保存実結果の対応比較

局在×周期noiseの相互作用を比較する

同じ人工24入力の平均変動対応版(v2) → 相互作用対応版(v3)。唯一の追加はglobal η∈{0,1}。入力SHA・参照コード・実行環境を三者照合済み。PML/WORLDは初回v1の保存測定の引用です。新しいv3参照測定ではありません。

既知source位相/F0・filter Hのoracle条件と、PML/WORLDの通常推定は異なります。自然音声・自然/b/・総合音質・正式採用の証拠ではありません。C4に基づく設計変更で、未知条件への汎化は未検証。C3悪化や他条件の誤帰属も確認してください。η1の局在powerはσ²ce×r、σ²cをpeakとは呼びません。

結果は混在:C4は改善、C3には誤った結合

C4のη1選択は2/4。140 Hzのevent内KL平均は0.03104459 → 0.01128949。C3では1/4(入力seed104729)でη1を誤選択し、同KL平均は0.0006422798 → 0.008324011へ悪化しました。全条件での改善ではありません。

以下は結果を見て選んだ対照例です。C4の改善例とC3の失敗例を並べます。後段の事前固定seed0代表6例とは別で、成功率の根拠にはしません。

C4改善例:入力seed0

native 120 Hz。原入力以外は復号seed0(WORLDはAPI seedなし)。

PML(初回保存参照)WAVを保存
WORLD(初回保存参照)WAVを保存
原入力WAVを保存
平均変動対応版(v2)WAVを保存
相互作用対応版(v3)WAVを保存
C4改善例:入力seed0の平均・全分散・局在分散とevent拡大
保存解析配列。上段120 Hz・下段140 Hz。期待分布の適合であり聴感順位ではありません。

C3失敗例:入力seed104729

native 120 Hz。原入力以外は復号seed0(WORLDはAPI seedなし)。

PML(初回保存参照)WAVを保存
WORLD(初回保存参照)WAVを保存
原入力WAVを保存
平均変動対応版(v2)WAVを保存
相互作用対応版(v3)WAVを保存
C3失敗例:入力seed104729の平均・全分散・局在分散とevent拡大
保存解析配列。上段120 Hz・下段140 Hz。期待分布の適合であり聴感順位ではありません。

弱い証拠を硬い意味ラベルにしない

確率的VUV/F0という着想との接点は、不確かな証拠を物理的な有無へ直結させないことです。今回はη枝のscore差が弱く、誤った結合選択も生じました。不確実性を保持する研究課題は残りますが、ηの平均化やconfidence→noiseが有効だという証明ではありません。結果後のsoft η実験は行っていません。予測Gaussian混合には新しい評価契約が必要で、既存の単一Gaussian条件付きKLをそのまま流用できません。

対応数値:native / 140 Hz

v2 → v3、Δ=v3−v2。4入力seedの対応平均。復号seedは独立反復に数えません。KLは既知Gaussian分布のH前の条件付き量(nats/標本)。PML/WORLDには定義しません。eventなしの内側は該当なし。符号付き誤差はゼロとの距離で解釈します。

順位は同一条件・同一音高・同一領域の対応KLのみ(低いほど上位)。表示丸め前の保存値を比較し、完全一致は両者同率1位、欠測・該当なしは順位なし。平均欄は対応入力seedの平均値で比較します。統計的有意差・総合音質順位ではありません。PML/WORLD、RTF、他の指標はこの順位の対象外です。

条件HzKL 全体KL event内KL event外平均MSE分散MSEq L2誤差局在積分誤差局在支持外power局在開始前power局在重心誤差 秒局在形状MSE event内event数誤差
C01200.000848355 → 0.000848355v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.000848355 → 0.000848355v2 同率1位 / v3 同率1位
Δ 0
n=4/4
5.77952e-07 → 5.77952e-07
Δ 0
n=4/4
7.68616e-11 → 7.68616e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
C01400.000848918 → 0.000848918v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.000848918 → 0.000848918v2 同率1位 / v3 同率1位
Δ 0
n=4/4
5.78377e-07 → 5.78377e-07
Δ 0
n=4/4
7.68616e-11 → 7.68616e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
C11200.00167486 → 0.00167486v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.00167486 → 0.00167486v2 同率1位 / v3 同率1位
Δ 0
n=4/4
9.65982e-07 → 9.65982e-07
Δ 0
n=4/4
6.48874e-11 → 6.48874e-11
Δ 0
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
C11400.00168082 → 0.00168082v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.00168082 → 0.00168082v2 同率1位 / v3 同率1位
Δ 0
n=4/4
9.68176e-07 → 9.68176e-07
Δ 0
n=4/4
6.47378e-11 → 6.47378e-11
Δ 0
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
C21200.00139774 → 0.00139774v2 同率1位 / v3 同率1位
Δ 0
n=4/4
0.021635 → 0.021635v2 同率1位 / v3 同率1位
Δ 0
n=4/4
0.000739663 → 0.000739663v2 同率1位 / v3 同率1位
Δ 0
n=4/4
5.35787e-07 → 5.35787e-07
Δ 0
n=4/4
2.05497e-09 → 2.05497e-09
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
6.4931e-09 → 6.4931e-09
Δ 0
n=4/4
1.22486e-11 → 1.22486e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0.00025 → 0.00025
Δ 0
n=4/4
6.36932e-08 → 6.36932e-08
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
C21400.00139686 → 0.00139686v2 同率1位 / v3 同率1位
Δ 0
n=4/4
0.0216353 → 0.0216353v2 同率1位 / v3 同率1位
Δ 0
n=4/4
0.00073874 → 0.00073874v2 同率1位 / v3 同率1位
Δ 0
n=4/4
5.3551e-07 → 5.3551e-07
Δ 0
n=4/4
2.05497e-09 → 2.05497e-09
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
6.4931e-09 → 6.4931e-09
Δ 0
n=4/4
1.22486e-11 → 1.22486e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0.00025 → 0.00025
Δ 0
n=4/4
6.36932e-08 → 6.36932e-08
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
C31200.00112682 → 0.00134319v2 1位 / v3 2位
Δ 0.000216365
n=4/4
0.000674641 → 0.00744799v2 1位 / v3 2位
Δ 0.00677335
n=4/4
0.00114152 → 0.00114467v2 1位 / v3 2位
Δ 3.14323e-06
n=4/4
8.21274e-07 → 8.21269e-07
Δ -5.26439e-12
n=4/4
4.78621e-11 → 8.38085e-10
Δ 7.90223e-10
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
3.89232e-08 → -1.8038e-07
Δ -2.19303e-07
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
6.93889e-18 → 0.000120948
Δ 0.000120948
n=4/4
1.43339e-10 → 2.51445e-08
Δ 2.50012e-08
n=4/4
0 → 0
Δ 0
n=4/4
C31400.0011298 → 0.00137481v2 1位 / v3 2位
Δ 0.000245015
n=4/4
0.00064228 → 0.00832401v2 1位 / v3 2位
Δ 0.00768173
n=4/4
0.00114565 → 0.00114884v2 1位 / v3 2位
Δ 3.18537e-06
n=4/4
8.21395e-07 → 8.21397e-07
Δ 1.78534e-12
n=4/4
4.76167e-11 → 1.04201e-09
Δ 9.94396e-10
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
3.89232e-08 → -2.37293e-07
Δ -2.76216e-07
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
6.93889e-18 → 0.000125154
Δ 0.000125154
n=4/4
1.43339e-10 → 3.16723e-08
Δ 3.15289e-08
n=4/4
0 → 0
Δ 0
n=4/4
C41200.00192408 → 0.00125405v2 2位 / v3 1位
Δ -0.000670026
n=4/4
0.031201 → 0.0102039v2 2位 / v3 1位
Δ -0.020997
n=4/4
0.000972042 → 0.000963014v2 2位 / v3 1位
Δ -9.02719e-06
n=4/4
6.6702e-07 → 6.65552e-07
Δ -1.46803e-09
n=4/4
4.01307e-09 → 1.59117e-09
Δ -2.4219e-09
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
1.68749e-08 → 4.3526e-07
Δ 4.18385e-07
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
-0.000483792 → -0.000241896
Δ 0.000241896
n=4/4
1.27817e-07 → 5.01932e-08
Δ -7.7624e-08
n=4/4
0 → 0
Δ 0
n=4/4
C41400.00191427 → 0.00128337v2 2位 / v3 1位
Δ -0.0006309
n=4/4
0.0310446 → 0.0112895v2 2位 / v3 1位
Δ -0.0197551
n=4/4
0.000967003 → 0.000957989v2 2位 / v3 1位
Δ -9.01408e-06
n=4/4
6.65739e-07 → 6.64278e-07
Δ -1.46188e-09
n=4/4
4.34241e-09 → 2.00175e-09
Δ -2.34066e-09
n=4/4
5.55112e-17 → 5.55112e-17
Δ 0
n=4/4
2.40949e-07 → 5.4665e-07
Δ 3.05702e-07
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
-0.000500617 → -0.000250309
Δ 0.000250309
n=4/4
1.38189e-07 → 6.32644e-08
Δ -7.4925e-08
n=4/4
0 → 0
Δ 0
n=4/4
C51200.00325862 → 0.00325862v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.00325862 → 0.00325862v2 同率1位 / v3 同率1位
Δ 0
n=4/4
2.53367e-06 → 2.53367e-06
Δ 0
n=4/4
6.36384e-11 → 6.36384e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
C51400.00560181 → 0.00560181v2 同率1位 / v3 同率1位
Δ 0
n=4/4
未記録 n=0/40.00560181 → 0.00560181v2 同率1位 / v3 同率1位
Δ 0
n=4/4
4.41249e-06 → 4.41249e-06
Δ 0
n=4/4
6.36384e-11 → 6.36384e-11
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
0 → 0
Δ 0
n=4/4
未記録 n=0/4未記録 n=0/4未記録 n=0/40 → 0
Δ 0
n=4/4
全4入力seedの対応値
条件入力seedHzKL 全体KL event内KL event外平均MSE分散MSEq L2誤差局在積分誤差局在支持外power局在開始前power局在重心誤差 秒局在形状MSE event内event数誤差
C001200.00059602 → 0.00059602v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00059602 → 0.00059602v2 同率1位 / v3 同率1位
Δ 0
4.53182e-07 → 4.53182e-07
Δ 0
1.51464e-11 → 1.51464e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C0202610151200.000920488 → 0.000920488v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000920488 → 0.000920488v2 同率1位 / v3 同率1位
Δ 0
6.02339e-07 → 6.02339e-07
Δ 0
1.24843e-10 → 1.24843e-10
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C0202610191200.000915632 → 0.000915632v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000915632 → 0.000915632v2 同率1位 / v3 同率1位
Δ 0
6.30468e-07 → 6.30468e-07
Δ 0
6.89801e-11 → 6.89801e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C01047291200.00096128 → 0.00096128v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00096128 → 0.00096128v2 同率1位 / v3 同率1位
Δ 0
6.25818e-07 → 6.25818e-07
Δ 0
9.84767e-11 → 9.84767e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C001400.000594414 → 0.000594414v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000594414 → 0.000594414v2 同率1位 / v3 同率1位
Δ 0
4.5191e-07 → 4.5191e-07
Δ 0
1.51464e-11 → 1.51464e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C0202610151400.000919588 → 0.000919588v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000919588 → 0.000919588v2 同率1位 / v3 同率1位
Δ 0
6.01599e-07 → 6.01599e-07
Δ 0
1.24843e-10 → 1.24843e-10
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C0202610191400.000915975 → 0.000915975v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000915975 → 0.000915975v2 同率1位 / v3 同率1位
Δ 0
6.30736e-07 → 6.30736e-07
Δ 0
6.89801e-11 → 6.89801e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C01047291400.000965695 → 0.000965695v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.000965695 → 0.000965695v2 同率1位 / v3 同率1位
Δ 0
6.29263e-07 → 6.29263e-07
Δ 0
9.84767e-11 → 9.84767e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C101200.00164612 → 0.00164612v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00164612 → 0.00164612v2 同率1位 / v3 同率1位
Δ 0
9.17622e-07 → 9.17622e-07
Δ 0
1.14743e-12 → 1.14743e-12
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C1202610151200.00158929 → 0.00158929v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00158929 → 0.00158929v2 同率1位 / v3 同率1位
Δ 0
1.05317e-06 → 1.05317e-06
Δ 0
4.14975e-13 → 4.14975e-13
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C1202610191200.00210855 → 0.00210855v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00210855 → 0.00210855v2 同率1位 / v3 同率1位
Δ 0
1.09062e-06 → 1.09062e-06
Δ 0
1.97157e-10 → 1.97157e-10
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C11047291200.00135547 → 0.00135547v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00135547 → 0.00135547v2 同率1位 / v3 同率1位
Δ 0
8.02522e-07 → 8.02522e-07
Δ 0
6.08295e-11 → 6.08295e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C101400.00166642 → 0.00166642v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00166642 → 0.00166642v2 同率1位 / v3 同率1位
Δ 0
9.26886e-07 → 9.26886e-07
Δ 0
1.14479e-12 → 1.14479e-12
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C1202610151400.00158484 → 0.00158484v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00158484 → 0.00158484v2 同率1位 / v3 同率1位
Δ 0
1.05034e-06 → 1.05034e-06
Δ 0
4.14019e-13 → 4.14019e-13
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C1202610191400.00211411 → 0.00211411v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00211411 → 0.00211411v2 同率1位 / v3 同率1位
Δ 0
1.09275e-06 → 1.09275e-06
Δ 0
1.96703e-10 → 1.96703e-10
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C11047291400.0013579 → 0.0013579v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.0013579 → 0.0013579v2 同率1位 / v3 同率1位
Δ 0
8.02729e-07 → 8.02729e-07
Δ 0
6.06893e-11 → 6.06893e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C201200.000376552 → 0.000376552v2 同率1位 / v3 同率1位
Δ 0
0.00021948 → 0.00021948v2 同率1位 / v3 同率1位
Δ 0
0.000381659 → 0.000381659v2 同率1位 / v3 同率1位
Δ 0
2.33413e-07 → 2.33413e-07
Δ 0
7.63901e-11 → 7.63901e-11
Δ 0
0 → 0
Δ 0
9.03396e-08 → 9.03396e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
2.59703e-10 → 2.59703e-10
Δ 0
0 → 0
Δ 0
C2202610151200.00107562 → 0.00107562v2 同率1位 / v3 同率1位
Δ 0
0.00068874 → 0.00068874v2 同率1位 / v3 同率1位
Δ 0
0.0010882 → 0.0010882v2 同率1位 / v3 同率1位
Δ 0
8.31684e-07 → 8.31684e-07
Δ 0
5.17399e-11 → 5.17399e-11
Δ 0
0 → 0
Δ 0
7.43486e-08 → 7.43486e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.759e-10 → 1.759e-10
Δ 0
0 → 0
Δ 0
C2202610191200.00356807 → 0.00356807v2 同率1位 / v3 同率1位
Δ 0
0.0852259 → 0.0852259v2 同率1位 / v3 同率1位
Δ 0
0.000912697 → 0.000912697v2 同率1位 / v3 同率1位
Δ 0
6.58869e-07 → 6.58869e-07
Δ 0
8.05699e-09 → 8.05699e-09
Δ 0
0 → 0
Δ 0
-7.77891e-08 → -7.77891e-08
Δ 0
4.89946e-11 → 4.89946e-11
Δ 0
0 → 0
Δ 0
0.001 → 0.001
Δ 0
2.54219e-07 → 2.54219e-07
Δ 0
0 → 0
Δ 0
C21047291200.000570736 → 0.000570736v2 同率1位 / v3 同率1位
Δ 0
0.00040594 → 0.00040594v2 同率1位 / v3 同率1位
Δ 0
0.000576095 → 0.000576095v2 同率1位 / v3 同率1位
Δ 0
4.19183e-07 → 4.19183e-07
Δ 0
3.47452e-11 → 3.47452e-11
Δ 0
0 → 0
Δ 0
-6.09266e-08 → -6.09266e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.18123e-10 → 1.18123e-10
Δ 0
0 → 0
Δ 0
C201400.000376897 → 0.000376897v2 同率1位 / v3 同率1位
Δ 0
0.000243534 → 0.000243534v2 同率1位 / v3 同率1位
Δ 0
0.000381234 → 0.000381234v2 同率1位 / v3 同率1位
Δ 0
2.33653e-07 → 2.33653e-07
Δ 0
7.63901e-11 → 7.63901e-11
Δ 0
0 → 0
Δ 0
9.03396e-08 → 9.03396e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
2.59703e-10 → 2.59703e-10
Δ 0
0 → 0
Δ 0
C2202610151400.00107152 → 0.00107152v2 同率1位 / v3 同率1位
Δ 0
0.000692075 → 0.000692075v2 同率1位 / v3 同率1位
Δ 0
0.00108386 → 0.00108386v2 同率1位 / v3 同率1位
Δ 0
8.28528e-07 → 8.28528e-07
Δ 0
5.17399e-11 → 5.17399e-11
Δ 0
0 → 0
Δ 0
7.43486e-08 → 7.43486e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.759e-10 → 1.759e-10
Δ 0
0 → 0
Δ 0
C2202610191400.00357094 → 0.00357094v2 同率1位 / v3 同率1位
Δ 0
0.0852206 → 0.0852206v2 同率1位 / v3 同率1位
Δ 0
0.00091583 → 0.00091583v2 同率1位 / v3 同率1位
Δ 0
6.61898e-07 → 6.61898e-07
Δ 0
8.05699e-09 → 8.05699e-09
Δ 0
0 → 0
Δ 0
-7.77891e-08 → -7.77891e-08
Δ 0
4.89946e-11 → 4.89946e-11
Δ 0
0 → 0
Δ 0
0.001 → 0.001
Δ 0
2.54219e-07 → 2.54219e-07
Δ 0
0 → 0
Δ 0
C21047291400.000568086 → 0.000568086v2 同率1位 / v3 同率1位
Δ 0
0.000385046 → 0.000385046v2 同率1位 / v3 同率1位
Δ 0
0.000574038 → 0.000574038v2 同率1位 / v3 同率1位
Δ 0
4.17962e-07 → 4.17962e-07
Δ 0
3.47452e-11 → 3.47452e-11
Δ 0
0 → 0
Δ 0
-6.09266e-08 → -6.09266e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.18123e-10 → 1.18123e-10
Δ 0
0 → 0
Δ 0
C301200.00157295 → 0.00157295v2 同率1位 / v3 同率1位
Δ 0
0.000510608 → 0.000510608v2 同率1位 / v3 同率1位
Δ 0
0.00160749 → 0.00160749v2 同率1位 / v3 同率1位
Δ 0
9.0922e-07 → 9.0922e-07
Δ 0
6.482e-11 → 6.482e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
7.81052e-08 → 7.81052e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.94125e-10 → 1.94125e-10
Δ 0
0 → 0
Δ 0
C3202610151200.00147433 → 0.00147433v2 同率1位 / v3 同率1位
Δ 0
0.00103544 → 0.00103544v2 同率1位 / v3 同率1位
Δ 0
0.0014886 → 0.0014886v2 同率1位 / v3 同率1位
Δ 0
1.2839e-06 → 1.2839e-06
Δ 0
3.22371e-11 → 3.22371e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
-5.50812e-08 → -5.50812e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.38778e-17 → 1.38778e-17
Δ 0
9.65446e-11 → 9.65446e-11
Δ 0
0 → 0
Δ 0
C3202610191200.000761325 → 0.000761325v2 同率1位 / v3 同率1位
Δ 0
0.000610607 → 0.000610607v2 同率1位 / v3 同率1位
Δ 0
0.000766227 → 0.000766227v2 同率1位 / v3 同率1位
Δ 0
6.48725e-07 → 6.48725e-07
Δ 0
5.62744e-11 → 5.62744e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
7.27747e-08 → 7.27747e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-1.38778e-17 → -1.38778e-17
Δ 0
1.68532e-10 → 1.68532e-10
Δ 0
0 → 0
Δ 0
C31047291200.000698674 → 0.00156413v2 1位 / v3 2位
Δ 0.00086546
0.000541909 → 0.0276353v2 1位 / v3 2位
Δ 0.0270934
0.000703772 → 0.000716345v2 1位 / v3 2位
Δ 1.25729e-05
4.43254e-07 → 4.43233e-07
Δ -2.10576e-11
3.81169e-11 → 3.19901e-09
Δ 3.16089e-09
5.55112e-17 → 5.55112e-17
Δ 0
5.98941e-08 → -8.17319e-07
Δ -8.77213e-07
0 → 0
Δ 0
0 → 0
Δ 0
2.77556e-17 → 0.000483792
Δ 0.000483792
1.14154e-10 → 1.00119e-07
Δ 1.00005e-07
0 → 0
Δ 0
C301400.00159777 → 0.00159777v2 同率1位 / v3 同率1位
Δ 0
0.000441197 → 0.000441197v2 同率1位 / v3 同率1位
Δ 0
0.00163538 → 0.00163538v2 同率1位 / v3 同率1位
Δ 0
9.18923e-07 → 9.18923e-07
Δ 0
6.44876e-11 → 6.44876e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
7.81052e-08 → 7.81052e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.94125e-10 → 1.94125e-10
Δ 0
0 → 0
Δ 0
C3202610151400.00146938 → 0.00146938v2 同率1位 / v3 同率1位
Δ 0
0.00089308 → 0.00089308v2 同率1位 / v3 同率1位
Δ 0
0.00148812 → 0.00148812v2 同率1位 / v3 同率1位
Δ 0
1.27912e-06 → 1.27912e-06
Δ 0
3.20718e-11 → 3.20718e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
-5.50812e-08 → -5.50812e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
1.38778e-17 → 1.38778e-17
Δ 0
9.65446e-11 → 9.65446e-11
Δ 0
0 → 0
Δ 0
C3202610191400.000756321 → 0.000756321v2 同率1位 / v3 同率1位
Δ 0
0.000653797 → 0.000653797v2 同率1位 / v3 同率1位
Δ 0
0.000759655 → 0.000759655v2 同率1位 / v3 同率1位
Δ 0
6.45904e-07 → 6.45904e-07
Δ 0
5.59858e-11 → 5.59858e-11
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
7.27747e-08 → 7.27747e-08
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-1.38778e-17 → -1.38778e-17
Δ 0
1.68532e-10 → 1.68532e-10
Δ 0
0 → 0
Δ 0
C31047291400.000695722 → 0.00167578v2 1位 / v3 2位
Δ 0.000980058
0.000581045 → 0.031308v2 1位 / v3 2位
Δ 0.0307269
0.000699451 → 0.000712193v2 1位 / v3 2位
Δ 1.27415e-05
4.41632e-07 → 4.41639e-07
Δ 7.14135e-12
3.79215e-11 → 4.01551e-09
Δ 3.97758e-09
5.55112e-17 → 5.55112e-17
Δ 0
5.98941e-08 → -1.04497e-06
Δ -1.10486e-06
0 → 0
Δ 0
0 → 0
Δ 0
2.77556e-17 → 0.000500617
Δ 0.000500617
1.14154e-10 → 1.2623e-07
Δ 1.26116e-07
0 → 0
Δ 0
C401200.00331181 → 0.0012347v2 2位 / v3 1位
Δ -0.00207711
0.0649943 → 0.000735628v2 2位 / v3 1位
Δ -0.0642587
0.001306 → 0.00125093v2 2位 / v3 1位
Δ -5.50759e-05
8.58999e-07 → 8.39843e-07
Δ -1.91558e-08
6.41254e-09 → 2.32646e-12
Δ -6.41022e-09
5.55112e-17 → 5.55112e-17
Δ 0
-2.53094e-06 → 1.21884e-08
Δ 2.54312e-06
0 → 0
Δ 0
0 → 0
Δ 0
-0.000483792 → 1.38778e-17
Δ 0.000483792
2.06232e-07 → 4.47281e-12
Δ -2.06227e-07
0 → 0
Δ 0
C4202610151200.00120961 → 0.00120961v2 同率1位 / v3 同率1位
Δ 0
0.0197507 → 0.0197507v2 同率1位 / v3 同率1位
Δ 0
0.000606685 → 0.000606685v2 同率1位 / v3 同率1位
Δ 0
3.53356e-07 → 3.53356e-07
Δ 0
3.22942e-09 → 3.22942e-09
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
8.7764e-07 → 8.7764e-07
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-0.000483792 → -0.000483792
Δ 0
1.02537e-07 → 1.02537e-07
Δ 0
0 → 0
Δ 0
C4202610191200.0011095 → 0.000506505v2 2位 / v3 1位
Δ -0.000602992
0.0200511 → 0.000321643v2 2位 / v3 1位
Δ -0.0197294
0.000493549 → 0.000512516v2 1位 / v3 2位
Δ 1.89672e-05
4.52127e-07 → 4.65411e-07
Δ 1.32837e-08
3.29187e-09 → 1.44787e-11
Δ -3.27739e-09
5.55112e-17 → 5.55112e-17
Δ 0
8.99989e-07 → 3.04062e-08
Δ -8.69583e-07
0 → 0
Δ 0
0 → 0
Δ 0
-0.000483792 → 0
Δ 0.000483792
1.04297e-07 → 2.78365e-11
Δ -1.04269e-07
0 → 0
Δ 0
C41047291200.00206538 → 0.00206538v2 同率1位 / v3 同率1位
Δ 0
0.0200077 → 0.0200077v2 同率1位 / v3 同率1位
Δ 0
0.00148193 → 0.00148193v2 同率1位 / v3 同率1位
Δ 0
1.0036e-06 → 1.0036e-06
Δ 0
3.11845e-09 → 3.11845e-09
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
8.20805e-07 → 8.20805e-07
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-0.000483792 → -0.000483792
Δ 0
9.82038e-08 → 9.82038e-08
Δ 0
0 → 0
Δ 0
C401400.00308531 → 0.00123051v2 2位 / v3 1位
Δ -0.0018548
0.0578869 → 0.000685168v2 2位 / v3 1位
Δ -0.0572017
0.00130326 → 0.00124824v2 2位 / v3 1位
Δ -5.50183e-05
8.5594e-07 → 8.3683e-07
Δ -1.91104e-08
5.23186e-09 → 2.28976e-12
Δ -5.22957e-09
5.55112e-17 → 5.55112e-17
Δ 0
-2.30686e-06 → 1.14482e-08
Δ 2.31831e-06
0 → 0
Δ 0
0 → 0
Δ 0
-0.000500617 → 0
Δ 0.000500617
1.68324e-07 → 3.8196e-12
Δ -1.6832e-07
0 → 0
Δ 0
C4202610151400.00128234 → 0.00128234v2 同率1位 / v3 同率1位
Δ 0
0.0217919 → 0.0217919v2 同率1位 / v3 同率1位
Δ 0
0.000615407 → 0.000615407v2 同率1位 / v3 同率1位
Δ 0
3.56026e-07 → 3.56026e-07
Δ 0
4.0699e-09 → 4.0699e-09
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
1.10171e-06 → 1.10171e-06
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-0.000500617 → -0.000500617
Δ 0
1.2922e-07 → 1.2922e-07
Δ 0
0 → 0
Δ 0
C4202610191400.00117367 → 0.00050488v2 2位 / v3 1位
Δ -0.000668795
0.0221821 → 0.000363461v2 2位 / v3 1位
Δ -0.0218187
0.000490517 → 0.000509479v2 1位 / v3 2位
Δ 1.8962e-05
4.50716e-07 → 4.63978e-07
Δ 1.32629e-08
4.14733e-09 → 1.42503e-11
Δ -4.13308e-09
5.55112e-17 → 5.55112e-17
Δ 0
1.12406e-06 → 2.85598e-08
Δ -1.0955e-06
0 → 0
Δ 0
0 → 0
Δ 0
-0.000500617 → 1.38778e-17
Δ 0.000500617
1.31404e-07 → 2.37712e-11
Δ -1.3138e-07
0 → 0
Δ 0
C41047291400.00211576 → 0.00211576v2 同率1位 / v3 同率1位
Δ 0
0.0223175 → 0.0223175v2 同率1位 / v3 同率1位
Δ 0
0.00145883 → 0.00145883v2 同率1位 / v3 同率1位
Δ 0
1.00028e-06 → 1.00028e-06
Δ 0
3.92057e-09 → 3.92057e-09
Δ 0
5.55112e-17 → 5.55112e-17
Δ 0
1.04488e-06 → 1.04488e-06
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
-0.000500617 → -0.000500617
Δ 0
1.2381e-07 → 1.2381e-07
Δ 0
0 → 0
Δ 0
C501200.00509065 → 0.00509065v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00509065 → 0.00509065v2 同率1位 / v3 同率1位
Δ 0
4.03567e-06 → 4.03567e-06
Δ 0
7.36217e-12 → 7.36217e-12
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C5202610151200.00184697 → 0.00184697v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00184697 → 0.00184697v2 同率1位 / v3 同率1位
Δ 0
1.32992e-06 → 1.32992e-06
Δ 0
8.94631e-11 → 8.94631e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C5202610191200.00447489 → 0.00447489v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00447489 → 0.00447489v2 同率1位 / v3 同率1位
Δ 0
3.59064e-06 → 3.59064e-06
Δ 0
3.21981e-11 → 3.21981e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C51047291200.00162196 → 0.00162196v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00162196 → 0.00162196v2 同率1位 / v3 同率1位
Δ 0
1.17844e-06 → 1.17844e-06
Δ 0
1.2553e-10 → 1.2553e-10
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C501400.00813418 → 0.00813418v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00813418 → 0.00813418v2 同率1位 / v3 同率1位
Δ 0
6.45398e-06 → 6.45398e-06
Δ 0
7.36217e-12 → 7.36217e-12
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C5202610151400.00367663 → 0.00367663v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00367663 → 0.00367663v2 同率1位 / v3 同率1位
Δ 0
2.75903e-06 → 2.75903e-06
Δ 0
8.94631e-11 → 8.94631e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C5202610191400.00742633 → 0.00742633v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.00742633 → 0.00742633v2 同率1位 / v3 同率1位
Δ 0
5.98528e-06 → 5.98528e-06
Δ 0
3.21981e-11 → 3.21981e-11
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0
C51047291400.0031701 → 0.0031701v2 同率1位 / v3 同率1位
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0.0031701 → 0.0031701v2 同率1位 / v3 同率1位
Δ 0
2.45165e-06 → 2.45165e-06
Δ 0
1.2553e-10 → 1.2553e-10
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
0 → 0
Δ 0
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
未記録 / 該当なし → 未記録 / 該当なし
Δ 未記録 / 該当なし
0 → 0
Δ 0

η・q・gain・背景分散・容量

η識別対象はC3(真値0)・C4(真値1)の8 encodeのみ。q0またはevent0なら非同定でη0へcanonical化します。C0/C1/C2/C5を正解数に含めません。欠測・非同定を成功へ読み替えません。η1のlog2罰則は実行前固定の事前選好で、posteriorや厳密な保存bit MDLではありません。σ²真値は0.0004。packed最大core49 bytes、clock込み57 bytesと実JSON容量は別です。

入力η真値(対象のみ)採用η識別q index v2→v3gain mode v2→v3σ² v2→v3payload bytes v2→v3同一fit v2形式増分
C0_seed0未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000396108 → 0.000396108
Δ 0
609 → 638
Δ 29
29
C0_seed20261015未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000411173 → 0.000411173
Δ 0
609 → 638
Δ 29
29
C0_seed20261019未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000391695 → 0.000391695
Δ 0
611 → 640
Δ 29
29
C0_seed104729未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000390076 → 0.000390076
Δ 0
608 → 637
Δ 29
29
C1_seed0未記録 / 該当なし0識別対象外10 → 10
Δ 0
0 → 0
Δ 0
0.000399015 → 0.000399015
Δ 0
611 → 640
Δ 29
29
C1_seed20261015未記録 / 該当なし0識別対象外10 → 10
Δ 0
0 → 0
Δ 0
0.000400593 → 0.000400593
Δ 0
608 → 637
Δ 29
29
C1_seed20261019未記録 / 該当なし0識別対象外10 → 10
Δ 0
0 → 0
Δ 0
0.000387085 → 0.000387085
Δ 0
612 → 641
Δ 29
29
C1_seed104729未記録 / 該当なし0識別対象外10 → 10
Δ 0
0 → 0
Δ 0
0.000407174 → 0.000407174
Δ 0
611 → 640
Δ 29
29
C2_seed0未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000407914 → 0.000407914
Δ 0
642 → 671
Δ 29
29
C2_seed20261015未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000406513 → 0.000406513
Δ 0
643 → 672
Δ 29
29
C2_seed20261019未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000393186 → 0.000393186
Δ 0
645 → 674
Δ 29
29
C2_seed104729未記録 / 該当なし0識別対象外0 → 0
Δ 0
0 → 0
Δ 0
0.000394663 → 0.000394663
Δ 0
643 → 672
Δ 29
29
C3_seed000一致10 → 10
Δ 0
0 → 0
Δ 0
0.000406842 → 0.000406842
Δ 0
643 → 672
Δ 29
29
C3_seed2026101500一致10 → 10
Δ 0
0 → 0
Δ 0
0.000395175 → 0.000395175
Δ 0
646 → 675
Δ 29
29
C3_seed2026101900一致10 → 10
Δ 0
0 → 0
Δ 0
0.000406375 → 0.000406375
Δ 0
645 → 674
Δ 29
29
C3_seed10472901不一致10 → 10
Δ 0
0 → 0
Δ 0
0.000405247 → 0.000406386
Δ 1.13932e-06
642 → 673
Δ 31
29
C4_seed011一致10 → 10
Δ 0
0 → 0
Δ 0
0.000406146 → 0.000401321
Δ -4.82432e-06
644 → 673
Δ 29
29
C4_seed2026101510不一致10 → 10
Δ 0
0 → 0
Δ 0
0.000400123 → 0.000400123
Δ 0
644 → 673
Δ 29
29
C4_seed2026101911一致10 → 10
Δ 0
0 → 0
Δ 0
0.000402081 → 0.000403296
Δ 1.21476e-06
642 → 673
Δ 31
29
C4_seed10472910不一致10 → 10
Δ 0
0 → 0
Δ 0
0.000395145 → 0.000395145
Δ 0
645 → 674
Δ 29
29
C5_seed0未記録 / 該当なし0識別対象外0 → 0
Δ 0
1 → 1
Δ 0
0.000397287 → 0.000397287
Δ 0
606 → 635
Δ 29
29
C5_seed20261015未記録 / 該当なし0識別対象外0 → 0
Δ 0
1 → 1
Δ 0
0.000390542 → 0.000390542
Δ 0
609 → 638
Δ 29
29
C5_seed20261019未記録 / 該当なし0識別対象外0 → 0
Δ 0
1 → 1
Δ 0
0.000405674 → 0.000405674
Δ 0
611 → 640
Δ 29
29
C5_seed104729未記録 / 該当なし0識別対象外0 → 0
Δ 0
1 → 1
Δ 0
0.000411204 → 0.000411204
Δ 0
613 → 642
Δ 29
29
入力B1−B0(新η罰則前)最終score1−score0
C0_seed035.108835.8019
C0_seed2026101534.592335.2855
C0_seed2026101937.970638.6638
C0_seed10472942.451143.1443
C1_seed09.8236510.5168
C1_seed202610156.520037.21318
C1_seed202610197.399848.09298
C1_seed1047296.342847.03598
C2_seed041.50142.1942
C2_seed2026101532.381833.075
C2_seed2026101933.82934.5222
C2_seed10472934.481535.1746
C3_seed02.702513.39566
C3_seed202610151.815442.50859
C3_seed202610191.579972.27312
C3_seed104729-1.44347-0.750324
C4_seed0-2.06841-1.37526
C4_seed202610154.208734.90188
C4_seed20261019-1.01516-0.322011
C4_seed1047290.7771411.47029
C5_seed049.447950.141
C5_seed2026101533.675634.3687
C5_seed2026101946.691947.3851
C5_seed10472939.613440.3066

BηはGaussian NLL+event/gain罰則。新しいη罰則だけを外した比較です。Gaussian項・event/gain/η罰則の内訳は各例の診断と圧縮表に保存。負のgapはη1優位です。

全24入力の実行状態
入力v2v3v3 error
C0_seed0okok
C0_seed20261015okok
C0_seed20261019okok
C0_seed104729okok
C1_seed0okok
C1_seed20261015okok
C1_seed20261019okok
C1_seed104729okok
C2_seed0okok
C2_seed20261015okok
C2_seed20261019okok
C2_seed104729okok
C3_seed0okok
C3_seed20261015okok
C3_seed20261019okok
C3_seed104729okok
C4_seed0okok
C4_seed20261015okok
C4_seed20261019okok
C4_seed104729okok
C5_seed0okok
C5_seed20261015okok
C5_seed20261019okok
C5_seed104729okok

固定6例を聴く

各条件の入力seed0を固定。成功例への選び直しなし。音声はint16(rint(float64(x)×32767))のPCM16形式コピーのみ。clip・正規化・再合成なし。ブラウザ再生は未検証。nativeでもnoise実現は原入力と異なります。

C0 一定雑音 / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172699
[0].acoustic.peak0.593378
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz172.82
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames43
[0].output_f0.positive_median_hz118.473
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.207929
[1].acoustic.peak0.599593
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz149.423
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.656
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156199
[0].acoustic.peak0.402375
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz200.156
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.878
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151381
[0].acoustic.peak0.373136
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.091
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00059602
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00059602
[0].mechanism.mean_error.mse.all4.53182e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.53182e-07
[0].mechanism.mean_error.mae.all0.000573782
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000573782
[0].mechanism.mean_error.bias.all4.75629e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside4.75629e-06
[0].mechanism.variance_error.mse.all1.51464e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.51464e-11
[0].mechanism.variance_error.mae.all3.89183e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside3.89183e-06
[0].mechanism.variance_error.bias.all-3.89183e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-3.89183e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.942
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152403
[1].acoustic.peak0.376152
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz205.253
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00059602
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00059602
[1].mechanism.mean_error.mse.all4.53182e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.53182e-07
[1].mechanism.mean_error.mae.all0.000573782
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000573782
[1].mechanism.mean_error.bias.all4.75629e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside4.75629e-06
[1].mechanism.variance_error.mse.all1.51464e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.51464e-11
[1].mechanism.variance_error.mae.all3.89183e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside3.89183e-06
[1].mechanism.variance_error.bias.all-3.89183e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-3.89183e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.99
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151381
[0].acoustic.peak0.373136
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.091
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00059602
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00059602
[0].mechanism.mean_error.mse.all4.53182e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.53182e-07
[0].mechanism.mean_error.mae.all0.000573782
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000573782
[0].mechanism.mean_error.bias.all4.75629e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside4.75629e-06
[0].mechanism.variance_error.mse.all1.51464e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.51464e-11
[0].mechanism.variance_error.mae.all3.89183e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside3.89183e-06
[0].mechanism.variance_error.bias.all-3.89183e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-3.89183e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.942
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152403
[1].acoustic.peak0.376152
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz205.253
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00059602
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00059602
[1].mechanism.mean_error.mse.all4.53182e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.53182e-07
[1].mechanism.mean_error.mae.all0.000573782
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000573782
[1].mechanism.mean_error.bias.all4.75629e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside4.75629e-06
[1].mechanism.variance_error.mse.all1.51464e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.51464e-11
[1].mechanism.variance_error.mae.all3.89183e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside3.89183e-06
[1].mechanism.variance_error.bias.all-3.89183e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-3.89183e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.99
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.176027
[0].acoustic.peak0.548851
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz174.845
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames42
[0].output_f0.positive_median_hz119.255
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.235545
[1].acoustic.peak0.722613
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz152.725
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.435
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150337
[0].acoustic.peak0.364936
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz216.73
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.887
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150964
[0].acoustic.peak0.367837
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz232.911
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000594414
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000594414
[0].mechanism.mean_error.mse.all4.5191e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.5191e-07
[0].mechanism.mean_error.mae.all0.000572876
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000572876
[0].mechanism.mean_error.bias.all3.05242e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside3.05242e-06
[0].mechanism.variance_error.mse.all1.51464e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.51464e-11
[0].mechanism.variance_error.mae.all3.89183e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside3.89183e-06
[0].mechanism.variance_error.bias.all-3.89183e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-3.89183e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.014
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150701
[1].acoustic.peak0.382104
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.932
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000594414
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000594414
[1].mechanism.mean_error.mse.all4.5191e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.5191e-07
[1].mechanism.mean_error.mae.all0.000572876
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000572876
[1].mechanism.mean_error.bias.all3.05242e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside3.05242e-06
[1].mechanism.variance_error.mse.all1.51464e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.51464e-11
[1].mechanism.variance_error.mae.all3.89183e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside3.89183e-06
[1].mechanism.variance_error.bias.all-3.89183e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-3.89183e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.994
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150964
[0].acoustic.peak0.367837
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz232.911
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000594414
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000594414
[0].mechanism.mean_error.mse.all4.5191e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.5191e-07
[0].mechanism.mean_error.mae.all0.000572876
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000572876
[0].mechanism.mean_error.bias.all3.05242e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside3.05242e-06
[0].mechanism.variance_error.mse.all1.51464e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.51464e-11
[0].mechanism.variance_error.mae.all3.89183e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside3.89183e-06
[0].mechanism.variance_error.bias.all-3.89183e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-3.89183e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.014
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150701
[1].acoustic.peak0.382104
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.932
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000594414
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000594414
[1].mechanism.mean_error.mse.all4.5191e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.5191e-07
[1].mechanism.mean_error.mae.all0.000572876
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000572876
[1].mechanism.mean_error.bias.all3.05242e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside3.05242e-06
[1].mechanism.variance_error.mse.all1.51464e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.51464e-11
[1].mechanism.variance_error.mae.all3.89183e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside3.89183e-06
[1].mechanism.variance_error.bias.all-3.89183e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-3.89183e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.994
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12542104173603025, 8.729192792626433e-05, 0.050627941329572636, 0.025331297006406503, 0.02550652702599852, -0.012604940462698135, 0.012564569240953328, 0.006980195320105041]
selected_unquantized.sigma2_raw0.000396108
selected_unquantized.sigma20.000396108
selected_unquantized.objective-13995.7
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13995.7
direct_rss1.62246
rss_difference7.61613e-14
sigma2_floor1.03677e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
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core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
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mean_gain_prepass.rss2.27573
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mean_gain_prepass.direct_rss2.27573
mean_gain_prepass.rss_difference6.83897e-14
mean_gain_prepass.direct_objective-13302.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03677e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13995.7
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000564216
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13295.9
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.65106
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap8.60286
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.70274e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.29728e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.6808e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.28535e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index2
branch_diagnostics[1].diagnostics.top_candidates[4].events[[87, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10396160557102098, 0.00013060084522086436, 0.04194043658258267, 0.021170764540203574, 0.02115445659478481, -0.010285783341555513, 0.010284426280056776, 0.0058842724306228805]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000564996
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000564996
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13294.2
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.66782
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap10.3414
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.80058e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.29619e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.79636e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.29789e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index2
branch_diagnostics[1].diagnostics.top_candidates[5].events[[12, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10389069209232603, 0.00014911295791043624, 0.04197404097448962, 0.021127357114266353, 0.021154546107542513, -0.010238786632180034, 0.010255470850072888, 0.005850015385575405]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000565047
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000565047
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13294
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.66922
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.5271
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.67806e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.29637e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.66312e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.28914e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index2
branch_diagnostics[1].diagnostics.top_candidates[6].events[[489, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10397750585459258, 0.00012644654396855063, 0.04190212600066282, 0.0211712976220038, 0.021214785391895568, -0.010272935135306567, 0.010209055986233348, 0.005862974425406583]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000564891
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000564891
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13293.8
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.65758
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap10.7608
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.36373e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.29775e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.33373e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.29583e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index2
branch_diagnostics[1].diagnostics.top_candidates[7].events[[366, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10397052716112117, 0.0001616091945125373, 0.041940022296382856, 0.02112697394674263, 0.021155022896390457, -0.0102444636505532, 0.010274040349180053, 0.00586353815294761]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000564816
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000564816
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13293.8
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.65106
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap10.7819
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.84026e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.29828e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.82983e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.29702e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index2
branch_diagnostics[1].diagnostics.top_candidates[8].events[[90, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10396084007172914, 0.00016947588184886906, 0.04196009359285343, 0.021121024793402613, 0.0211335369509303, -0.010250321226898628, 0.010285767361133945, 0.005871188985616018]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000564849
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000564849
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13293.7
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.65356
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap10.8305
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.96851e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.29817e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.95198e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.2937e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[15, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10392057364177609, 0.00013280586630879458, 0.041960296468777754, 0.02115707039651558, 0.02115581753792611, -0.010262166955906784, 0.010266125013184756, 0.005850040163906444]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000564888
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000564888
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13293.6
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.65702
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap10.9726
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.21853e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.29826e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.20026e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.29194e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12542104173603025, 8.729192792626433e-05, 0.050627941329572636, 0.025331297006406503, 0.02550652702599852, -0.012604940462698135, 0.012564569240953328, 0.006980195320105041]
selected_unquantized.sigma2_raw0.000396108
selected_unquantized.sigma20.000396108
selected_unquantized.objective-13995.7
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13995.7
direct_rss1.62246
rss_difference7.61613e-14
sigma2_floor1.03677e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12542104173603025, 8.729192792626433e-05, 0.050627941329572636, 0.025331297006406503, 0.02550652702599852, -0.012604940462698135, 0.012564569240953328, 0.006980195320105041]
top_candidates[0].sigma2_raw0.000396108
top_candidates[0].sigma20.000396108
top_candidates[0].objective-13995.7
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[85, 0]]
top_candidates[1].mean[0.1254310475783631, 0.00010358173902623182, 0.0506422491492656, 0.025307838694381395, 0.025480747572439365, -0.012603037833741343, 0.012585369585918212, 0.007008969809561566]
top_candidates[1].sigma2_raw0.000392119
top_candidates[1].sigma20.000392119
top_candidates[1].objective-13987.5
top_candidates[1].condition_number1.03053
top_candidates[1].objective_gap8.19641
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.53147e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.23612e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.53014e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.23612e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[291, 0]]
top_candidates[2].mean[0.12544611543618842, 0.00011245115160391133, 0.050625834313311996, 0.025300755284083435, 0.025493930804108198, -0.012582198760146983, 0.012585782937888838, 0.006968520245158206]
top_candidates[2].sigma2_raw0.000393831
top_candidates[2].sigma20.000393831
top_candidates[2].objective-13987.2
top_candidates[2].condition_number1.03301
top_candidates[2].objective_gap8.46322
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.74305e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.28217e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.73677e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.28217e-10
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[87, 0]]
top_candidates[3].mean[0.12542359094398584, 8.487319582364263e-05, 0.0506322121172354, 0.025337873837788467, 0.025491664351211394, -0.01261633932158696, 0.012590549584104604, 0.0069935947383680565]
top_candidates[3].sigma2_raw0.000393931
top_candidates[3].sigma20.000393931
top_candidates[3].objective-13986.7
top_candidates[3].condition_number1.03022
top_candidates[3].objective_gap8.98541
top_candidates[3].edit_difference_from_selected.120.0.mean_mse6.4382e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.28531e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse6.41992e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.28531e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[292, 0]]
top_candidates[4].mean[0.12540418683479365, 0.0001381809720957305, 0.050619441183755, 0.025333922940060642, 0.02549313045028242, -0.012577293116144968, 0.012575432930187177, 0.006985143309233099]
top_candidates[4].sigma2_raw0.000392334
top_candidates[4].sigma20.000392334
top_candidates[4].objective-13986.4
top_candidates[4].condition_number1.0437
top_candidates[4].objective_gap9.31504
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.01273e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.23768e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.00786e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.23768e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[487, 0]]
top_candidates[5].mean[0.1254256957879976, 8.081208888768322e-05, 0.050594698124468554, 0.02535433735232444, 0.025579171575257086, -0.012606759215848652, 0.012505114027616386, 0.006955616732051131]
top_candidates[5].sigma2_raw0.000392346
top_candidates[5].sigma20.000392346
top_candidates[5].objective-13986.3
top_candidates[5].condition_number1.0354
top_candidates[5].objective_gap9.3781
top_candidates[5].edit_difference_from_selected.120.0.mean_mse5.59399e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.23777e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.5823e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.23777e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[13, 0]]
top_candidates[6].mean[0.12542304643471672, 0.00010518087041954757, 0.05064187643981879, 0.02531783330906104, 0.02550800754292028, -0.012603062491051637, 0.012563664448586273, 0.0069593377822655044]
top_candidates[6].sigma2_raw0.000392346
top_candidates[6].sigma20.000392346
top_candidates[6].objective-13986.3
top_candidates[6].condition_number1.03743
top_candidates[6].objective_gap9.3782
top_candidates[6].edit_difference_from_selected.120.0.mean_mse5.68139e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.23777e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse5.70371e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.23777e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[82, 0]]
top_candidates[7].mean[0.1254229405053226, 7.890827873606724e-05, 0.050650533732097394, 0.025320471456838006, 0.02550199885656578, -0.012587545282681177, 0.012556980126994471, 0.0070069609705545885]
top_candidates[7].sigma2_raw0.000392355
top_candidates[7].sigma20.000392355
top_candidates[7].objective-13986.2
top_candidates[7].condition_number1.02718
top_candidates[7].objective_gap9.42784
top_candidates[7].edit_difference_from_selected.120.0.mean_mse9.03214e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.23784e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse9.01991e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.23784e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[289, 0]]
top_candidates[8].mean[0.1254375976839825, 0.00012548527284597622, 0.0506251393006091, 0.025320799609978545, 0.025494936362670254, -0.01258854423221635, 0.012586697721510654, 0.006979487659032306]
top_candidates[8].sigma2_raw0.000392371
top_candidates[8].sigma20.000392371
top_candidates[8].objective-13986.2
top_candidates[8].condition_number1.03924
top_candidates[8].objective_gap9.51055
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.3819e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.23796e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.37614e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.23796e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[84, 0]]
top_candidates[9].mean[0.12542039412830905, 8.08037927727788e-05, 0.05063287043331311, 0.02532905007689644, 0.025514723803644262, -0.01260008149254693, 0.012550287550220276, 0.006995832087313472]
top_candidates[9].sigma2_raw0.000394065
top_candidates[9].sigma20.000394065
top_candidates[9].objective-13986
top_candidates[9].condition_number1.03
top_candidates[9].objective_gap9.6824
top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.07334e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.28982e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.06421e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.28982e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13302.7
mean_gain_prepass.rss2.27573
mean_gain_prepass.sigma20.000555597
mean_gain_prepass.direct_rss2.27573
mean_gain_prepass.rss_difference6.83897e-14
mean_gain_prepass.direct_objective-13302.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03677e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13995.7
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[0].objective_without_gain_penalty-13995.7
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branch_diagnostics[0].objective_without_coupling_penalty-13995.7
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branch_diagnostics[0].objective_with_all_penalties-13995.7
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branch_diagnostics[0].diagnostics.direct_rss1.62246
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branch_diagnostics[0].diagnostics.sigma2_floor1.03677e-12
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branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13995.7
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-13995.7
best_by_coupling_flag.0.objective_with_gain_penalty-13995.7
best_by_coupling_flag.0.objective_without_coupling_penalty-13995.7
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13995.7
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13972.2
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13960.6
best_by_coupling_flag.1.objective_with_gain_penalty-13960.6
best_by_coupling_flag.1.objective_without_coupling_penalty-13960.6
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13959.9
best_by_coupling_flag.1.q_index7
best_by_coupling_flag.1.events[[82, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty35.1088
coupling_score_gap_eta1_minus_eta0_with_new_penalty35.8019
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C1 周期AMのみ / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149842
[0].acoustic.peak0.363029
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.503
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.766
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.147181
[1].acoustic.peak0.366906
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz199.705
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.877
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156282
[0].acoustic.peak0.398461
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.345
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.025
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151038
[0].acoustic.peak0.378327
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.221
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00164612
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00164612
[0].mechanism.mean_error.mse.all9.17622e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside9.17622e-07
[0].mechanism.mean_error.mae.all0.000733652
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000733652
[0].mechanism.mean_error.bias.all6.98168e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside6.98168e-06
[0].mechanism.variance_error.mse.all1.14743e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.14743e-12
[0].mechanism.variance_error.mae.all9.85817e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.85817e-07
[0].mechanism.variance_error.bias.all-9.85817e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.85817e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.917
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150526
[1].acoustic.peak0.394359
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.617
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00164612
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00164612
[1].mechanism.mean_error.mse.all9.17622e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside9.17622e-07
[1].mechanism.mean_error.mae.all0.000733652
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000733652
[1].mechanism.mean_error.bias.all6.98168e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside6.98168e-06
[1].mechanism.variance_error.mse.all1.14743e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.14743e-12
[1].mechanism.variance_error.mae.all9.85817e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.85817e-07
[1].mechanism.variance_error.bias.all-9.85817e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.85817e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.919
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151038
[0].acoustic.peak0.378327
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.221
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00164612
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00164612
[0].mechanism.mean_error.mse.all9.17622e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside9.17622e-07
[0].mechanism.mean_error.mae.all0.000733652
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000733652
[0].mechanism.mean_error.bias.all6.98168e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside6.98168e-06
[0].mechanism.variance_error.mse.all1.14743e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.14743e-12
[0].mechanism.variance_error.mae.all9.85817e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.85817e-07
[0].mechanism.variance_error.bias.all-9.85817e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.85817e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.917
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150526
[1].acoustic.peak0.394359
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.617
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00164612
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00164612
[1].mechanism.mean_error.mse.all9.17622e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside9.17622e-07
[1].mechanism.mean_error.mae.all0.000733652
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000733652
[1].mechanism.mean_error.bias.all6.98168e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside6.98168e-06
[1].mechanism.variance_error.mse.all1.14743e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.14743e-12
[1].mechanism.variance_error.mae.all9.85817e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.85817e-07
[1].mechanism.variance_error.bias.all-9.85817e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.85817e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.919
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.140854
[0].acoustic.peak0.330129
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.32
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.351
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.1411
[1].acoustic.peak0.342179
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz217.431
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.798
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150456
[0].acoustic.peak0.354327
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.581
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.038
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150367
[0].acoustic.peak0.408483
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz236.816
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00166642
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00166642
[0].mechanism.mean_error.mse.all9.26886e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside9.26886e-07
[0].mechanism.mean_error.mae.all0.000737403
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000737403
[0].mechanism.mean_error.bias.all2.83672e-08
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside2.83672e-08
[0].mechanism.variance_error.mse.all1.14479e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.14479e-12
[0].mechanism.variance_error.mae.all9.84623e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.84623e-07
[0].mechanism.variance_error.bias.all-9.84623e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.84623e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.971
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150915
[1].acoustic.peak0.392016
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz233.925
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00166642
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00166642
[1].mechanism.mean_error.mse.all9.26886e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside9.26886e-07
[1].mechanism.mean_error.mae.all0.000737403
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000737403
[1].mechanism.mean_error.bias.all2.83672e-08
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside2.83672e-08
[1].mechanism.variance_error.mse.all1.14479e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.14479e-12
[1].mechanism.variance_error.mae.all9.84623e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.84623e-07
[1].mechanism.variance_error.bias.all-9.84623e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.84623e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.053
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150367
[0].acoustic.peak0.408483
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz236.816
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00166642
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00166642
[0].mechanism.mean_error.mse.all9.26886e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside9.26886e-07
[0].mechanism.mean_error.mae.all0.000737403
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000737403
[0].mechanism.mean_error.bias.all2.83672e-08
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside2.83672e-08
[0].mechanism.variance_error.mse.all1.14479e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.14479e-12
[0].mechanism.variance_error.mae.all9.84623e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.84623e-07
[0].mechanism.variance_error.bias.all-9.84623e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.84623e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.971
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150915
[1].acoustic.peak0.392016
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz233.925
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00166642
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00166642
[1].mechanism.mean_error.mse.all9.26886e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside9.26886e-07
[1].mechanism.mean_error.mae.all0.000737403
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000737403
[1].mechanism.mean_error.bias.all2.83672e-08
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside2.83672e-08
[1].mechanism.variance_error.mse.all1.14479e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.14479e-12
[1].mechanism.variance_error.mae.all9.84623e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.84623e-07
[1].mechanism.variance_error.bias.all-9.84623e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.84623e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.053
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1254617990554117, 0.0007968364073365366, 0.050918630774686544, 0.024930581983239764, 0.025112539773408164, -0.012740585481827276, 0.01180600841655697, 0.006197978840319994]
selected_unquantized.sigma2_raw0.000399015
selected_unquantized.sigma20.000399015
selected_unquantized.objective-14196.4
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14196.4
direct_rss1.63436
rss_difference-1.64313e-14
sigma2_floor1.03736e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1653
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.1254617990554117, 0.0007968364073365366, 0.050918630774686544, 0.024930581983239764, 0.025112539773408164, -0.012740585481827276, 0.01180600841655697, 0.006197978840319994]
top_candidates[0].sigma2_raw0.000399015
top_candidates[0].sigma20.000399015
top_candidates[0].objective-14196.4
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[255, 0]]
top_candidates[1].mean[0.12547168313821974, 0.0007967101268715586, 0.05092901064244329, 0.024947113118761285, 0.02509921657991014, -0.012717978345023645, 0.011783824585821528, 0.006197791192035904]
top_candidates[1].sigma2_raw0.000397453
top_candidates[1].sigma20.000397453
top_candidates[1].objective-14186.5
top_candidates[1].condition_number3.17801
top_candidates[1].objective_gap9.85771
top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.35617e-10
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.37132e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.32198e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.43931e-10
top_candidates[2].q_index10
top_candidates[2].events[[250, 0]]
top_candidates[2].mean[0.12547845637184024, 0.0007939462565125459, 0.05093957013979784, 0.02493734536525766, 0.025110315402128873, -0.012730526323872325, 0.011788628986001994, 0.006184021016065171]
top_candidates[2].sigma2_raw0.000396029
top_candidates[2].sigma20.000396029
top_candidates[2].objective-14186.5
top_candidates[2].condition_number3.19221
top_candidates[2].objective_gap9.90513
top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.87894e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.25369e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.87075e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.2673e-09
top_candidates[3].q_index10
top_candidates[3].events[[321, 0]]
top_candidates[3].mean[0.12545893025906094, 0.0007711152221550399, 0.050903455259841884, 0.02492847641662523, 0.025113774154434363, -0.012733503093974344, 0.011813884201349203, 0.0061842606948414374]
top_candidates[3].sigma2_raw0.000396761
top_candidates[3].sigma20.000396761
top_candidates[3].objective-14186
top_candidates[3].condition_number3.15738
top_candidates[3].objective_gap10.4015
top_candidates[3].edit_difference_from_selected.120.0.mean_mse6.00951e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.40278e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse6.05778e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.43818e-10
top_candidates[4].q_index10
top_candidates[4].events[[378, 0]]
top_candidates[4].mean[0.125453460100604, 0.0007850174410250292, 0.050922948545620954, 0.024909811710722863, 0.025131135035636798, -0.012751600482699708, 0.011821351692056543, 0.006201852560813776]
top_candidates[4].sigma2_raw0.000397619
top_candidates[4].sigma20.000397619
top_candidates[4].objective-14185.8
top_candidates[4].condition_number3.18028
top_candidates[4].objective_gap10.5523
top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.91674e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.38009e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.89163e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.39634e-10
top_candidates[5].q_index10
top_candidates[5].events[[258, 0]]
top_candidates[5].mean[0.12545809840131833, 0.000787679045160632, 0.050935603287057006, 0.02492336269423051, 0.02511520979769477, -0.012718178611855825, 0.011785964162696618, 0.006198335174381909]
top_candidates[5].sigma2_raw0.000397326
top_candidates[5].sigma20.000397326
top_candidates[5].objective-14185.8
top_candidates[5].condition_number3.1696
top_candidates[5].objective_gap10.5748
top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.79988e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.3841e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.77039e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.43891e-10
top_candidates[6].q_index10
top_candidates[6].events[[253, 0]]
top_candidates[6].mean[0.12546887040972265, 0.0007955228940080383, 0.05093366362753481, 0.02494118183310409, 0.025105715012800196, -0.012708667071377796, 0.011767101464256961, 0.006196864031594477]
top_candidates[6].sigma2_raw0.000395982
top_candidates[6].sigma20.000395982
top_candidates[6].objective-14185.8
top_candidates[6].condition_number3.18503
top_candidates[6].objective_gap10.5879
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.49556e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.25393e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.48983e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.27323e-09
top_candidates[7].q_index10
top_candidates[7].events[[45, 0]]
top_candidates[7].mean[0.1254551621073032, 0.0008292320399869653, 0.050930884648574586, 0.024951653351626926, 0.025132248145788072, -0.012736153576503362, 0.011825802971640672, 0.006194382993389215]
top_candidates[7].sigma2_raw0.000396549
top_candidates[7].sigma20.000396549
top_candidates[7].objective-14185.7
top_candidates[7].condition_number3.14938
top_candidates[7].objective_gap10.617
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.23213e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.41358e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.23973e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.42265e-10
top_candidates[8].q_index10
top_candidates[8].events[[121, 0]]
top_candidates[8].mean[0.12548684046167063, 0.000778216913100511, 0.050954436781849105, 0.02487706283979032, 0.02511148415095394, -0.012799197894589043, 0.011771671553930515, 0.006178793942328398]
top_candidates[8].sigma2_raw0.000395496
top_candidates[8].sigma20.000395496
top_candidates[8].objective-14185.7
top_candidates[8].condition_number3.17351
top_candidates[8].objective_gap10.6526
top_candidates[8].edit_difference_from_selected.120.0.mean_mse4.96298e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.25673e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.98072e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.26239e-09
top_candidates[9].q_index10
top_candidates[9].events[[426, 0]]
top_candidates[9].mean[0.12543702718664787, 0.0007936921042612787, 0.050890417475772894, 0.02491081091012828, 0.025090940896361897, -0.01276828457208108, 0.011799289547178779, 0.006172075470143499]
top_candidates[9].sigma2_raw0.000397578
top_candidates[9].sigma20.000397578
top_candidates[9].objective-14185.7
top_candidates[9].condition_number3.1795
top_candidates[9].objective_gap10.7129
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.88893e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.38394e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.88175e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.43962e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13294.6
mean_gain_prepass.rss2.28478
mean_gain_prepass.sigma20.000557807
mean_gain_prepass.direct_rss2.28478
mean_gain_prepass.rss_difference-1.33227e-15
mean_gain_prepass.direct_objective-13294.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03736e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14196.4
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14196.4
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14196.4
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.1254617990554117, 0.0007968364073365366, 0.050918630774686544, 0.024930581983239764, 0.025112539773408164, -0.012740585481827276, 0.01180600841655697, 0.006197978840319994]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000399015
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000399015
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14196.4
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14196.4
branch_diagnostics[0].diagnostics.direct_rss1.63436
branch_diagnostics[0].diagnostics.rss_difference-1.64313e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.03736e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
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branch_diagnostics[1].diagnostics.candidate_counts[9].two1653
branch_diagnostics[1].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
branch_diagnostics[1].diagnostics.candidate_counts[10].one1737
branch_diagnostics[1].diagnostics.candidate_counts[10].two1653
branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[1].diagnostics.candidate_counts[11].zero1
branch_diagnostics[1].diagnostics.candidate_counts[11].one1737
branch_diagnostics[1].diagnostics.candidate_counts[11].two1653
branch_diagnostics[1].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[1].diagnostics.candidate_counts[12].zero1
branch_diagnostics[1].diagnostics.candidate_counts[12].one1737
branch_diagnostics[1].diagnostics.candidate_counts[12].two1653
branch_diagnostics[1].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[1].diagnostics.candidate_counts[13].zero1
branch_diagnostics[1].diagnostics.candidate_counts[13].one1737
branch_diagnostics[1].diagnostics.candidate_counts[13].two1653
branch_diagnostics[1].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[1].diagnostics.candidate_counts[14].zero1
branch_diagnostics[1].diagnostics.candidate_counts[14].one1737
branch_diagnostics[1].diagnostics.candidate_counts[14].two1653
branch_diagnostics[1].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[1].diagnostics.candidate_counts[15].zero1
branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1653
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1653
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1653
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1653
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1635
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1653
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[[578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.1036108868428008, 0.0006949727595966659, 0.04192000996761051, 0.020678613339467633, 0.020787165408321925, -0.010559071458360115, 0.00976224847516319, 0.005136653788211794]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000538967
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000538967
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13529.7
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.11535
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[[575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10361321368421894, 0.0007225065079879079, 0.041899919846890454, 0.020677558038899643, 0.02076711617214975, -0.010566075501869478, 0.009751326212388832, 0.005137708981389086]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000539835
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000539835
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13528.4
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.12388
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap1.3461
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.25213e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse5.16561e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.25051e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.12676e-10
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10336235633572523, 0.0007143462149872483, 0.04177223730504369, 0.020638544230380893, 0.02073108279726321, -0.010549423380961055, 0.009725677534486138, 0.005119166190059461]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000525049
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000525049
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13527.9
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.12692
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap1.83697
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.49224e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse3.90557e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.48432e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse3.90359e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10336287847089108, 0.0007482954529628126, 0.04176170150338079, 0.02066451177837845, 0.020719898862492127, -0.010541533253327701, 0.009720554845134824, 0.005122772555119862]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000526022
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000526022
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13525.1
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.13258
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap4.59801
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse6.90528e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse4.11628e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse6.89777e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse4.13702e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10363423121175386, 0.0007421577520524961, 0.041885848600596895, 0.02068409246705391, 0.02076072826873319, -0.010562660485758314, 0.0097595131667239, 0.005139045906282953]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.00054103
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.00054103
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13524.7
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.12902
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap5.02847
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse3.38489e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.86713e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse3.3781e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.85369e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[572, 1]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10339146541662778, 0.000746211739597197, 0.04176413092043584, 0.02067676119306439, 0.020735750242094328, -0.010531193027586776, 0.009751664166405724, 0.0051156561413514615]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000527401
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000527401
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13518.7
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.13146
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap11.0068
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse5.65826e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse4.66857e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.65379e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse4.6963e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[255, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10362350797945413, 0.0006957873196022317, 0.0419310928841293, 0.020699060735699232, 0.020772090140081762, -0.010534906422760273, 0.009739761209155552, 0.005136593440901443]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.00053737
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.00053737
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13517.9
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.13586
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap11.8153
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.45975e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.16725e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.45595e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.17665e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.103673851709849, 0.0007514494927261691, 0.04187709604176919, 0.02068949187647918, 0.020756791002181633, -0.010556918253230813, 0.009774557103806704, 0.00514299086363627]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000542546
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000542546
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13517.7
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.11399
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap12.0105
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.38298e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse3.6362e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.36745e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse3.61882e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[528, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10363262665767609, 0.0006853496581828325, 0.04195487611338434, 0.020677380537398374, 0.02082522832296505, -0.010550114519621368, 0.009787276981640624, 0.005154833065858191]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000537557
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000537557
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13517.4
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.13816
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap12.3655
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.07348e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.1688e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.06799e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.17102e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[378, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.103614270415147, 0.000686660935046874, 0.041933855943629035, 0.020669439713559296, 0.020808512171340287, -0.010559039545940221, 0.009776219266078396, 0.0051466343918782475]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000537561
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000537561
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13517.4
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.13825
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap12.3811
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.97795e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.16884e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.96219e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.17106e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1254617990554117, 0.0007968364073365366, 0.050918630774686544, 0.024930581983239764, 0.025112539773408164, -0.012740585481827276, 0.01180600841655697, 0.006197978840319994]
selected_unquantized.sigma2_raw0.000399015
selected_unquantized.sigma20.000399015
selected_unquantized.objective-14196.4
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14196.4
direct_rss1.63436
rss_difference-1.64313e-14
sigma2_floor1.03736e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1653
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.1254617990554117, 0.0007968364073365366, 0.050918630774686544, 0.024930581983239764, 0.025112539773408164, -0.012740585481827276, 0.01180600841655697, 0.006197978840319994]
top_candidates[0].sigma2_raw0.000399015
top_candidates[0].sigma20.000399015
top_candidates[0].objective-14196.4
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[255, 0]]
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top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.37132e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.32198e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.43931e-10
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top_candidates[2].events[[250, 0]]
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top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.87075e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.2673e-09
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top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.23973e-09
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.98072e-09
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penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13294.6
mean_gain_prepass.rss2.28478
mean_gain_prepass.sigma20.000557807
mean_gain_prepass.direct_rss2.28478
mean_gain_prepass.rss_difference-1.33227e-15
mean_gain_prepass.direct_objective-13294.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03736e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14196.4
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[4].events[[120, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10336199448767379, 0.0007602349387747101, 0.04174774010137607, 0.020589130722532815, 0.020688926792223526, -0.01060537615623183, 0.00967274035795142, 0.005107599947172519]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000522392
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000522392
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13523.3
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.1348
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap11.9573
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.95554e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse5.08534e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.9697e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse2.29459e-09
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[255, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10336211892598444, 0.0007498796426849338, 0.04173538112096235, 0.020634859736914122, 0.020679465010689214, -0.010539826022129653, 0.009680567284555847, 0.005116207137344829]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000522467
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000522467
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13523
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.16845
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap12.2481
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.43023e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.64843e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.42393e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse3.23819e-10
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[45, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10334266854175242, 0.0007778530700722756, 0.04173720844795804, 0.020623952180577842, 0.020716437974326814, -0.010572014979224017, 0.009722442021638827, 0.005111112811291011]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.00052253
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.00052253
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13522.7
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.1348
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap12.4969
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.34315e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse5.08273e-10
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.3487e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse3.83997e-10
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[258, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10335179155039032, 0.0007323379191807981, 0.041740661979576155, 0.020609705431575136, 0.020696740559812413, -0.010551641453348958, 0.00969292592651565, 0.005115690208969208]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000522583
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000522583
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13522.5
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.15731
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap12.7024
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse9.19971e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.84857e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse9.17763e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.53959e-10
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[42, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10336506016521886, 0.000771387470486687, 0.041723575726010084, 0.020593531534343405, 0.020695131052092, -0.010563093315283037, 0.009714377217943127, 0.005114228894457665]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000522612
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000522612
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13522.4
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.09597
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap12.8173
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse8.90392e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.19882e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse8.89255e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.30752e-10
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[321, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10334958539988408, 0.0007326572487371593, 0.041720049710658624, 0.020601418306799988, 0.020699662783460252, -0.010575251334319276, 0.009707877361239141, 0.005103325663484765]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000522632
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000522632
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13522.3
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.14066
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap12.8977
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.46566e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse7.12879e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.46467e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.21392e-10
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14196.4
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14196.4
best_by_coupling_flag.0.objective_with_gain_penalty-14196.4
best_by_coupling_flag.0.objective_without_coupling_penalty-14196.4
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14196.4
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14198.2
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14186.5
best_by_coupling_flag.1.objective_with_gain_penalty-14186.5
best_by_coupling_flag.1.objective_without_coupling_penalty-14186.5
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14185.8
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[120, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty9.82365
coupling_score_gap_eta1_minus_eta0_with_new_penalty10.5168
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C2 局在増分のみ / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151054
[0].acoustic.peak0.346943
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.105
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.038
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150408
[1].acoustic.peak0.372549
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.432
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.987
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15675
[0].acoustic.peak0.393722
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.868
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.887
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152389
[0].acoustic.peak0.381173
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz212.441
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000376552
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00021948
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381659
[0].mechanism.mean_error.mse.all2.33413e-07
[0].mechanism.mean_error.mse.inside2.27761e-07
[0].mechanism.mean_error.mse.outside2.33597e-07
[0].mechanism.mean_error.mae.all0.000401491
[0].mechanism.mean_error.mae.inside0.000393693
[0].mechanism.mean_error.mae.outside0.000401744
[0].mechanism.mean_error.bias.all-3.24453e-06
[0].mechanism.mean_error.bias.inside2.26785e-05
[0].mechanism.mean_error.bias.outside-4.0875e-06
[0].mechanism.variance_error.mse.all7.63901e-11
[0].mechanism.variance_error.mse.inside4.99672e-10
[0].mechanism.variance_error.mse.outside6.26257e-11
[0].mechanism.variance_error.mae.all8.26653e-06
[0].mechanism.variance_error.mae.inside1.91186e-05
[0].mechanism.variance_error.mae.outside7.91364e-06
[0].mechanism.variance_error.bias.all8.26653e-06
[0].mechanism.variance_error.bias.inside1.91186e-05
[0].mechanism.variance_error.bias.outside7.91364e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.65661e-06
[0].mechanism.localized.integrated_variance_error9.03396e-08
[0].mechanism.localized.integrated_variance_relative_error0.0197841
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.17913e-12
[0].mechanism.localized.error.mse.inside2.59703e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.52889e-07
[0].mechanism.localized.error.mae.inside1.12049e-05
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.52889e-07
[0].mechanism.localized.error.bias.inside1.12049e-05
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.906
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151151
[1].acoustic.peak0.405475
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.361
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000376552
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00021948
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381659
[1].mechanism.mean_error.mse.all2.33413e-07
[1].mechanism.mean_error.mse.inside2.27761e-07
[1].mechanism.mean_error.mse.outside2.33597e-07
[1].mechanism.mean_error.mae.all0.000401491
[1].mechanism.mean_error.mae.inside0.000393693
[1].mechanism.mean_error.mae.outside0.000401744
[1].mechanism.mean_error.bias.all-3.24453e-06
[1].mechanism.mean_error.bias.inside2.26785e-05
[1].mechanism.mean_error.bias.outside-4.0875e-06
[1].mechanism.variance_error.mse.all7.63901e-11
[1].mechanism.variance_error.mse.inside4.99672e-10
[1].mechanism.variance_error.mse.outside6.26257e-11
[1].mechanism.variance_error.mae.all8.26653e-06
[1].mechanism.variance_error.mae.inside1.91186e-05
[1].mechanism.variance_error.mae.outside7.91364e-06
[1].mechanism.variance_error.bias.all8.26653e-06
[1].mechanism.variance_error.bias.inside1.91186e-05
[1].mechanism.variance_error.bias.outside7.91364e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.65661e-06
[1].mechanism.localized.integrated_variance_error9.03396e-08
[1].mechanism.localized.integrated_variance_relative_error0.0197841
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.17913e-12
[1].mechanism.localized.error.mse.inside2.59703e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.52889e-07
[1].mechanism.localized.error.mae.inside1.12049e-05
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.52889e-07
[1].mechanism.localized.error.bias.inside1.12049e-05
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.964
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152389
[0].acoustic.peak0.381173
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz212.441
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000376552
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00021948
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381659
[0].mechanism.mean_error.mse.all2.33413e-07
[0].mechanism.mean_error.mse.inside2.27761e-07
[0].mechanism.mean_error.mse.outside2.33597e-07
[0].mechanism.mean_error.mae.all0.000401491
[0].mechanism.mean_error.mae.inside0.000393693
[0].mechanism.mean_error.mae.outside0.000401744
[0].mechanism.mean_error.bias.all-3.24453e-06
[0].mechanism.mean_error.bias.inside2.26785e-05
[0].mechanism.mean_error.bias.outside-4.0875e-06
[0].mechanism.variance_error.mse.all7.63901e-11
[0].mechanism.variance_error.mse.inside4.99672e-10
[0].mechanism.variance_error.mse.outside6.26257e-11
[0].mechanism.variance_error.mae.all8.26653e-06
[0].mechanism.variance_error.mae.inside1.91186e-05
[0].mechanism.variance_error.mae.outside7.91364e-06
[0].mechanism.variance_error.bias.all8.26653e-06
[0].mechanism.variance_error.bias.inside1.91186e-05
[0].mechanism.variance_error.bias.outside7.91364e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.65661e-06
[0].mechanism.localized.integrated_variance_error9.03396e-08
[0].mechanism.localized.integrated_variance_relative_error0.0197841
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.17913e-12
[0].mechanism.localized.error.mse.inside2.59703e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.52889e-07
[0].mechanism.localized.error.mae.inside1.12049e-05
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.52889e-07
[0].mechanism.localized.error.bias.inside1.12049e-05
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.906
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151151
[1].acoustic.peak0.405475
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.361
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000376552
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00021948
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381659
[1].mechanism.mean_error.mse.all2.33413e-07
[1].mechanism.mean_error.mse.inside2.27761e-07
[1].mechanism.mean_error.mse.outside2.33597e-07
[1].mechanism.mean_error.mae.all0.000401491
[1].mechanism.mean_error.mae.inside0.000393693
[1].mechanism.mean_error.mae.outside0.000401744
[1].mechanism.mean_error.bias.all-3.24453e-06
[1].mechanism.mean_error.bias.inside2.26785e-05
[1].mechanism.mean_error.bias.outside-4.0875e-06
[1].mechanism.variance_error.mse.all7.63901e-11
[1].mechanism.variance_error.mse.inside4.99672e-10
[1].mechanism.variance_error.mse.outside6.26257e-11
[1].mechanism.variance_error.mae.all8.26653e-06
[1].mechanism.variance_error.mae.inside1.91186e-05
[1].mechanism.variance_error.mae.outside7.91364e-06
[1].mechanism.variance_error.bias.all8.26653e-06
[1].mechanism.variance_error.bias.inside1.91186e-05
[1].mechanism.variance_error.bias.outside7.91364e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.65661e-06
[1].mechanism.localized.integrated_variance_error9.03396e-08
[1].mechanism.localized.integrated_variance_relative_error0.0197841
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.17913e-12
[1].mechanism.localized.error.mse.inside2.59703e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.52889e-07
[1].mechanism.localized.error.mae.inside1.12049e-05
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.52889e-07
[1].mechanism.localized.error.bias.inside1.12049e-05
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.964
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.143797
[0].acoustic.peak0.331131
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz230.666
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.628
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140156
[1].acoustic.peak0.339685
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.65
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames47
[1].output_f0.positive_median_hz139.934
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15084
[0].acoustic.peak0.35674
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz227.237
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.881
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150539
[0].acoustic.peak0.375203
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz239.551
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000376897
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000243534
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381234
[0].mechanism.mean_error.mse.all2.33653e-07
[0].mechanism.mean_error.mse.inside2.46047e-07
[0].mechanism.mean_error.mse.outside2.3325e-07
[0].mechanism.mean_error.mae.all0.000401687
[0].mechanism.mean_error.mae.inside0.000419149
[0].mechanism.mean_error.mae.outside0.00040112
[0].mechanism.mean_error.bias.all-2.33226e-06
[0].mechanism.mean_error.bias.inside-6.24739e-05
[0].mechanism.mean_error.bias.outside-3.76555e-07
[0].mechanism.variance_error.mse.all7.63901e-11
[0].mechanism.variance_error.mse.inside4.99672e-10
[0].mechanism.variance_error.mse.outside6.26257e-11
[0].mechanism.variance_error.mae.all8.26653e-06
[0].mechanism.variance_error.mae.inside1.91186e-05
[0].mechanism.variance_error.mae.outside7.91364e-06
[0].mechanism.variance_error.bias.all8.26653e-06
[0].mechanism.variance_error.bias.inside1.91186e-05
[0].mechanism.variance_error.bias.outside7.91364e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.65661e-06
[0].mechanism.localized.integrated_variance_error9.03396e-08
[0].mechanism.localized.integrated_variance_relative_error0.0197841
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.17913e-12
[0].mechanism.localized.error.mse.inside2.59703e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.52889e-07
[0].mechanism.localized.error.mae.inside1.12049e-05
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.52889e-07
[0].mechanism.localized.error.bias.inside1.12049e-05
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.996
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152247
[1].acoustic.peak0.373458
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.932
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000376897
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000243534
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381234
[1].mechanism.mean_error.mse.all2.33653e-07
[1].mechanism.mean_error.mse.inside2.46047e-07
[1].mechanism.mean_error.mse.outside2.3325e-07
[1].mechanism.mean_error.mae.all0.000401687
[1].mechanism.mean_error.mae.inside0.000419149
[1].mechanism.mean_error.mae.outside0.00040112
[1].mechanism.mean_error.bias.all-2.33226e-06
[1].mechanism.mean_error.bias.inside-6.24739e-05
[1].mechanism.mean_error.bias.outside-3.76555e-07
[1].mechanism.variance_error.mse.all7.63901e-11
[1].mechanism.variance_error.mse.inside4.99672e-10
[1].mechanism.variance_error.mse.outside6.26257e-11
[1].mechanism.variance_error.mae.all8.26653e-06
[1].mechanism.variance_error.mae.inside1.91186e-05
[1].mechanism.variance_error.mae.outside7.91364e-06
[1].mechanism.variance_error.bias.all8.26653e-06
[1].mechanism.variance_error.bias.inside1.91186e-05
[1].mechanism.variance_error.bias.outside7.91364e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.65661e-06
[1].mechanism.localized.integrated_variance_error9.03396e-08
[1].mechanism.localized.integrated_variance_relative_error0.0197841
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.17913e-12
[1].mechanism.localized.error.mse.inside2.59703e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.52889e-07
[1].mechanism.localized.error.mae.inside1.12049e-05
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.52889e-07
[1].mechanism.localized.error.bias.inside1.12049e-05
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.977
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150539
[0].acoustic.peak0.375203
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz239.551
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000376897
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000243534
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381234
[0].mechanism.mean_error.mse.all2.33653e-07
[0].mechanism.mean_error.mse.inside2.46047e-07
[0].mechanism.mean_error.mse.outside2.3325e-07
[0].mechanism.mean_error.mae.all0.000401687
[0].mechanism.mean_error.mae.inside0.000419149
[0].mechanism.mean_error.mae.outside0.00040112
[0].mechanism.mean_error.bias.all-2.33226e-06
[0].mechanism.mean_error.bias.inside-6.24739e-05
[0].mechanism.mean_error.bias.outside-3.76555e-07
[0].mechanism.variance_error.mse.all7.63901e-11
[0].mechanism.variance_error.mse.inside4.99672e-10
[0].mechanism.variance_error.mse.outside6.26257e-11
[0].mechanism.variance_error.mae.all8.26653e-06
[0].mechanism.variance_error.mae.inside1.91186e-05
[0].mechanism.variance_error.mae.outside7.91364e-06
[0].mechanism.variance_error.bias.all8.26653e-06
[0].mechanism.variance_error.bias.inside1.91186e-05
[0].mechanism.variance_error.bias.outside7.91364e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.65661e-06
[0].mechanism.localized.integrated_variance_error9.03396e-08
[0].mechanism.localized.integrated_variance_relative_error0.0197841
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.17913e-12
[0].mechanism.localized.error.mse.inside2.59703e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.52889e-07
[0].mechanism.localized.error.mae.inside1.12049e-05
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.52889e-07
[0].mechanism.localized.error.bias.inside1.12049e-05
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.996
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152247
[1].acoustic.peak0.373458
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.932
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000376897
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000243534
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000381234
[1].mechanism.mean_error.mse.all2.33653e-07
[1].mechanism.mean_error.mse.inside2.46047e-07
[1].mechanism.mean_error.mse.outside2.3325e-07
[1].mechanism.mean_error.mae.all0.000401687
[1].mechanism.mean_error.mae.inside0.000419149
[1].mechanism.mean_error.mae.outside0.00040112
[1].mechanism.mean_error.bias.all-2.33226e-06
[1].mechanism.mean_error.bias.inside-6.24739e-05
[1].mechanism.mean_error.bias.outside-3.76555e-07
[1].mechanism.variance_error.mse.all7.63901e-11
[1].mechanism.variance_error.mse.inside4.99672e-10
[1].mechanism.variance_error.mse.outside6.26257e-11
[1].mechanism.variance_error.mae.all8.26653e-06
[1].mechanism.variance_error.mae.inside1.91186e-05
[1].mechanism.variance_error.mae.outside7.91364e-06
[1].mechanism.variance_error.bias.all8.26653e-06
[1].mechanism.variance_error.bias.inside1.91186e-05
[1].mechanism.variance_error.bias.outside7.91364e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.65661e-06
[1].mechanism.localized.integrated_variance_error9.03396e-08
[1].mechanism.localized.integrated_variance_relative_error0.0197841
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.17913e-12
[1].mechanism.localized.error.mse.inside2.59703e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.52889e-07
[1].mechanism.localized.error.mae.inside1.12049e-05
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.52889e-07
[1].mechanism.localized.error.bias.inside1.12049e-05
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.977
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12612348754089264, 4.705623916757467e-05, 0.05011499447139892, 0.024748073009072807, 0.025018380354639953, -0.012674819471773234, 0.012218409082499904, 0.006318035900416563]
selected_unquantized.sigma2_raw0.000407914
selected_unquantized.sigma20.000407914
selected_unquantized.objective-13879.2
selected_unquantized.condition_number1.05521
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13879.2
direct_rss1.67081
rss_difference7.99361e-15
sigma2_floor1.04265e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].q_index0
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12612348754089264, 4.705623916757467e-05, 0.05011499447139892, 0.024748073009072807, 0.025018380354639953, -0.012674819471773234, 0.012218409082499904, 0.006318035900416563]
top_candidates[0].sigma2_raw0.000407914
top_candidates[0].sigma20.000407914
top_candidates[0].objective-13879.2
top_candidates[0].condition_number1.05521
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[195, 2]]
top_candidates[1].mean[0.12606237061817283, -6.603312338942197e-08, 0.050100176846241656, 0.02485575500979016, 0.025062393500764762, -0.012691472868106905, 0.01214193687331458, 0.0063249019441553155]
top_candidates[1].sigma2_raw0.000409552
top_candidates[1].sigma20.000409552
top_candidates[1].objective-13871.3
top_candidates[1].condition_number1.05694
top_candidates[1].objective_gap7.92557
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.29983e-08
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.86317e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.2962e-08
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.86317e-08
top_candidates[2].q_index0
top_candidates[2].events[[193, 1], [346, 0]]
top_candidates[2].mean[0.12611811769095926, 1.9064090103323652e-05, 0.05009167827842322, 0.02471741067620077, 0.025001018955462657, -0.012689938016412449, 0.012205646423763664, 0.006321986826009778]
top_candidates[2].sigma2_raw0.00040382
top_candidates[2].sigma20.00040382
top_candidates[2].objective-13870.9
top_candidates[2].condition_number1.06959
top_candidates[2].objective_gap8.266
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.48678e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.31468e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.49346e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.31468e-09
top_candidates[3].q_index0
top_candidates[3].events[[193, 1], [348, 0]]
top_candidates[3].mean[0.12613072363933045, 3.269172149563308e-05, 0.05010787599762213, 0.02472780061426175, 0.024996249283240377, -0.012687043670382992, 0.012191729546719935, 0.006325252505769741]
top_candidates[3].sigma2_raw0.000405558
top_candidates[3].sigma20.000405558
top_candidates[3].objective-13870.8
top_candidates[3].condition_number1.06468
top_candidates[3].objective_gap8.40846
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.04616e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.67408e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.05038e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.67408e-10
top_candidates[4].q_index0
top_candidates[4].events[[193, 1], [343, 0]]
top_candidates[4].mean[0.12611123456533915, 1.7653856758531203e-07, 0.05008824525296262, 0.024751096290459126, 0.025023966928163742, -0.012685585887628135, 0.012189512975253168, 0.006307012249499648]
top_candidates[4].sigma2_raw0.000403999
top_candidates[4].sigma20.000403999
top_candidates[4].objective-13870
top_candidates[4].condition_number1.07052
top_candidates[4].objective_gap9.17782
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.09298e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.31571e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.08986e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.31571e-09
top_candidates[5].q_index0
top_candidates[5].events[[193, 1], [218, 0]]
top_candidates[5].mean[0.12615134438843303, 9.590433588157973e-05, 0.05015048002879178, 0.024783070952768296, 0.025024274716228805, -0.012703720980203566, 0.0121939513416536, 0.006284367401592224]
top_candidates[5].sigma2_raw0.000400627
top_candidates[5].sigma20.000400627
top_candidates[5].objective-13869.9
top_candidates[5].condition_number1.06259
top_candidates[5].objective_gap9.31477
top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.07498e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.55485e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.12834e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.55485e-09
top_candidates[6].q_index0
top_candidates[6].events[[193, 1], [349, 0]]
top_candidates[6].mean[0.12610475789177522, 3.736632522535511e-05, 0.05009124344148434, 0.02470950105347692, 0.025013559246326523, -0.012702557345766308, 0.012212315019785869, 0.0063269939156962015]
top_candidates[6].sigma2_raw0.000404033
top_candidates[6].sigma20.000404033
top_candidates[6].objective-13869.8
top_candidates[6].condition_number1.06226
top_candidates[6].objective_gap9.34577
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.70444e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.31591e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.7021e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.31591e-09
top_candidates[7].q_index0
top_candidates[7].events[[190, 1]]
top_candidates[7].mean[0.12617773344042635, 6.34364243399816e-05, 0.050050695778801314, 0.024759077428472005, 0.025029998105127294, -0.012643550045512595, 0.0121746946961513, 0.006345897459818748]
top_candidates[7].sigma2_raw0.000409789
top_candidates[7].sigma20.000409789
top_candidates[7].objective-13869.8
top_candidates[7].condition_number1.05102
top_candidates[7].objective_gap9.39603
top_candidates[7].edit_difference_from_selected.120.0.mean_mse5.65859e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse8.50745e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse5.64594e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse8.50745e-09
top_candidates[8].q_index0
top_candidates[8].events[[193, 1], [381, 0]]
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.14264e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.3161e-09
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core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
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mean_gain_prepass.rss2.45217
mean_gain_prepass.sigma20.000598674
mean_gain_prepass.direct_rss2.45217
mean_gain_prepass.rss_difference7.10543e-15
mean_gain_prepass.direct_objective-13149.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04265e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13879.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.35046e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.51358e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.35086e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12612348754089264, 4.705623916757467e-05, 0.05011499447139892, 0.024748073009072807, 0.025018380354639953, -0.012674819471773234, 0.012218409082499904, 0.006318035900416563]
selected_unquantized.sigma2_raw0.000407914
selected_unquantized.sigma20.000407914
selected_unquantized.objective-13879.2
selected_unquantized.condition_number1.05521
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13879.2
direct_rss1.67081
rss_difference7.99361e-15
sigma2_floor1.04265e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12612348754089264, 4.705623916757467e-05, 0.05011499447139892, 0.024748073009072807, 0.025018380354639953, -0.012674819471773234, 0.012218409082499904, 0.006318035900416563]
top_candidates[0].sigma2_raw0.000407914
top_candidates[0].sigma20.000407914
top_candidates[0].objective-13879.2
top_candidates[0].condition_number1.05521
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[195, 2]]
top_candidates[1].mean[0.12606237061817283, -6.603312338942197e-08, 0.050100176846241656, 0.02485575500979016, 0.025062393500764762, -0.012691472868106905, 0.01214193687331458, 0.0063249019441553155]
top_candidates[1].sigma2_raw0.000409552
top_candidates[1].sigma20.000409552
top_candidates[1].objective-13871.3
top_candidates[1].condition_number1.05694
top_candidates[1].objective_gap7.92557
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.29983e-08
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.86317e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.2962e-08
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.86317e-08
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[193, 1], [346, 0]]
top_candidates[2].mean[0.12611811769095926, 1.9064090103323652e-05, 0.05009167827842322, 0.02471741067620077, 0.025001018955462657, -0.012689938016412449, 0.012205646423763664, 0.006321986826009778]
top_candidates[2].sigma2_raw0.00040382
top_candidates[2].sigma20.00040382
top_candidates[2].objective-13870.9
top_candidates[2].condition_number1.06959
top_candidates[2].objective_gap8.266
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.48678e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.31468e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.49346e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.31468e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[193, 1], [348, 0]]
top_candidates[3].mean[0.12613072363933045, 3.269172149563308e-05, 0.05010787599762213, 0.02472780061426175, 0.024996249283240377, -0.012687043670382992, 0.012191729546719935, 0.006325252505769741]
top_candidates[3].sigma2_raw0.000405558
top_candidates[3].sigma20.000405558
top_candidates[3].objective-13870.8
top_candidates[3].condition_number1.06468
top_candidates[3].objective_gap8.40846
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.04616e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.67408e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.05038e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.67408e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[193, 1], [343, 0]]
top_candidates[4].mean[0.12611123456533915, 1.7653856758531203e-07, 0.05008824525296262, 0.024751096290459126, 0.025023966928163742, -0.012685585887628135, 0.012189512975253168, 0.006307012249499648]
top_candidates[4].sigma2_raw0.000403999
top_candidates[4].sigma20.000403999
top_candidates[4].objective-13870
top_candidates[4].condition_number1.07052
top_candidates[4].objective_gap9.17782
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.09298e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.31571e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.08986e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.31571e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[193, 1], [218, 0]]
top_candidates[5].mean[0.12615134438843303, 9.590433588157973e-05, 0.05015048002879178, 0.024783070952768296, 0.025024274716228805, -0.012703720980203566, 0.0121939513416536, 0.006284367401592224]
top_candidates[5].sigma2_raw0.000400627
top_candidates[5].sigma20.000400627
top_candidates[5].objective-13869.9
top_candidates[5].condition_number1.06259
top_candidates[5].objective_gap9.31477
top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.07498e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.55485e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.12834e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.55485e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[193, 1], [349, 0]]
top_candidates[6].mean[0.12610475789177522, 3.736632522535511e-05, 0.05009124344148434, 0.02470950105347692, 0.025013559246326523, -0.012702557345766308, 0.012212315019785869, 0.0063269939156962015]
top_candidates[6].sigma2_raw0.000404033
top_candidates[6].sigma20.000404033
top_candidates[6].objective-13869.8
top_candidates[6].condition_number1.06226
top_candidates[6].objective_gap9.34577
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.70444e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.31591e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.7021e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.31591e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[190, 1]]
top_candidates[7].mean[0.12617773344042635, 6.34364243399816e-05, 0.050050695778801314, 0.024759077428472005, 0.025029998105127294, -0.012643550045512595, 0.0121746946961513, 0.006345897459818748]
top_candidates[7].sigma2_raw0.000409789
top_candidates[7].sigma20.000409789
top_candidates[7].objective-13869.8
top_candidates[7].condition_number1.05102
top_candidates[7].objective_gap9.39603
top_candidates[7].edit_difference_from_selected.120.0.mean_mse5.65859e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse8.50745e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse5.64594e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse8.50745e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[193, 1], [381, 0]]
top_candidates[8].mean[0.12614673285454175, 5.341159270209667e-05, 0.05011755001406048, 0.024788624973654343, 0.02497042241341541, -0.012662210264121471, 0.012197443566423036, 0.006272461750480952]
top_candidates[8].sigma2_raw0.000405764
top_candidates[8].sigma20.000405764
top_candidates[8].objective-13869.7
top_candidates[8].condition_number1.05156
top_candidates[8].objective_gap9.45247
top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.63268e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.67886e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.61801e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.67886e-10
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[193, 1], [226, 0]]
top_candidates[9].mean[0.1261525849679493, 6.259745031236954e-05, 0.05011684123426725, 0.024768787765190092, 0.025002197830571657, -0.012673159130918163, 0.01220071269036604, 0.006304687062232462]
top_candidates[9].sigma2_raw0.000404063
top_candidates[9].sigma20.000404063
top_candidates[9].objective-13869.7
top_candidates[9].condition_number1.05625
top_candidates[9].objective_gap9.5013
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.14499e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.3161e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.14264e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.3161e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13149.8
mean_gain_prepass.rss2.45217
mean_gain_prepass.sigma20.000598674
mean_gain_prepass.direct_rss2.45217
mean_gain_prepass.rss_difference7.10543e-15
mean_gain_prepass.direct_objective-13149.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04265e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13879.2
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-13890.8
branch_diagnostics[0].event_penalty_nats11.6188
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-13879.2
branch_diagnostics[0].objective_with_gain_penalty-13879.2
branch_diagnostics[0].objective_without_coupling_penalty-13879.2
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-13879.2
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index0
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 1]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12612348754089264, 4.705623916757467e-05, 0.05011499447139892, 0.024748073009072807, 0.025018380354639953, -0.012674819471773234, 0.012218409082499904, 0.006318035900416563]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000407914
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000407914
branch_diagnostics[0].diagnostics.selected_unquantized.objective-13879.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number1.05521
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-13879.2
branch_diagnostics[0].diagnostics.direct_rss1.67081
branch_diagnostics[0].diagnostics.rss_difference7.99361e-15
branch_diagnostics[0].diagnostics.sigma2_floor1.04265e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1590
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1590
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1590
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1590
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1590
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1590
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1590
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
branch_diagnostics[0].diagnostics.candidate_counts[11].two1590
branch_diagnostics[0].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
branch_diagnostics[0].diagnostics.candidate_counts[12].one1737
branch_diagnostics[0].diagnostics.candidate_counts[12].two1590
branch_diagnostics[0].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
branch_diagnostics[0].diagnostics.candidate_counts[13].one1737
branch_diagnostics[0].diagnostics.candidate_counts[13].two1590
branch_diagnostics[0].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[0].diagnostics.candidate_counts[14].zero1
branch_diagnostics[0].diagnostics.candidate_counts[14].one1737
branch_diagnostics[0].diagnostics.candidate_counts[14].two1590
branch_diagnostics[0].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[0].diagnostics.candidate_counts[15].zero1
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branch_diagnostics[3].diagnostics.candidate_counts[20].two1701
branch_diagnostics[3].diagnostics.candidate_counts[21].q_index22
branch_diagnostics[3].diagnostics.candidate_counts[21].zero0
branch_diagnostics[3].diagnostics.candidate_counts[21].one1737
branch_diagnostics[3].diagnostics.candidate_counts[21].two1692
branch_diagnostics[3].diagnostics.candidate_counts[22].q_index23
branch_diagnostics[3].diagnostics.candidate_counts[22].zero0
branch_diagnostics[3].diagnostics.candidate_counts[22].one1737
branch_diagnostics[3].diagnostics.candidate_counts[22].two1626
branch_diagnostics[3].diagnostics.candidate_counts[23].q_index24
branch_diagnostics[3].diagnostics.candidate_counts[23].zero0
branch_diagnostics[3].diagnostics.candidate_counts[23].one1737
branch_diagnostics[3].diagnostics.candidate_counts[23].two1626
branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index2
branch_diagnostics[3].diagnostics.top_candidates[0].events[[193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.10449151598779446, 5.028624857765603e-05, 0.0416145341721993, 0.020645460454847678, 0.02070492076549224, -0.010396956683003025, 0.010221355389956324, 0.005376263348860147]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000580327
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000580327
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13204.6
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number1.66081
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index2
branch_diagnostics[3].diagnostics.top_candidates[1].events[[190, 1]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.10454218105087916, 7.192840698028173e-05, 0.04152904731794698, 0.02065128296321657, 0.020713387692710132, -0.010374211533082598, 0.010171764645177531, 0.005399762490488801]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000581228
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000581228
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13201.4
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number1.64052
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap3.17667
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.00561e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.25125e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.00324e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.36129e-08
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index2
branch_diagnostics[3].diagnostics.top_candidates[2].events[[195, 2]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.10440402010319652, -4.461611468585508e-06, 0.04158449113289307, 0.020734583176774922, 0.020730696304215812, -0.010428083410350694, 0.010135627673681655, 0.005371283264111026]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.00058215
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.00058215
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13198.4
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.66784
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap6.1397
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.05773e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.22422e-07
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.04985e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.09464e-07
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index2
branch_diagnostics[3].diagnostics.top_candidates[3].events[[195, 1]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10439324217677513, 2.588401993563986e-05, 0.04157678115381882, 0.020728339076018166, 0.02068673607725455, -0.010420997557980647, 0.01011286493347518, 0.005420302860581358]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000589122
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000589122
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13196.1
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.6685
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap8.44955
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.38144e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse9.75972e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.37337e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse9.61084e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index2
branch_diagnostics[3].diagnostics.top_candidates[4].events[[0, 0], [193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10438933966069806, 6.422188202700771e-05, 0.04151711779329124, 0.02064899343994165, 0.02063117294844208, -0.01039220979043511, 0.010172986487338056, 0.005376914567145943]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000577037
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000577037
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13195.9
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.66982
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap8.62785
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.99053e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.83549e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.98722e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse7.06255e-10
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index2
branch_diagnostics[3].diagnostics.top_candidates[5].events[[193, 1], [219, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10449271335138903, 8.726266606730825e-05, 0.04164598202422953, 0.020651638139543894, 0.020714521242005783, -0.010422332714628592, 0.010206606853782352, 0.005365208753720077]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000577693
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000577693
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13193.6
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.65131
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap10.9563
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.45588e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.25917e-10
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.50263e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.27363e-09
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index2
branch_diagnostics[3].diagnostics.top_candidates[6].events[[3, 0], [193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10441976870035231, 2.759868196221764e-05, 0.041558578566373884, 0.020594559345689743, 0.020677256415522986, -0.010444125668297034, 0.010209219762186224, 0.0053464448130383]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000577758
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000577758
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13193.4
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.67263
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap11.1864
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.10318e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.21462e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.10009e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse9.55544e-10
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index2
branch_diagnostics[3].diagnostics.top_candidates[7].events[[192, 2]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10445960608522034, 7.853812967816233e-05, 0.041524198816570115, 0.020651269395438224, 0.02064413021474445, -0.010318615016595197, 0.010199737306807292, 0.005381099895769713]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000583615
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000583615
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13193.3
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.63158
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap11.2845
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.44607e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.28051e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.44928e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.31938e-07
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index2
branch_diagnostics[3].diagnostics.top_candidates[8].events[[193, 1], [567, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10449180151689355, 5.649997529637858e-05, 0.04162121807907194, 0.020641356538390276, 0.02069384915085925, -0.0103984664296039, 0.010232971292063088, 0.0053937112191226105]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000577845
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000577845
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13193.1
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.63893
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap11.4933
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse4.79473e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse7.03441e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.78541e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.20185e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index2
branch_diagnostics[3].diagnostics.top_candidates[9].events[[193, 1], [414, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10452693450083558, 6.443574241115125e-05, 0.041588257828764116, 0.02062739186183023, 0.020727306072939957, -0.010375722575312786, 0.010194371993961197, 0.005351227567849888]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000577895
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000577895
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13192.9
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.64519
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap11.6706
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.45327e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse7.89449e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.4372e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.75375e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13890.8
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-13879.2
best_by_coupling_flag.0.objective_with_gain_penalty-13879.2
best_by_coupling_flag.0.objective_without_coupling_penalty-13879.2
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13879.2
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13849.3
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13837.7
best_by_coupling_flag.1.objective_with_gain_penalty-13837.7
best_by_coupling_flag.1.objective_without_coupling_penalty-13837.7
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13837
best_by_coupling_flag.1.q_index2
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty41.501
coupling_score_gap_eta1_minus_eta0_with_new_penalty42.1942
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C3 加算混合 / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150505
[0].acoustic.peak0.363573
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz204.921
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames49
[0].output_f0.positive_median_hz120.009
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.14753
[1].acoustic.peak0.372363
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz205.197
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames51
[1].output_f0.positive_median_hz120.085
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156606
[0].acoustic.peak0.408645
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz206.882
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.983
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151917
[0].acoustic.peak0.37606
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.1
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00157295
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000510608
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00160749
[0].mechanism.mean_error.mse.all9.0922e-07
[0].mechanism.mean_error.mse.inside9.44443e-07
[0].mechanism.mean_error.mse.outside9.08075e-07
[0].mechanism.mean_error.mae.all0.000774351
[0].mechanism.mean_error.mae.inside0.000793966
[0].mechanism.mean_error.mae.outside0.000773713
[0].mechanism.mean_error.bias.all6.71586e-06
[0].mechanism.mean_error.bias.inside8.93345e-06
[0].mechanism.mean_error.bias.outside6.64374e-06
[0].mechanism.variance_error.mse.all6.482e-11
[0].mechanism.variance_error.mse.inside3.57819e-10
[0].mechanism.variance_error.mse.outside5.52922e-11
[0].mechanism.variance_error.mae.all7.15087e-06
[0].mechanism.variance_error.mae.inside1.66267e-05
[0].mechanism.variance_error.mae.outside6.84273e-06
[0].mechanism.variance_error.bias.all7.15087e-06
[0].mechanism.variance_error.bias.inside1.66267e-05
[0].mechanism.variance_error.bias.outside6.84273e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64438e-06
[0].mechanism.localized.integrated_variance_error7.81052e-08
[0].mechanism.localized.integrated_variance_relative_error0.0171048
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all6.11379e-12
[0].mechanism.localized.error.mse.inside1.94125e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.05098e-07
[0].mechanism.localized.error.mae.inside9.68747e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.05098e-07
[0].mechanism.localized.error.bias.inside9.68747e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.945
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.15182
[1].acoustic.peak0.408493
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz218.563
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00157295
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000510608
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00160749
[1].mechanism.mean_error.mse.all9.0922e-07
[1].mechanism.mean_error.mse.inside9.44443e-07
[1].mechanism.mean_error.mse.outside9.08075e-07
[1].mechanism.mean_error.mae.all0.000774351
[1].mechanism.mean_error.mae.inside0.000793966
[1].mechanism.mean_error.mae.outside0.000773713
[1].mechanism.mean_error.bias.all6.71586e-06
[1].mechanism.mean_error.bias.inside8.93345e-06
[1].mechanism.mean_error.bias.outside6.64374e-06
[1].mechanism.variance_error.mse.all6.482e-11
[1].mechanism.variance_error.mse.inside3.57819e-10
[1].mechanism.variance_error.mse.outside5.52922e-11
[1].mechanism.variance_error.mae.all7.15087e-06
[1].mechanism.variance_error.mae.inside1.66267e-05
[1].mechanism.variance_error.mae.outside6.84273e-06
[1].mechanism.variance_error.bias.all7.15087e-06
[1].mechanism.variance_error.bias.inside1.66267e-05
[1].mechanism.variance_error.bias.outside6.84273e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64438e-06
[1].mechanism.localized.integrated_variance_error7.81052e-08
[1].mechanism.localized.integrated_variance_relative_error0.0171048
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all6.11379e-12
[1].mechanism.localized.error.mse.inside1.94125e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.05098e-07
[1].mechanism.localized.error.mae.inside9.68747e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.05098e-07
[1].mechanism.localized.error.bias.inside9.68747e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.937
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151917
[0].acoustic.peak0.37606
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.1
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00157295
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000510608
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00160749
[0].mechanism.mean_error.mse.all9.0922e-07
[0].mechanism.mean_error.mse.inside9.44443e-07
[0].mechanism.mean_error.mse.outside9.08075e-07
[0].mechanism.mean_error.mae.all0.000774351
[0].mechanism.mean_error.mae.inside0.000793966
[0].mechanism.mean_error.mae.outside0.000773713
[0].mechanism.mean_error.bias.all6.71586e-06
[0].mechanism.mean_error.bias.inside8.93345e-06
[0].mechanism.mean_error.bias.outside6.64374e-06
[0].mechanism.variance_error.mse.all6.482e-11
[0].mechanism.variance_error.mse.inside3.57819e-10
[0].mechanism.variance_error.mse.outside5.52922e-11
[0].mechanism.variance_error.mae.all7.15087e-06
[0].mechanism.variance_error.mae.inside1.66267e-05
[0].mechanism.variance_error.mae.outside6.84273e-06
[0].mechanism.variance_error.bias.all7.15087e-06
[0].mechanism.variance_error.bias.inside1.66267e-05
[0].mechanism.variance_error.bias.outside6.84273e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64438e-06
[0].mechanism.localized.integrated_variance_error7.81052e-08
[0].mechanism.localized.integrated_variance_relative_error0.0171048
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all6.11379e-12
[0].mechanism.localized.error.mse.inside1.94125e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.05098e-07
[0].mechanism.localized.error.mae.inside9.68747e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.05098e-07
[0].mechanism.localized.error.bias.inside9.68747e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.945
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.15182
[1].acoustic.peak0.408493
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz218.563
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00157295
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000510608
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00160749
[1].mechanism.mean_error.mse.all9.0922e-07
[1].mechanism.mean_error.mse.inside9.44443e-07
[1].mechanism.mean_error.mse.outside9.08075e-07
[1].mechanism.mean_error.mae.all0.000774351
[1].mechanism.mean_error.mae.inside0.000793966
[1].mechanism.mean_error.mae.outside0.000773713
[1].mechanism.mean_error.bias.all6.71586e-06
[1].mechanism.mean_error.bias.inside8.93345e-06
[1].mechanism.mean_error.bias.outside6.64374e-06
[1].mechanism.variance_error.mse.all6.482e-11
[1].mechanism.variance_error.mse.inside3.57819e-10
[1].mechanism.variance_error.mse.outside5.52922e-11
[1].mechanism.variance_error.mae.all7.15087e-06
[1].mechanism.variance_error.mae.inside1.66267e-05
[1].mechanism.variance_error.mae.outside6.84273e-06
[1].mechanism.variance_error.bias.all7.15087e-06
[1].mechanism.variance_error.bias.inside1.66267e-05
[1].mechanism.variance_error.bias.outside6.84273e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64438e-06
[1].mechanism.localized.integrated_variance_error7.81052e-08
[1].mechanism.localized.integrated_variance_relative_error0.0171048
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all6.11379e-12
[1].mechanism.localized.error.mse.inside1.94125e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.05098e-07
[1].mechanism.localized.error.mae.inside9.68747e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.05098e-07
[1].mechanism.localized.error.bias.inside9.68747e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.937
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.142625
[0].acoustic.peak0.342576
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.682
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames50
[0].output_f0.positive_median_hz139.989
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140978
[1].acoustic.peak0.32836
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz225.031
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames48
[1].output_f0.positive_median_hz139.958
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150829
[0].acoustic.peak0.363998
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz223.688
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.04
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15114
[0].acoustic.peak0.386206
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz240.031
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00159777
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000441197
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00163538
[0].mechanism.mean_error.mse.all9.18923e-07
[0].mechanism.mean_error.mse.inside8.20701e-07
[0].mechanism.mean_error.mse.outside9.22117e-07
[0].mechanism.mean_error.mae.all0.000778113
[0].mechanism.mean_error.mae.inside0.000714511
[0].mechanism.mean_error.mae.outside0.000780181
[0].mechanism.mean_error.bias.all-2.78343e-07
[0].mechanism.mean_error.bias.inside-4.07462e-06
[0].mechanism.mean_error.bias.outside-1.54894e-07
[0].mechanism.variance_error.mse.all6.44876e-11
[0].mechanism.variance_error.mse.inside3.45573e-10
[0].mechanism.variance_error.mse.outside5.53472e-11
[0].mechanism.variance_error.mae.all7.14259e-06
[0].mechanism.variance_error.mae.inside1.62072e-05
[0].mechanism.variance_error.mae.outside6.84782e-06
[0].mechanism.variance_error.bias.all7.14259e-06
[0].mechanism.variance_error.bias.inside1.62072e-05
[0].mechanism.variance_error.bias.outside6.84782e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64438e-06
[0].mechanism.localized.integrated_variance_error7.81052e-08
[0].mechanism.localized.integrated_variance_relative_error0.0171048
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all6.11379e-12
[0].mechanism.localized.error.mse.inside1.94125e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.05098e-07
[0].mechanism.localized.error.mae.inside9.68747e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.05098e-07
[0].mechanism.localized.error.bias.inside9.68747e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.986
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151715
[1].acoustic.peak0.393276
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz239.432
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00159777
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000441197
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00163538
[1].mechanism.mean_error.mse.all9.18923e-07
[1].mechanism.mean_error.mse.inside8.20701e-07
[1].mechanism.mean_error.mse.outside9.22117e-07
[1].mechanism.mean_error.mae.all0.000778113
[1].mechanism.mean_error.mae.inside0.000714511
[1].mechanism.mean_error.mae.outside0.000780181
[1].mechanism.mean_error.bias.all-2.78343e-07
[1].mechanism.mean_error.bias.inside-4.07462e-06
[1].mechanism.mean_error.bias.outside-1.54894e-07
[1].mechanism.variance_error.mse.all6.44876e-11
[1].mechanism.variance_error.mse.inside3.45573e-10
[1].mechanism.variance_error.mse.outside5.53472e-11
[1].mechanism.variance_error.mae.all7.14259e-06
[1].mechanism.variance_error.mae.inside1.62072e-05
[1].mechanism.variance_error.mae.outside6.84782e-06
[1].mechanism.variance_error.bias.all7.14259e-06
[1].mechanism.variance_error.bias.inside1.62072e-05
[1].mechanism.variance_error.bias.outside6.84782e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64438e-06
[1].mechanism.localized.integrated_variance_error7.81052e-08
[1].mechanism.localized.integrated_variance_relative_error0.0171048
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all6.11379e-12
[1].mechanism.localized.error.mse.inside1.94125e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.05098e-07
[1].mechanism.localized.error.mae.inside9.68747e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.05098e-07
[1].mechanism.localized.error.bias.inside9.68747e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.02
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15114
[0].acoustic.peak0.386206
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz240.031
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00159777
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000441197
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00163538
[0].mechanism.mean_error.mse.all9.18923e-07
[0].mechanism.mean_error.mse.inside8.20701e-07
[0].mechanism.mean_error.mse.outside9.22117e-07
[0].mechanism.mean_error.mae.all0.000778113
[0].mechanism.mean_error.mae.inside0.000714511
[0].mechanism.mean_error.mae.outside0.000780181
[0].mechanism.mean_error.bias.all-2.78343e-07
[0].mechanism.mean_error.bias.inside-4.07462e-06
[0].mechanism.mean_error.bias.outside-1.54894e-07
[0].mechanism.variance_error.mse.all6.44876e-11
[0].mechanism.variance_error.mse.inside3.45573e-10
[0].mechanism.variance_error.mse.outside5.53472e-11
[0].mechanism.variance_error.mae.all7.14259e-06
[0].mechanism.variance_error.mae.inside1.62072e-05
[0].mechanism.variance_error.mae.outside6.84782e-06
[0].mechanism.variance_error.bias.all7.14259e-06
[0].mechanism.variance_error.bias.inside1.62072e-05
[0].mechanism.variance_error.bias.outside6.84782e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64438e-06
[0].mechanism.localized.integrated_variance_error7.81052e-08
[0].mechanism.localized.integrated_variance_relative_error0.0171048
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all6.11379e-12
[0].mechanism.localized.error.mse.inside1.94125e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all3.05098e-07
[0].mechanism.localized.error.mae.inside9.68747e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.05098e-07
[0].mechanism.localized.error.bias.inside9.68747e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.986
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151715
[1].acoustic.peak0.393276
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz239.432
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00159777
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000441197
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00163538
[1].mechanism.mean_error.mse.all9.18923e-07
[1].mechanism.mean_error.mse.inside8.20701e-07
[1].mechanism.mean_error.mse.outside9.22117e-07
[1].mechanism.mean_error.mae.all0.000778113
[1].mechanism.mean_error.mae.inside0.000714511
[1].mechanism.mean_error.mae.outside0.000780181
[1].mechanism.mean_error.bias.all-2.78343e-07
[1].mechanism.mean_error.bias.inside-4.07462e-06
[1].mechanism.mean_error.bias.outside-1.54894e-07
[1].mechanism.variance_error.mse.all6.44876e-11
[1].mechanism.variance_error.mse.inside3.45573e-10
[1].mechanism.variance_error.mse.outside5.53472e-11
[1].mechanism.variance_error.mae.all7.14259e-06
[1].mechanism.variance_error.mae.inside1.62072e-05
[1].mechanism.variance_error.mae.outside6.84782e-06
[1].mechanism.variance_error.bias.all7.14259e-06
[1].mechanism.variance_error.bias.inside1.62072e-05
[1].mechanism.variance_error.bias.outside6.84782e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64438e-06
[1].mechanism.localized.integrated_variance_error7.81052e-08
[1].mechanism.localized.integrated_variance_relative_error0.0171048
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all6.11379e-12
[1].mechanism.localized.error.mse.inside1.94125e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all3.05098e-07
[1].mechanism.localized.error.mae.inside9.68747e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.05098e-07
[1].mechanism.localized.error.bias.inside9.68747e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.02
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12565093474324177, 0.00072036969975532, 0.050448759184023965, 0.025395295444381825, 0.02499215410129708, -0.013277646127339369, 0.011787123131013348, 0.006075555982656469]
selected_unquantized.sigma2_raw0.000406842
selected_unquantized.sigma20.000406842
selected_unquantized.objective-14093.1
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14093.1
direct_rss1.66642
rss_difference-8.68194e-14
sigma2_floor1.04157e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12565093474324177, 0.00072036969975532, 0.050448759184023965, 0.025395295444381825, 0.02499215410129708, -0.013277646127339369, 0.011787123131013348, 0.006075555982656469]
top_candidates[0].sigma2_raw0.000406842
top_candidates[0].sigma20.000406842
top_candidates[0].objective-14093.1
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[193, 1], [495, 0]]
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top_candidates[2].q_index10
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top_candidates[3].q_index10
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top_candidates[4].q_index10
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse6.5513e-09
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top_candidates[9].q_index10
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.39708e-10
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penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13187
mean_gain_prepass.rss2.40803
mean_gain_prepass.sigma20.000587898
mean_gain_prepass.direct_rss2.40803
mean_gain_prepass.rss_difference-4.52971e-14
mean_gain_prepass.direct_objective-13187
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04157e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14093.1
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.499e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.63477e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.50055e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10410934694815596, 0.0006803327767432134, 0.041680249154687786, 0.0209946169309821, 0.020666692266535974, -0.010921644975656593, 0.009713359950898766, 0.005044098907482634]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000568252
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000568252
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13408.7
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.07299
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap5.15587
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse7.95009e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.6221e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse7.93804e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.62133e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[195, 1], [577, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10384635736963133, 0.0007502318732785387, 0.04152013178003794, 0.020771379540443478, 0.020585346893780193, -0.010915673923883927, 0.009689670245421712, 0.0048902618783051]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000561293
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000561293
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13407.7
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.14701
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap6.21001
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.72907e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.75417e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.72632e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.74765e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[195, 1], [577, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10401688457709253, 0.0007211733924499021, 0.041585082259684665, 0.020851977105514983, 0.020641716593133404, -0.01091997861394577, 0.00973780460565208, 0.004927312734964903]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.0005684
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.0005684
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13407.2
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.12976
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap6.65921
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.53555e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse3.02818e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.53412e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.93849e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[195, 1], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10361315089780894, 0.0006605790071940621, 0.041460035137672685, 0.020797611288182045, 0.020572416993996104, -0.010818902121831718, 0.00968965669806953, 0.004875661486753468]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000546534
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000546534
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13406.9
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.10895
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap7.01882
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.06922e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse4.24645e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.06072e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse4.24445e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[192, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10407977614253296, 0.0006712387172066836, 0.041686958695121686, 0.020995294971339073, 0.020696356540304904, -0.010946671693544366, 0.009750036824225776, 0.00505083393797054]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000574179
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000574179
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13406.8
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.04031
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap7.077
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.53249e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.85348e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.52125e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.85596e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12565093474324177, 0.00072036969975532, 0.050448759184023965, 0.025395295444381825, 0.02499215410129708, -0.013277646127339369, 0.011787123131013348, 0.006075555982656469]
selected_unquantized.sigma2_raw0.000406842
selected_unquantized.sigma20.000406842
selected_unquantized.objective-14093.1
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14093.1
direct_rss1.66642
rss_difference-8.68194e-14
sigma2_floor1.04157e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12565093474324177, 0.00072036969975532, 0.050448759184023965, 0.025395295444381825, 0.02499215410129708, -0.013277646127339369, 0.011787123131013348, 0.006075555982656469]
top_candidates[0].sigma2_raw0.000406842
top_candidates[0].sigma20.000406842
top_candidates[0].objective-14093.1
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[193, 1], [495, 0]]
top_candidates[1].mean[0.12563361184606026, 0.0007102046524701792, 0.05044219353557024, 0.025427042681402473, 0.025039424798228373, -0.013270506185165733, 0.011821547625128308, 0.006010543627661308]
top_candidates[1].sigma2_raw0.000403225
top_candidates[1].sigma20.000403225
top_candidates[1].objective-14088
top_candidates[1].condition_number3.09968
top_candidates[1].objective_gap5.02295
top_candidates[1].edit_difference_from_selected.120.0.mean_mse4.54437e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.7033e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.5635e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.71615e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[195, 1]]
top_candidates[2].mean[0.12573488398213584, 0.0007480736275939054, 0.050447103046765, 0.02531156304197303, 0.025031076042544443, -0.013245689827224742, 0.011877567940696308, 0.0059805410051510955]
top_candidates[2].sigma2_raw0.000413182
top_candidates[2].sigma20.000413182
top_candidates[2].objective-14086
top_candidates[2].condition_number3.1427
top_candidates[2].objective_gap7.05363
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.72807e-08
top_candidates[2].edit_difference_from_selected.120.0.variance_mse5.43706e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.72429e-08
top_candidates[2].edit_difference_from_selected.140.0.variance_mse5.43834e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[190, 1]]
top_candidates[3].mean[0.12561395419726132, 0.0006925215342978873, 0.0504918471515915, 0.025394672478841276, 0.02500159661748235, -0.013318937636246189, 0.011827206878238114, 0.006085326985125827]
top_candidates[3].sigma2_raw0.000407457
top_candidates[3].sigma20.000407457
top_candidates[3].objective-14084.6
top_candidates[3].condition_number3.0817
top_candidates[3].objective_gap8.48746
top_candidates[3].edit_difference_from_selected.120.0.mean_mse3.77155e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse8.42846e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse3.75779e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse8.43012e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[193, 1], [496, 0]]
top_candidates[4].mean[0.12564128424914478, 0.0007175512767045839, 0.050454240682635, 0.025410809371297746, 0.025024976598948326, -0.013291895651974837, 0.011805180077422222, 0.0060076652357647494]
top_candidates[4].sigma2_raw0.000402829
top_candidates[4].sigma20.000402829
top_candidates[4].objective-14084.6
top_candidates[4].condition_number3.12406
top_candidates[4].objective_gap8.49144
top_candidates[4].edit_difference_from_selected.120.0.mean_mse3.27031e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.30657e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse3.28509e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.30836e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[193, 1], [494, 0]]
top_candidates[5].mean[0.12562030844738442, 0.0007021671041545898, 0.05047972239418734, 0.025412132528654454, 0.025007594887441788, -0.013287082234225301, 0.011800582936655585, 0.006030036764024899]
top_candidates[5].sigma2_raw0.000398826
top_candidates[5].sigma20.000398826
top_candidates[5].objective-14084.5
top_candidates[5].condition_number3.08769
top_candidates[5].objective_gap8.57105
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.54051e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.5262e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.54605e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.53395e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[193, 1], [493, 0]]
top_candidates[6].mean[0.12564316501122924, 0.0007137442721696823, 0.050441993138783794, 0.025412668974113196, 0.025033754970284386, -0.013270460074357265, 0.011839638679680398, 0.005999749164463492]
top_candidates[6].sigma2_raw0.000402058
top_candidates[6].sigma20.000402058
top_candidates[6].objective-14083.4
top_candidates[6].condition_number3.06889
top_candidates[6].objective_gap9.70286
top_candidates[6].edit_difference_from_selected.120.0.mean_mse5.33666e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.31654e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse5.35435e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.31848e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[193, 1], [348, 0]]
top_candidates[7].mean[0.12565133109984, 0.0007262857504654881, 0.05045335383202002, 0.025410353773627704, 0.025010101559031127, -0.0132579414243641, 0.011812426230209273, 0.006093612833329793]
top_candidates[7].sigma2_raw0.000404882
top_candidates[7].sigma20.000404882
top_candidates[7].objective-14083.1
top_candidates[7].condition_number3.11635
top_candidates[7].objective_gap9.96244
top_candidates[7].edit_difference_from_selected.120.0.mean_mse9.72148e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.64674e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse9.72273e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.6516e-10
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[193, 0]]
top_candidates[8].mean[0.12568302817370441, 0.0007171328182013903, 0.0504408139071124, 0.025364488207999934, 0.025035659511318732, -0.013255876447477638, 0.011853878256236423, 0.006010282864745111]
top_candidates[8].sigma2_raw0.000414778
top_candidates[8].sigma20.000414778
top_candidates[8].objective-14083.1
top_candidates[8].condition_number3.11859
top_candidates[8].objective_gap9.96857
top_candidates[8].edit_difference_from_selected.120.0.mean_mse6.54836e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.19033e-08
top_candidates[8].edit_difference_from_selected.140.0.mean_mse6.5513e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.19136e-08
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[193, 1], [459, 0]]
top_candidates[9].mean[0.1256481686204301, 0.0007294190843619796, 0.05043538608069249, 0.025388271038807808, 0.025008831263706847, -0.01328685430432197, 0.01179149254167527, 0.006094947987556898]
top_candidates[9].sigma2_raw0.000404844
top_candidates[9].sigma20.000404844
top_candidates[9].objective-14083
top_candidates[9].condition_number3.11098
top_candidates[9].objective_gap10.009
top_candidates[9].edit_difference_from_selected.120.0.mean_mse5.42024e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.64451e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.39708e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.60927e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13187
mean_gain_prepass.rss2.40803
mean_gain_prepass.sigma20.000587898
mean_gain_prepass.direct_rss2.40803
mean_gain_prepass.rss_difference-4.52971e-14
mean_gain_prepass.direct_objective-13187
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04157e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14093.1
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
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coupling_score_gap_eta1_minus_eta0_with_new_penalty3.39566
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C4 乗算混合 / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149601
[0].acoustic.peak0.365852
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz203.452
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.796
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.146733
[1].acoustic.peak0.379076
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz205.018
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.919
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156941
[0].acoustic.peak0.399003
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz202.867
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.904
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150676
[0].acoustic.peak0.376598
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.12
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00331181
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0649943
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.001306
[0].mechanism.mean_error.mse.all8.58999e-07
[0].mechanism.mean_error.mse.inside8.75904e-07
[0].mechanism.mean_error.mse.outside8.5845e-07
[0].mechanism.mean_error.mae.all0.000786243
[0].mechanism.mean_error.mae.inside0.000795116
[0].mechanism.mean_error.mae.outside0.000785955
[0].mechanism.mean_error.bias.all2.36889e-06
[0].mechanism.mean_error.bias.inside-1.4731e-05
[0].mechanism.mean_error.bias.outside2.92495e-06
[0].mechanism.variance_error.mse.all6.41254e-09
[0].mechanism.variance_error.mse.inside2.02239e-07
[0].mechanism.variance_error.mse.outside4.46093e-11
[0].mechanism.variance_error.mae.all1.57099e-05
[0].mechanism.variance_error.mae.inside0.00030981
[0].mechanism.variance_error.mae.outside6.14626e-06
[0].mechanism.variance_error.bias.all-3.73748e-06
[0].mechanism.variance_error.bias.inside-0.000307681
[0].mechanism.variance_error.bias.outside6.14626e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate1.15911e-06
[0].mechanism.localized.integrated_variance_error-2.53094e-06
[0].mechanism.localized.integrated_variance_relative_error-0.685882
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all6.49509e-09
[0].mechanism.localized.error.mse.inside2.06232e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all9.88647e-06
[0].mechanism.localized.error.mae.inside0.000313914
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-9.88647e-06
[0].mechanism.localized.error.bias.inside-0.000313914
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse2.06232e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse2.02239e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse4.46093e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.034
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151775
[1].acoustic.peak0.385781
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.527
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00331181
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0649943
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.001306
[1].mechanism.mean_error.mse.all8.58999e-07
[1].mechanism.mean_error.mse.inside8.75904e-07
[1].mechanism.mean_error.mse.outside8.5845e-07
[1].mechanism.mean_error.mae.all0.000786243
[1].mechanism.mean_error.mae.inside0.000795116
[1].mechanism.mean_error.mae.outside0.000785955
[1].mechanism.mean_error.bias.all2.36889e-06
[1].mechanism.mean_error.bias.inside-1.4731e-05
[1].mechanism.mean_error.bias.outside2.92495e-06
[1].mechanism.variance_error.mse.all6.41254e-09
[1].mechanism.variance_error.mse.inside2.02239e-07
[1].mechanism.variance_error.mse.outside4.46093e-11
[1].mechanism.variance_error.mae.all1.57099e-05
[1].mechanism.variance_error.mae.inside0.00030981
[1].mechanism.variance_error.mae.outside6.14626e-06
[1].mechanism.variance_error.bias.all-3.73748e-06
[1].mechanism.variance_error.bias.inside-0.000307681
[1].mechanism.variance_error.bias.outside6.14626e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate1.15911e-06
[1].mechanism.localized.integrated_variance_error-2.53094e-06
[1].mechanism.localized.integrated_variance_relative_error-0.685882
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all6.49509e-09
[1].mechanism.localized.error.mse.inside2.06232e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all9.88647e-06
[1].mechanism.localized.error.mae.inside0.000313914
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-9.88647e-06
[1].mechanism.localized.error.bias.inside-0.000313914
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse2.06232e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse2.02239e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse4.46093e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.998
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150699
[0].acoustic.peak0.384704
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz212.617
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0012347
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000735628
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00125093
[0].mechanism.mean_error.mse.all8.39843e-07
[0].mechanism.mean_error.mse.inside8.56008e-07
[0].mechanism.mean_error.mse.outside8.39318e-07
[0].mechanism.mean_error.mae.all0.000773607
[0].mechanism.mean_error.mae.inside0.000782644
[0].mechanism.mean_error.mae.outside0.000773314
[0].mechanism.mean_error.bias.all2.18529e-06
[0].mechanism.mean_error.bias.inside-1.4584e-05
[0].mechanism.mean_error.bias.outside2.7306e-06
[0].mechanism.variance_error.mse.all2.32646e-12
[0].mechanism.variance_error.mse.inside1.0464e-11
[0].mechanism.variance_error.mse.outside2.06184e-12
[0].mechanism.variance_error.mae.all1.36957e-06
[0].mechanism.variance_error.mae.inside2.85175e-06
[0].mechanism.variance_error.mae.outside1.32137e-06
[0].mechanism.variance_error.bias.all1.36957e-06
[0].mechanism.variance_error.bias.inside2.85175e-06
[0].mechanism.variance_error.bias.outside1.32137e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate3.70223e-06
[0].mechanism.localized.integrated_variance_error1.21884e-08
[0].mechanism.localized.integrated_variance_relative_error0.00330304
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0988838
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all1.40867e-13
[0].mechanism.localized.error.mse.inside4.47281e-12
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all4.76108e-08
[0].mechanism.localized.error.mae.inside1.51173e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.76108e-08
[0].mechanism.localized.error.bias.inside1.51173e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse4.47281e-12
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.0464e-11
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.06184e-12
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.032
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151781
[1].acoustic.peak0.40976
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.863
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0012347
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000735628
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00125093
[1].mechanism.mean_error.mse.all8.39843e-07
[1].mechanism.mean_error.mse.inside8.56008e-07
[1].mechanism.mean_error.mse.outside8.39318e-07
[1].mechanism.mean_error.mae.all0.000773607
[1].mechanism.mean_error.mae.inside0.000782644
[1].mechanism.mean_error.mae.outside0.000773314
[1].mechanism.mean_error.bias.all2.18529e-06
[1].mechanism.mean_error.bias.inside-1.4584e-05
[1].mechanism.mean_error.bias.outside2.7306e-06
[1].mechanism.variance_error.mse.all2.32646e-12
[1].mechanism.variance_error.mse.inside1.0464e-11
[1].mechanism.variance_error.mse.outside2.06184e-12
[1].mechanism.variance_error.mae.all1.36957e-06
[1].mechanism.variance_error.mae.inside2.85175e-06
[1].mechanism.variance_error.mae.outside1.32137e-06
[1].mechanism.variance_error.bias.all1.36957e-06
[1].mechanism.variance_error.bias.inside2.85175e-06
[1].mechanism.variance_error.bias.outside1.32137e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate3.70223e-06
[1].mechanism.localized.integrated_variance_error1.21884e-08
[1].mechanism.localized.integrated_variance_relative_error0.00330304
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0988838
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all1.40867e-13
[1].mechanism.localized.error.mse.inside4.47281e-12
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all4.76108e-08
[1].mechanism.localized.error.mae.inside1.51173e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.76108e-08
[1].mechanism.localized.error.bias.inside1.51173e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse4.47281e-12
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.0464e-11
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.06184e-12
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.016
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.140469
[0].acoustic.peak0.339451
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz227.164
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames44
[0].output_f0.positive_median_hz139.432
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.13961
[1].acoustic.peak0.3368
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz224.961
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.382
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151016
[0].acoustic.peak0.355445
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.12
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.966
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151536
[0].acoustic.peak0.380888
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz234.951
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00308531
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0578869
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00130326
[0].mechanism.mean_error.mse.all8.5594e-07
[0].mechanism.mean_error.mse.inside8.08445e-07
[0].mechanism.mean_error.mse.outside8.57485e-07
[0].mechanism.mean_error.mae.all0.000784203
[0].mechanism.mean_error.mae.inside0.000763346
[0].mechanism.mean_error.mae.outside0.000784881
[0].mechanism.mean_error.bias.all2.40062e-06
[0].mechanism.mean_error.bias.inside2.31541e-05
[0].mechanism.mean_error.bias.outside1.72575e-06
[0].mechanism.variance_error.mse.all5.23186e-09
[0].mechanism.variance_error.mse.inside1.64749e-07
[0].mechanism.variance_error.mse.outside4.46537e-11
[0].mechanism.variance_error.mae.all1.48369e-05
[0].mechanism.variance_error.mae.inside0.000281951
[0].mechanism.variance_error.mae.outside6.15082e-06
[0].mechanism.variance_error.bias.all-2.86964e-06
[0].mechanism.variance_error.bias.inside-0.000280266
[0].mechanism.variance_error.bias.outside6.15082e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate1.15911e-06
[0].mechanism.localized.integrated_variance_error-2.30686e-06
[0].mechanism.localized.integrated_variance_relative_error-0.665575
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.30121e-09
[0].mechanism.localized.error.mse.inside1.68324e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all9.01118e-06
[0].mechanism.localized.error.mae.inside0.000286122
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-9.01118e-06
[0].mechanism.localized.error.bias.inside-0.000286122
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.68324e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.64749e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse4.46537e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.035
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151248
[1].acoustic.peak0.387332
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.459
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00308531
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0578869
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00130326
[1].mechanism.mean_error.mse.all8.5594e-07
[1].mechanism.mean_error.mse.inside8.08445e-07
[1].mechanism.mean_error.mse.outside8.57485e-07
[1].mechanism.mean_error.mae.all0.000784203
[1].mechanism.mean_error.mae.inside0.000763346
[1].mechanism.mean_error.mae.outside0.000784881
[1].mechanism.mean_error.bias.all2.40062e-06
[1].mechanism.mean_error.bias.inside2.31541e-05
[1].mechanism.mean_error.bias.outside1.72575e-06
[1].mechanism.variance_error.mse.all5.23186e-09
[1].mechanism.variance_error.mse.inside1.64749e-07
[1].mechanism.variance_error.mse.outside4.46537e-11
[1].mechanism.variance_error.mae.all1.48369e-05
[1].mechanism.variance_error.mae.inside0.000281951
[1].mechanism.variance_error.mae.outside6.15082e-06
[1].mechanism.variance_error.bias.all-2.86964e-06
[1].mechanism.variance_error.bias.inside-0.000280266
[1].mechanism.variance_error.bias.outside6.15082e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate1.15911e-06
[1].mechanism.localized.integrated_variance_error-2.30686e-06
[1].mechanism.localized.integrated_variance_relative_error-0.665575
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.30121e-09
[1].mechanism.localized.error.mse.inside1.68324e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all9.01118e-06
[1].mechanism.localized.error.mae.inside0.000286122
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-9.01118e-06
[1].mechanism.localized.error.bias.inside-0.000286122
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.68324e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.64749e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse4.46537e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.13
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151511
[0].acoustic.peak0.386159
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz236.928
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00123051
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000685168
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00124824
[0].mechanism.mean_error.mse.all8.3683e-07
[0].mechanism.mean_error.mse.inside7.89675e-07
[0].mechanism.mean_error.mse.outside8.38363e-07
[0].mechanism.mean_error.mae.all0.000771646
[0].mechanism.mean_error.mae.inside0.000751651
[0].mechanism.mean_error.mae.outside0.000772296
[0].mechanism.mean_error.bias.all2.2196e-06
[0].mechanism.mean_error.bias.inside2.33129e-05
[0].mechanism.mean_error.bias.outside1.53369e-06
[0].mechanism.variance_error.mse.all2.28976e-12
[0].mechanism.variance_error.mse.inside9.23542e-12
[0].mechanism.variance_error.mse.outside2.06389e-12
[0].mechanism.variance_error.mae.all1.36508e-06
[0].mechanism.variance_error.mae.inside2.67894e-06
[0].mechanism.variance_error.mae.outside1.32236e-06
[0].mechanism.variance_error.bias.all1.36508e-06
[0].mechanism.variance_error.bias.inside2.67894e-06
[0].mechanism.variance_error.bias.outside1.32236e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate3.47742e-06
[0].mechanism.localized.integrated_variance_error1.14482e-08
[0].mechanism.localized.integrated_variance_relative_error0.00330304
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0989006
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all1.20295e-13
[0].mechanism.localized.error.mse.inside3.8196e-12
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all4.47197e-08
[0].mechanism.localized.error.mae.inside1.41994e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.47197e-08
[0].mechanism.localized.error.bias.inside1.41994e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse3.8196e-12
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse9.23542e-12
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.06389e-12
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.062
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151284
[1].acoustic.peak0.387542
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.742
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00123051
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000685168
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00124824
[1].mechanism.mean_error.mse.all8.3683e-07
[1].mechanism.mean_error.mse.inside7.89675e-07
[1].mechanism.mean_error.mse.outside8.38363e-07
[1].mechanism.mean_error.mae.all0.000771646
[1].mechanism.mean_error.mae.inside0.000751651
[1].mechanism.mean_error.mae.outside0.000772296
[1].mechanism.mean_error.bias.all2.2196e-06
[1].mechanism.mean_error.bias.inside2.33129e-05
[1].mechanism.mean_error.bias.outside1.53369e-06
[1].mechanism.variance_error.mse.all2.28976e-12
[1].mechanism.variance_error.mse.inside9.23542e-12
[1].mechanism.variance_error.mse.outside2.06389e-12
[1].mechanism.variance_error.mae.all1.36508e-06
[1].mechanism.variance_error.mae.inside2.67894e-06
[1].mechanism.variance_error.mae.outside1.32236e-06
[1].mechanism.variance_error.bias.all1.36508e-06
[1].mechanism.variance_error.bias.inside2.67894e-06
[1].mechanism.variance_error.bias.outside1.32236e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate3.47742e-06
[1].mechanism.localized.integrated_variance_error1.14482e-08
[1].mechanism.localized.integrated_variance_relative_error0.00330304
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0989006
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all1.20295e-13
[1].mechanism.localized.error.mse.inside3.8196e-12
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all4.47197e-08
[1].mechanism.localized.error.mae.inside1.41994e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.47197e-08
[1].mechanism.localized.error.bias.inside1.41994e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse3.8196e-12
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse9.23542e-12
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.06389e-12
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.134
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 0]]
selected_unquantized.mean[0.12598326824829795, 0.0005439753085823131, 0.05027069087415178, 0.02512931874945205, 0.025326641661872887, -0.012828248055413348, 0.013371233430775446, 0.0071341529556528055]
selected_unquantized.sigma2_raw0.000406146
selected_unquantized.sigma20.000406146
selected_unquantized.objective-14126.2
selected_unquantized.condition_number3.11859
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14126.2
direct_rss1.66357
rss_difference9.9476e-14
sigma2_floor1.04529e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1683
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[[193, 0]]
top_candidates[0].mean[0.12598326824829795, 0.0005439753085823131, 0.05027069087415178, 0.02512931874945205, 0.025326641661872887, -0.012828248055413348, 0.013371233430775446, 0.0071341529556528055]
top_candidates[0].sigma2_raw0.000406146
top_candidates[0].sigma20.000406146
top_candidates[0].objective-14126.2
top_candidates[0].condition_number3.11859
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[191, 0]]
top_candidates[1].mean[0.12597802236409383, 0.0005225245064064098, 0.05026640912920747, 0.025081108888359047, 0.02534581375179216, -0.012826293767340189, 0.013377459039673868, 0.0071408445363585725]
top_candidates[1].sigma2_raw0.000402923
top_candidates[1].sigma20.000402923
top_candidates[1].objective-14124.8
top_candidates[1].condition_number3.12101
top_candidates[1].objective_gap1.31969
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.64552e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.2366e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.64455e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.24705e-10
top_candidates[2].q_index10
top_candidates[2].events[[196, 1]]
top_candidates[2].mean[0.1259219275908476, 0.0004950003771312477, 0.05027375056659543, 0.025088853807591443, 0.02534129603766552, -0.012885660125552192, 0.013322037730049972, 0.007151361646633943]
top_candidates[2].sigma2_raw0.000402221
top_candidates[2].sigma20.000402221
top_candidates[2].objective-14124.5
top_candidates[2].condition_number3.19332
top_candidates[2].objective_gap1.68222
top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.04084e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.3775e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.02141e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.37807e-08
top_candidates[3].q_index10
top_candidates[3].events[[193, 1]]
top_candidates[3].mean[0.1259897772743466, 0.0005612306086568732, 0.05026497358625653, 0.02508695434749504, 0.0253086193715519, -0.012843367886436237, 0.013348715004248073, 0.007112026155350991]
top_candidates[3].sigma2_raw0.000400707
top_candidates[3].sigma20.000400707
top_candidates[3].objective-14124.2
top_candidates[3].condition_number3.109
top_candidates[3].objective_gap1.98938
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.85106e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.16071e-08
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.85061e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.16142e-08
top_candidates[4].q_index10
top_candidates[4].events[[188, 0]]
top_candidates[4].mean[0.12597138417158157, 0.0005407943571832133, 0.05027208836189217, 0.025072831040444724, 0.02534013465625201, -0.01280360527040318, 0.013369875596691776, 0.0071118535041103815]
top_candidates[4].sigma2_raw0.000403077
top_candidates[4].sigma20.000403077
top_candidates[4].objective-14122.4
top_candidates[4].condition_number3.1133
top_candidates[4].objective_gap3.74602
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.33194e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.62122e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.32327e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.60826e-10
top_candidates[5].q_index10
top_candidates[5].events[[195, 1]]
top_candidates[5].mean[0.1259753776303048, 0.0005368749299371827, 0.05030174056917295, 0.025149501792672356, 0.025333318625443104, -0.012874124752370196, 0.01331614108096058, 0.007130425849934306]
top_candidates[5].sigma2_raw0.000405961
top_candidates[5].sigma20.000405961
top_candidates[5].objective-14122.1
top_candidates[5].condition_number3.1427
top_candidates[5].objective_gap4.04853
top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.32095e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse5.42014e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.34507e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse5.42034e-09
top_candidates[6].q_index10
top_candidates[6].events[[194, 0]]
top_candidates[6].mean[0.12595635364969363, 0.0004961876957363084, 0.050270269596310986, 0.02509149799708673, 0.025349608602036354, -0.012840972676000427, 0.013378418011338176, 0.007174221502951467]
top_candidates[6].sigma2_raw0.000403972
top_candidates[6].sigma20.000403972
top_candidates[6].objective-14121.7
top_candidates[6].condition_number3.13814
top_candidates[6].objective_gap4.41193
top_candidates[6].edit_difference_from_selected.120.0.mean_mse3.40548e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.5335e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse3.40377e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.53478e-09
top_candidates[7].q_index10
top_candidates[7].events[[196, 0]]
top_candidates[7].mean[0.12594309089210026, 0.000501517856897132, 0.05026268361787172, 0.02513641140730146, 0.02533825195026057, -0.012846914762859306, 0.013351239882771778, 0.007155588865483217]
top_candidates[7].sigma2_raw0.000408044
top_candidates[7].sigma20.000408044
top_candidates[7].objective-14121.7
top_candidates[7].condition_number3.17351
top_candidates[7].objective_gap4.41571
top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.45142e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse5.36596e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.4427e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.36518e-10
top_candidates[8].q_index10
top_candidates[8].events[[195, 0]]
top_candidates[8].mean[0.12596742271360079, 0.0005291651460705813, 0.05028874081786962, 0.02516414304690692, 0.025349260936801465, -0.012846668276264602, 0.013356537918073891, 0.007142474426186182]
top_candidates[8].sigma2_raw0.00040941
top_candidates[8].sigma20.00040941
top_candidates[8].objective-14120.4
top_candidates[8].condition_number3.14938
top_candidates[8].objective_gap5.78028
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.57813e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse3.43655e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.578e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse3.43814e-10
top_candidates[9].q_index10
top_candidates[9].events[[190, 0]]
top_candidates[9].mean[0.12600430371348773, 0.0005602961086308086, 0.050267240397008035, 0.025121460904340743, 0.02533639765270253, -0.012795755660803682, 0.01338828544685025, 0.00710867999093996]
top_candidates[9].sigma2_raw0.000406864
top_candidates[9].sigma20.000406864
top_candidates[9].objective-14119
top_candidates[9].condition_number3.09639
top_candidates[9].objective_gap7.12075
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.4411e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse5.24647e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.43858e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse5.25131e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13237.6
mean_gain_prepass.rss2.34928
mean_gain_prepass.sigma20.000573555
mean_gain_prepass.direct_rss2.34928
mean_gain_prepass.rss_difference-4.52971e-14
mean_gain_prepass.direct_objective-13237.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04529e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14126.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14126.2
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14126.2
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 0]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12598326824829795, 0.0005439753085823131, 0.05027069087415178, 0.02512931874945205, 0.025326641661872887, -0.012828248055413348, 0.013371233430775446, 0.0071341529556528055]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000406146
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000406146
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14126.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.11859
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14126.2
branch_diagnostics[0].diagnostics.direct_rss1.66357
branch_diagnostics[0].diagnostics.rss_difference9.9476e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.04529e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[10].one1737
branch_diagnostics[1].diagnostics.candidate_counts[10].two1590
branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[1].diagnostics.candidate_counts[11].zero1
branch_diagnostics[1].diagnostics.candidate_counts[11].one1737
branch_diagnostics[1].diagnostics.candidate_counts[11].two1590
branch_diagnostics[1].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[1].diagnostics.candidate_counts[12].zero1
branch_diagnostics[1].diagnostics.candidate_counts[12].one1737
branch_diagnostics[1].diagnostics.candidate_counts[12].two1590
branch_diagnostics[1].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[1].diagnostics.candidate_counts[13].zero1
branch_diagnostics[1].diagnostics.candidate_counts[13].one1737
branch_diagnostics[1].diagnostics.candidate_counts[13].two1590
branch_diagnostics[1].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[1].diagnostics.candidate_counts[14].zero1
branch_diagnostics[1].diagnostics.candidate_counts[14].one1737
branch_diagnostics[1].diagnostics.candidate_counts[14].two1590
branch_diagnostics[1].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[1].diagnostics.candidate_counts[15].zero1
branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1665
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1626
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1626
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1590
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1626
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1590
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1626
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1626
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1683
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1626
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10440759977887083, 0.0005450126252085882, 0.041706693705176726, 0.020995831103975033, 0.021113796749347047, -0.010506399020864777, 0.011076235514937716, 0.0059374914106914475]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000557748
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000557748
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13476.5
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.14188
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10436288367774578, 0.00048426374283780496, 0.0416655847129504, 0.021043381468755663, 0.02113356917364186, -0.010469031974235286, 0.011111574159546883, 0.005978181661641463]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000567156
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000567156
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13476.2
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.18677
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap0.3276
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.01983e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse2.54935e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.027e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse2.55485e-09
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[195, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10437878472482061, 0.0005299835984110417, 0.04171223559018157, 0.021032327265401322, 0.021129125029072094, -0.010524195866139386, 0.011054788429000133, 0.005946190382916578]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000561095
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000561095
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13474.9
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.17591
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap1.6376
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.53172e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.452e-10
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.52583e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.45438e-10
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[196, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10437440713718399, 0.0004984436842608618, 0.04170648564344054, 0.021010426927644703, 0.0211333416430731, -0.010522572903387937, 0.01105794846423557, 0.005956116581703489]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000559844
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000559844
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13474
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.20212
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap2.54825
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse3.47502e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.00616e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse3.45955e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.00605e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[195, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10439047730146842, 0.0005396005317477353, 0.041730442413308214, 0.0210156686210197, 0.02111566647196472, -0.010554586929411048, 0.011018253667201857, 0.0059334122983125785]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000557585
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000557585
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13472.2
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.16826
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap4.37826
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.99601e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.02268e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse5.02832e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.02271e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[192, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10441058339061698, 0.0005521315811284344, 0.0416833103579772, 0.021006487541761983, 0.02112237819565468, -0.010462863888871, 0.01112300737173334, 0.0059423528916887495]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000561177
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000561177
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13471.3
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.12116
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap5.19147
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.48301e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.47248e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.50612e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.47465e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[191, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.1044366419713373, 0.0005261004246629524, 0.04170636032989173, 0.02096334456650872, 0.02114013089982673, -0.010501625038807015, 0.011081557358059158, 0.005946280491266683]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000554467
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000554467
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13471
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.145
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap5.54961
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.20204e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.5685e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.20041e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.56998e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[190, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10443199346024505, 0.0005641618171178874, 0.041686450738554724, 0.020987501566651356, 0.02112353008557706, -0.010474848828986631, 0.011083027762275226, 0.005916616035693993]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000558365
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000558365
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13470.8
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.11784
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap5.76038
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.17521e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse9.88997e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.16935e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse9.89567e-10
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[194, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.1044176895998694, 0.000498965985915693, 0.04171319545652218, 0.02097837397049014, 0.021141782212014706, -0.010516837125995512, 0.011085045375089388, 0.005977870584208974]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000555611
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000555611
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13469
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.16388
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap7.53794
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.7037e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.91001e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.7042e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.91175e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[196, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10437740530096823, 0.0004945606453156838, 0.04174064331466128, 0.020972700345751927, 0.021146873398217282, -0.010556281556884494, 0.011035092091491104, 0.005954383117761338]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000554035
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000554035
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13468.7
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.22374
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap7.88612
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.68613e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.62278e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.6711e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.62352e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag1
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12596871170849316, 0.0005421338413081788, 0.050260235912648145, 0.025087019750143782, 0.025313056492273684, -0.012852222080103011, 0.013348739449200677, 0.0071247443863069965]
selected_unquantized.sigma2_raw0.000401321
selected_unquantized.sigma20.000401321
selected_unquantized.objective-14128.2
selected_unquantized.condition_number3.12953
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14128.2
direct_rss1.64381
rss_difference8.74856e-14
sigma2_floor1.04529e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3718
candidate_counts[0].q_index1
candidate_counts[0].zero0
candidate_counts[0].one1737
candidate_counts[0].two1518
candidate_counts[1].q_index2
candidate_counts[1].zero0
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index3
candidate_counts[2].zero0
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index4
candidate_counts[3].zero0
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index5
candidate_counts[4].zero0
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index6
candidate_counts[5].zero0
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index7
candidate_counts[6].zero0
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index8
candidate_counts[7].zero0
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index9
candidate_counts[8].zero0
candidate_counts[8].one1737
candidate_counts[8].two1518
candidate_counts[9].q_index10
candidate_counts[9].zero0
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index11
candidate_counts[10].zero0
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index12
candidate_counts[11].zero0
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index13
candidate_counts[12].zero0
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index14
candidate_counts[13].zero0
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index15
candidate_counts[14].zero0
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index16
candidate_counts[15].zero0
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index17
candidate_counts[16].zero0
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index18
candidate_counts[17].zero0
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index19
candidate_counts[18].zero0
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index20
candidate_counts[19].zero0
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index21
candidate_counts[20].zero0
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index22
candidate_counts[21].zero0
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index23
candidate_counts[22].zero0
candidate_counts[22].one1737
candidate_counts[22].two1683
candidate_counts[23].q_index24
candidate_counts[23].zero0
candidate_counts[23].one1737
candidate_counts[23].two1626
top_candidates[0].coupling_flag1
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12596871170849316, 0.0005421338413081788, 0.050260235912648145, 0.025087019750143782, 0.025313056492273684, -0.012852222080103011, 0.013348739449200677, 0.0071247443863069965]
top_candidates[0].sigma2_raw0.000401321
top_candidates[0].sigma20.000401321
top_candidates[0].objective-14128.2
top_candidates[0].condition_number3.12953
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag1
top_candidates[1].q_index10
top_candidates[1].events[[193, 0]]
top_candidates[1].mean[0.12596582617158544, 0.0005232527130057687, 0.050260991253561524, 0.02513609221347612, 0.0253286232507451, -0.012829224930915673, 0.013369018015153552, 0.007147667761344098]
top_candidates[1].sigma2_raw0.000407637
top_candidates[1].sigma20.000407637
top_candidates[1].objective-14123.7
top_candidates[1].condition_number3.14016
top_candidates[1].objective_gap4.57362
top_candidates[1].edit_difference_from_selected.120.0.mean_mse2.22936e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse7.14909e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse2.2305e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.10479e-09
top_candidates[2].coupling_flag1
top_candidates[2].q_index10
top_candidates[2].events[[195, 1]]
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top_candidates[2].sigma20.000406684
top_candidates[2].objective-14123.4
top_candidates[2].condition_number3.14775
top_candidates[2].objective_gap4.82893
top_candidates[2].edit_difference_from_selected.120.0.mean_mse3.36247e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.62534e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse3.36458e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.4548e-09
top_candidates[3].coupling_flag1
top_candidates[3].q_index10
top_candidates[3].events[[191, 0]]
top_candidates[3].mean[0.1259491007696752, 0.0004891338351555986, 0.05026233215580945, 0.025080250478498878, 0.025356523763212478, -0.012832632422149664, 0.013380882468845603, 0.007158793026144224]
top_candidates[3].sigma2_raw0.000404378
top_candidates[3].sigma20.000404378
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top_candidates[3].objective_gap5.44197
top_candidates[3].edit_difference_from_selected.120.0.mean_mse3.85656e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.08551e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse3.86559e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse4.99726e-09
top_candidates[4].coupling_flag1
top_candidates[4].q_index10
top_candidates[4].events[[188, 0]]
top_candidates[4].mean[0.12594671135420143, 0.0005096736168601801, 0.05026629825081273, 0.025074342098493577, 0.025349113459708247, -0.01281205467461866, 0.013374078968846695, 0.007133982814532708]
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top_candidates[4].sigma20.000404462
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top_candidates[4].edit_difference_from_selected.120.0.variance_mse5.91637e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.69208e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse4.97057e-09
top_candidates[5].coupling_flag1
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top_candidates[5].events[[196, 1]]
top_candidates[5].mean[0.12591022872514399, 0.00047606961268313575, 0.05026805583524944, 0.025073261774182933, 0.025350669480339993, -0.012883301483713997, 0.013332550527628743, 0.007158781341118986]
top_candidates[5].sigma2_raw0.000402527
top_candidates[5].sigma20.000402527
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top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.98065e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.94218e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.73764e-09
top_candidates[6].coupling_flag1
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top_candidates[6].events[[90, 0], [193, 1]]
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top_candidates[6].sigma20.000398779
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top_candidates[6].edit_difference_from_selected.140.0.mean_mse8.8527e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse5.05025e-10
top_candidates[7].coupling_flag1
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top_candidates[7].mean[0.12599966793286077, 0.000571286603640355, 0.05026822680448911, 0.025096084664553507, 0.025311966623508257, -0.0128049263783062, 0.01335213270186865, 0.007088011030683132]
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top_candidates[7].objective_gap8.35866
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top_candidates[7].edit_difference_from_selected.120.0.variance_mse4.60151e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.78365e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.35682e-09
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top_candidates[8].events[[88, 0], [193, 1]]
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top_candidates[8].condition_number3.08482
top_candidates[8].objective_gap8.58297
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.39477e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse3.81651e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.39232e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.22137e-09
top_candidates[9].coupling_flag1
top_candidates[9].q_index10
top_candidates[9].events[[185, 0]]
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top_candidates[9].sigma2_raw0.000405003
top_candidates[9].sigma20.000405003
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top_candidates[9].objective_gap8.60518
top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.38356e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse7.02934e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.3862e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.2875e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13237.6
mean_gain_prepass.rss2.34928
mean_gain_prepass.sigma20.000573555
mean_gain_prepass.direct_rss2.34928
mean_gain_prepass.rss_difference-4.52971e-14
mean_gain_prepass.direct_objective-13237.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04529e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag1
gain_penalty_nats11.624
final_objective-14127.5
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.00056038
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.00056038
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13471.9
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.21143
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap3.80681
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.99057e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse8.50226e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.98543e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse8.2064e-10
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.104417687258297, 0.0005430521872887493, 0.04172126741741329, 0.020959871528728413, 0.021116519407247885, -0.010526452307716034, 0.011063312714503032, 0.005929050520136225]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000552939
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000552939
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13471.9
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.15368
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap3.83591
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.21062e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.36347e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.21838e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.16407e-08
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[192, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10442265692718108, 0.0005760509722424112, 0.04169683409870514, 0.02099976341180359, 0.021123536578431825, -0.01047459455475225, 0.011108731845874627, 0.005924397731617671]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000559074
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000559074
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13471.6
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.11042
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap4.07836
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.82842e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse3.23206e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.81371e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse3.48845e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[192, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10439471417347498, 0.0005307438121172742, 0.04167906795469606, 0.021018512121805864, 0.02112535888144255, -0.01046646104137449, 0.011118860012550446, 0.00595447524041227]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000562976
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000562976
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13471.1
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.14166
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap4.61905
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.07207e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.23329e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.09036e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.09203e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[191, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10440800466757437, 0.0004897385731154763, 0.041709998797365026, 0.020968791460222194, 0.02115169342389991, -0.01050516797537088, 0.011086695697565345, 0.0059628936395200805]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000556079
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000556079
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13470.4
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.18593
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap5.33319
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.87988e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse3.08054e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.87758e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.90543e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[188, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10440885111234442, 0.0005088506794909037, 0.04170583373049965, 0.020963329022450784, 0.02114586138641041, -0.01049117010584202, 0.011080375611592384, 0.005943160483580588]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000556175
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000556175
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13470
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.17132
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap5.68758
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.29988e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.55475e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.29433e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.66974e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14137.8
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14126.2
best_by_coupling_flag.0.objective_with_gain_penalty-14126.2
best_by_coupling_flag.0.objective_without_coupling_penalty-14126.2
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14126.2
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 0]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14139.8
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14128.2
best_by_coupling_flag.1.objective_with_gain_penalty-14128.2
best_by_coupling_flag.1.objective_without_coupling_penalty-14128.2
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14127.5
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty-2.06841
coupling_score_gap_eta1_minus_eta0_with_new_penalty-1.37526
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C5 非定常平均 / 入力seed 0

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.16092
[0].acoustic.peak0.502686
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.118
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.503
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.157683
[1].acoustic.peak0.506201
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz201.151
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz120.738
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.173245
[0].acoustic.peak0.590823
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz192.569
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.917
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168579
[0].acoustic.peak0.521323
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz196.765
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00509065
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00509065
[0].mechanism.mean_error.mse.all4.03567e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.03567e-06
[0].mechanism.mean_error.mae.all0.00119973
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00119973
[0].mechanism.mean_error.bias.all0.000156195
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000156195
[0].mechanism.variance_error.mse.all7.36217e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside7.36217e-12
[0].mechanism.variance_error.mae.all2.71333e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside2.71333e-06
[0].mechanism.variance_error.bias.all-2.71333e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-2.71333e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.903
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.16895
[1].acoustic.peak0.528368
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.212
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00509065
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00509065
[1].mechanism.mean_error.mse.all4.03567e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.03567e-06
[1].mechanism.mean_error.mae.all0.00119973
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00119973
[1].mechanism.mean_error.bias.all0.000156195
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000156195
[1].mechanism.variance_error.mse.all7.36217e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside7.36217e-12
[1].mechanism.variance_error.mae.all2.71333e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside2.71333e-06
[1].mechanism.variance_error.bias.all-2.71333e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-2.71333e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.94
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168579
[0].acoustic.peak0.521323
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz196.765
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00509065
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00509065
[0].mechanism.mean_error.mse.all4.03567e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside4.03567e-06
[0].mechanism.mean_error.mae.all0.00119973
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00119973
[0].mechanism.mean_error.bias.all0.000156195
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000156195
[0].mechanism.variance_error.mse.all7.36217e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside7.36217e-12
[0].mechanism.variance_error.mae.all2.71333e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside2.71333e-06
[0].mechanism.variance_error.bias.all-2.71333e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-2.71333e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.903
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.16895
[1].acoustic.peak0.528368
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.212
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00509065
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00509065
[1].mechanism.mean_error.mse.all4.03567e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside4.03567e-06
[1].mechanism.mean_error.mae.all0.00119973
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00119973
[1].mechanism.mean_error.bias.all0.000156195
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000156195
[1].mechanism.variance_error.mse.all7.36217e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside7.36217e-12
[1].mechanism.variance_error.mae.all2.71333e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside2.71333e-06
[1].mechanism.variance_error.bias.all-2.71333e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-2.71333e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.94
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151452
[0].acoustic.peak0.490856
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz214.612
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz141.052
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151025
[1].acoustic.peak0.458794
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz217.761
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz140.758
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.167145
[0].acoustic.peak0.531316
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.588
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.898
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168345
[0].acoustic.peak0.536411
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.785
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00813418
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00813418
[0].mechanism.mean_error.mse.all6.45398e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.45398e-06
[0].mechanism.mean_error.mae.all0.00124252
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00124252
[0].mechanism.mean_error.bias.all-0.000191544
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-0.000191544
[0].mechanism.variance_error.mse.all7.36217e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside7.36217e-12
[0].mechanism.variance_error.mae.all2.71333e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside2.71333e-06
[0].mechanism.variance_error.bias.all-2.71333e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-2.71333e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.029
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168517
[1].acoustic.peak0.5449
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz221.061
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00813418
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00813418
[1].mechanism.mean_error.mse.all6.45398e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.45398e-06
[1].mechanism.mean_error.mae.all0.00124252
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00124252
[1].mechanism.mean_error.bias.all-0.000191544
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-0.000191544
[1].mechanism.variance_error.mse.all7.36217e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside7.36217e-12
[1].mechanism.variance_error.mae.all2.71333e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside2.71333e-06
[1].mechanism.variance_error.bias.all-2.71333e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-2.71333e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.98
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168345
[0].acoustic.peak0.536411
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.785
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00813418
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00813418
[0].mechanism.mean_error.mse.all6.45398e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.45398e-06
[0].mechanism.mean_error.mae.all0.00124252
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00124252
[0].mechanism.mean_error.bias.all-0.000191544
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-0.000191544
[0].mechanism.variance_error.mse.all7.36217e-12
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside7.36217e-12
[0].mechanism.variance_error.mae.all2.71333e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside2.71333e-06
[0].mechanism.variance_error.bias.all-2.71333e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-2.71333e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.029
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168517
[1].acoustic.peak0.5449
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz221.061
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00813418
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00813418
[1].mechanism.mean_error.mse.all6.45398e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.45398e-06
[1].mechanism.mean_error.mae.all0.00124252
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00124252
[1].mechanism.mean_error.bias.all-0.000191544
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-0.000191544
[1].mechanism.variance_error.mse.all7.36217e-12
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside7.36217e-12
[1].mechanism.variance_error.mae.all2.71333e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside2.71333e-06
[1].mechanism.variance_error.bias.all-2.71333e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-2.71333e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.98
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12657771212051658, 0.00031239990458107437, 0.04927441901145912, 0.02495305990554814, 0.025341458212106805, -0.012795562490497767, 0.013470193668541885, 0.005682900176954743]
selected_unquantized.sigma2_raw0.000397287
selected_unquantized.sigma20.000397287
selected_unquantized.objective-13989.6
selected_unquantized.condition_number1.0434
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13989.6
direct_rss1.62729
rss_difference5.88418e-14
sigma2_floor1.28405e-12
noise_near_floor_indeterminateFalse
max_condition_number12.7274
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12657771212051658, 0.00031239990458107437, 0.04927441901145912, 0.02495305990554814, 0.025341458212106805, -0.012795562490497767, 0.013470193668541885, 0.005682900176954743]
top_candidates[0].sigma2_raw0.000397287
top_candidates[0].sigma20.000397287
top_candidates[0].objective-13989.6
top_candidates[0].condition_number1.0434
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[190, 0]]
top_candidates[1].mean[0.1265724719833272, 0.00030593090384013223, 0.04927768379759223, 0.024958121922347882, 0.025343308637612957, -0.01280570177549372, 0.013461831584209251, 0.005680126830408242]
top_candidates[1].sigma2_raw0.000393328
top_candidates[1].sigma20.000393328
top_candidates[1].objective-13981.2
top_candidates[1].condition_number1.0426
top_candidates[1].objective_gap8.41492
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.82387e-10
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.24378e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.81345e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.24378e-09
top_candidates[2].q_index0
top_candidates[2].events[[193, 0]]
top_candidates[2].mean[0.12657703992640382, 0.00030706698545910244, 0.0492747127073736, 0.024952520903706116, 0.025341518481535354, -0.012805472345567693, 0.013458069348859795, 0.005674775499118834]
top_candidates[2].sigma2_raw0.000393329
top_candidates[2].sigma20.000393329
top_candidates[2].objective-13981.2
top_candidates[2].condition_number1.04436
top_candidates[2].objective_gap8.41881
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.11323e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.24379e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.10875e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.24379e-09
top_candidates[3].q_index0
top_candidates[3].events[[195, 0]]
top_candidates[3].mean[0.12657842218642684, 0.0003102946554689611, 0.049276079798191846, 0.024953111153581026, 0.02534445863968769, -0.012801618583378622, 0.013460849822672075, 0.005675257067816499]
top_candidates[3].sigma2_raw0.00039502
top_candidates[3].sigma20.00039502
top_candidates[3].objective-13981
top_candidates[3].condition_number1.04481
top_candidates[3].objective_gap8.55429
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.23671e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.32014e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.23867e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.32014e-10
top_candidates[4].q_index0
top_candidates[4].events[[280, 0]]
top_candidates[4].mean[0.12654848083309678, 0.00032014792777851743, 0.04932225983724237, 0.02494162045995159, 0.025316066123518534, -0.012748986454445877, 0.013461763021284951, 0.00566708190115787]
top_candidates[4].sigma2_raw0.000393415
top_candidates[4].sigma20.000393415
top_candidates[4].objective-13980.7
top_candidates[4].condition_number1.03955
top_candidates[4].objective_gap8.86922
top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.06471e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.24442e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.05144e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.24442e-09
top_candidates[5].q_index0
top_candidates[5].events[[384, 0]]
top_candidates[5].mean[0.12656085335081085, 0.0003323445301475258, 0.04927250288970477, 0.024934358274091357, 0.02534657960630935, -0.012786537192622394, 0.013468121283305262, 0.005670741478336919]
top_candidates[5].sigma2_raw0.000395197
top_candidates[5].sigma20.000395197
top_candidates[5].objective-13980.1
top_candidates[5].condition_number1.04508
top_candidates[5].objective_gap9.47213
top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.12051e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.3259e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.10739e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.3259e-10
top_candidates[6].q_index0
top_candidates[6].events[[279, 0]]
top_candidates[6].mean[0.12659194109393498, 0.00031695513278188423, 0.04928583816475762, 0.02496859525300184, 0.025338905258187803, -0.012774983110585312, 0.01345601459328068, 0.005695087116213249]
top_candidates[6].sigma2_raw0.000395205
top_candidates[6].sigma20.000395205
top_candidates[6].objective-13980.1
top_candidates[6].condition_number1.04344
top_candidates[6].objective_gap9.51391
top_candidates[6].edit_difference_from_selected.120.0.mean_mse8.49441e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.32618e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse8.50574e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.32618e-10
top_candidates[7].q_index0
top_candidates[7].events[[198, 0]]
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.68131e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.24555e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index1
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13989.6
mean_gain_prepass.rss1.62729
mean_gain_prepass.sigma20.000397287
mean_gain_prepass.direct_rss1.62729
mean_gain_prepass.rss_difference-5.4623e-14
mean_gain_prepass.direct_objective-13989.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.28405e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
gain_penalty_nats11.624
final_objective-13978
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000393566
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000393566
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13979.9
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.04335
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap9.65616
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.67967e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.24555e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.68131e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.24555e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12657771212051658, 0.00031239990458107437, 0.04927441901145912, 0.02495305990554814, 0.025341458212106805, -0.012795562490497767, 0.013470193668541885, 0.005682900176954743]
selected_unquantized.sigma2_raw0.000397287
selected_unquantized.sigma20.000397287
selected_unquantized.objective-13989.6
selected_unquantized.condition_number1.0434
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13989.6
direct_rss1.62729
rss_difference5.88418e-14
sigma2_floor1.28405e-12
noise_near_floor_indeterminateFalse
max_condition_number12.7274
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12657771212051658, 0.00031239990458107437, 0.04927441901145912, 0.02495305990554814, 0.025341458212106805, -0.012795562490497767, 0.013470193668541885, 0.005682900176954743]
top_candidates[0].sigma2_raw0.000397287
top_candidates[0].sigma20.000397287
top_candidates[0].objective-13989.6
top_candidates[0].condition_number1.0434
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[190, 0]]
top_candidates[1].mean[0.1265724719833272, 0.00030593090384013223, 0.04927768379759223, 0.024958121922347882, 0.025343308637612957, -0.01280570177549372, 0.013461831584209251, 0.005680126830408242]
top_candidates[1].sigma2_raw0.000393328
top_candidates[1].sigma20.000393328
top_candidates[1].objective-13981.2
top_candidates[1].condition_number1.0426
top_candidates[1].objective_gap8.41492
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.82387e-10
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.24378e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.81345e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.24378e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[193, 0]]
top_candidates[2].mean[0.12657703992640382, 0.00030706698545910244, 0.0492747127073736, 0.024952520903706116, 0.025341518481535354, -0.012805472345567693, 0.013458069348859795, 0.005674775499118834]
top_candidates[2].sigma2_raw0.000393329
top_candidates[2].sigma20.000393329
top_candidates[2].objective-13981.2
top_candidates[2].condition_number1.04436
top_candidates[2].objective_gap8.41881
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.11323e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.24379e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.10875e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.24379e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[195, 0]]
top_candidates[3].mean[0.12657842218642684, 0.0003102946554689611, 0.049276079798191846, 0.024953111153581026, 0.02534445863968769, -0.012801618583378622, 0.013460849822672075, 0.005675257067816499]
top_candidates[3].sigma2_raw0.00039502
top_candidates[3].sigma20.00039502
top_candidates[3].objective-13981
top_candidates[3].condition_number1.04481
top_candidates[3].objective_gap8.55429
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.23671e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.32014e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.23867e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.32014e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[280, 0]]
top_candidates[4].mean[0.12654848083309678, 0.00032014792777851743, 0.04932225983724237, 0.02494162045995159, 0.025316066123518534, -0.012748986454445877, 0.013461763021284951, 0.00566708190115787]
top_candidates[4].sigma2_raw0.000393415
top_candidates[4].sigma20.000393415
top_candidates[4].objective-13980.7
top_candidates[4].condition_number1.03955
top_candidates[4].objective_gap8.86922
top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.06471e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.24442e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.05144e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.24442e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[384, 0]]
top_candidates[5].mean[0.12656085335081085, 0.0003323445301475258, 0.04927250288970477, 0.024934358274091357, 0.02534657960630935, -0.012786537192622394, 0.013468121283305262, 0.005670741478336919]
top_candidates[5].sigma2_raw0.000395197
top_candidates[5].sigma20.000395197
top_candidates[5].objective-13980.1
top_candidates[5].condition_number1.04508
top_candidates[5].objective_gap9.47213
top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.12051e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.3259e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.10739e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.3259e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[279, 0]]
top_candidates[6].mean[0.12659194109393498, 0.00031695513278188423, 0.04928583816475762, 0.02496859525300184, 0.025338905258187803, -0.012774983110585312, 0.01345601459328068, 0.005695087116213249]
top_candidates[6].sigma2_raw0.000395205
top_candidates[6].sigma20.000395205
top_candidates[6].objective-13980.1
top_candidates[6].condition_number1.04344
top_candidates[6].objective_gap9.51391
top_candidates[6].edit_difference_from_selected.120.0.mean_mse8.49441e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.32618e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse8.50574e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.32618e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[198, 0]]
top_candidates[7].mean[0.12658238911609265, 0.0003071602838764226, 0.049274115856557124, 0.024944308918688565, 0.025334237154750142, -0.012802566041920227, 0.013460311713678737, 0.005683784609962794]
top_candidates[7].sigma2_raw0.000395214
top_candidates[7].sigma20.000395214
top_candidates[7].objective-13980
top_candidates[7].condition_number1.04525
top_candidates[7].objective_gap9.55845
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.99961e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.32647e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.99877e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.32647e-10
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[283, 0]]
top_candidates[8].mean[0.12652094751116075, 0.0003242931372456033, 0.04933644505990339, 0.024917297817234032, 0.025295349297989492, -0.012748781569424673, 0.013487570871307187, 0.005657379615511136]
top_candidates[8].sigma2_raw0.000393563
top_candidates[8].sigma20.000393563
top_candidates[8].objective-13979.9
top_candidates[8].condition_number1.03457
top_candidates[8].objective_gap9.64075
top_candidates[8].edit_difference_from_selected.120.0.mean_mse8.68727e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.24553e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse8.6302e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.24553e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[277, 0]]
top_candidates[9].mean[0.12657749448857944, 0.00031758813079079827, 0.049302697400165, 0.02495923764500707, 0.02533081770450923, -0.012759059631022647, 0.013450475919484952, 0.0056818677277133195]
top_candidates[9].sigma2_raw0.000393566
top_candidates[9].sigma20.000393566
top_candidates[9].objective-13979.9
top_candidates[9].condition_number1.04335
top_candidates[9].objective_gap9.65616
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.67967e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.24555e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.68131e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.24555e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index1
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13989.6
mean_gain_prepass.rss1.62729
mean_gain_prepass.sigma20.000397287
mean_gain_prepass.direct_rss1.62729
mean_gain_prepass.rss_difference-5.4623e-14
mean_gain_prepass.direct_objective-13989.6
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.28405e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13978
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-10154.2
branch_diagnostics[0].event_penalty_nats0
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-10154.2
branch_diagnostics[0].objective_with_gain_penalty-10154.2
branch_diagnostics[0].objective_without_coupling_penalty-10154.2
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-10154.2
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12668131433567686, 0.0007600035782940039, 0.048638371510403795, 0.02440119756344888, 0.025328970996469174, -0.013078641748726506, 0.013477747783020355, 0.005689519282758828]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.0028718
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.0028718
branch_diagnostics[0].diagnostics.selected_unquantized.objective-10154.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-10154.2
branch_diagnostics[0].diagnostics.direct_rss11.7629
branch_diagnostics[0].diagnostics.rss_difference8.17124e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.28405e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1626
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1626
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1626
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1626
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1626
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1626
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1626
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1626
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1626
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1626
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
branch_diagnostics[0].diagnostics.candidate_counts[11].two1626
branch_diagnostics[0].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
branch_diagnostics[0].diagnostics.candidate_counts[12].one1737
branch_diagnostics[0].diagnostics.candidate_counts[12].two1626
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branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
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branch_diagnostics[3].diagnostics.candidate_counts[20].two1626
branch_diagnostics[3].diagnostics.candidate_counts[21].q_index22
branch_diagnostics[3].diagnostics.candidate_counts[21].zero0
branch_diagnostics[3].diagnostics.candidate_counts[21].one1737
branch_diagnostics[3].diagnostics.candidate_counts[21].two1626
branch_diagnostics[3].diagnostics.candidate_counts[22].q_index23
branch_diagnostics[3].diagnostics.candidate_counts[22].zero0
branch_diagnostics[3].diagnostics.candidate_counts[22].one1737
branch_diagnostics[3].diagnostics.candidate_counts[22].two1626
branch_diagnostics[3].diagnostics.candidate_counts[23].q_index24
branch_diagnostics[3].diagnostics.candidate_counts[23].zero0
branch_diagnostics[3].diagnostics.candidate_counts[23].one1737
branch_diagnostics[3].diagnostics.candidate_counts[23].two1626
branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index8
branch_diagnostics[3].diagnostics.top_candidates[0].events[[280, 0]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.12666080152207213, 0.00020676374145386003, 0.04932232666513048, 0.02494112354549479, 0.025316190372599526, -0.012748512023613923, 0.013534469440022883, 0.005742447323224071]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000411703
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000411703
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13940.1
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number1.6867
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index8
branch_diagnostics[3].diagnostics.top_candidates[1].events[[283, 0]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.12663256923834573, 0.00021182667856355097, 0.049336227076196275, 0.024916934959514102, 0.025295307021850705, -0.012748388802703226, 0.01355924383263197, 0.005733228726406779]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000411713
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000411713
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13940.1
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number1.68419
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap0.0519798
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.72466e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.33524e-10
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.71238e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.57407e-10
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index8
branch_diagnostics[3].diagnostics.top_candidates[2].events[[384, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.12667500099750234, 0.00021719071921581781, 0.0492726071731438, 0.02493463078041974, 0.025346123501270735, -0.012786470339936743, 0.013541271335502331, 0.005742045015454255]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.000413553
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.000413553
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13939.6
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.67097
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap0.529709
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse3.26136e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.28546e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse3.25498e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse2.57223e-09
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index8
branch_diagnostics[3].diagnostics.top_candidates[3].events[[561, 0]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.12668584303521216, 0.0002110849624119349, 0.049262228902798536, 0.024936819254851753, 0.025369413083458428, -0.012795145522896217, 0.013505959159689534, 0.005786769924131643]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000413732
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000413732
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13938.7
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.66779
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap1.41962
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.5927e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.28437e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.55883e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse3.14332e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index8
branch_diagnostics[3].diagnostics.top_candidates[4].events[[285, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.12664833399329423, 0.00020873367865593907, 0.049311187882768955, 0.024928779268452595, 0.025322352429151464, -0.01275962840140479, 0.013537149626195774, 0.005724488244272542]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000413809
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000413809
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13938.3
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.68574
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap1.79953
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse5.74715e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.19288e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse5.74962e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.1241e-09
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index8
branch_diagnostics[3].diagnostics.top_candidates[5].events[[278, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.12663918149174075, 0.00022003062420379167, 0.04933740313084704, 0.024916983121509383, 0.025271565651659472, -0.012716144735485832, 0.013578143344389846, 0.005760369295050083]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.0004086
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.0004086
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13938.3
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.70358
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap1.81509
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.24615e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.64588e-10
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.21583e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse7.34751e-10
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index8
branch_diagnostics[3].diagnostics.top_candidates[6].events[[558, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.12668153422983625, 0.00020991444983532913, 0.049270273281611106, 0.0249336601161289, 0.025360628778742074, -0.012785533116090837, 0.013516646230338004, 0.0057684798577177475]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000413814
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000413814
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13938.3
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.67697
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap1.82609
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.74932e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.31518e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.72795e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.85924e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index8
branch_diagnostics[3].diagnostics.top_candidates[7].events[[382, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.12667459602344547, 0.0002333130358854429, 0.04927250829166096, 0.024936277727954405, 0.02533394666469194, -0.012784653893239772, 0.013527105890839365, 0.005737187476353292]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000412113
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000412113
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13938.1
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.66128
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap2.03996
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.19188e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.72357e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.18882e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse3.24217e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index8
branch_diagnostics[3].diagnostics.top_candidates[8].events[[408, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.12670343067628215, 0.00015018437240938502, 0.0493096982560989, 0.024958493017285466, 0.02533471158579647, -0.012765389258478444, 0.01351592702062547, 0.005754173719237226]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000413861
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000413861
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13938.1
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.67697
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap2.0565
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse4.13172e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.3153e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.11489e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.8593e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index8
branch_diagnostics[3].diagnostics.top_candidates[9].events[[135, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.12668810759070198, 0.00019380297154830388, 0.04928296148604694, 0.024951124201185105, 0.025334974894049504, -0.012788322394902952, 0.013541903181695517, 0.005749448088179839]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000413867
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000413867
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13938.1
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.69926
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap2.08757
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.89206e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.27591e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.88196e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse3.14426e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode1
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode1
best_by_coupling_flag.0.gain.center_index48
best_by_coupling_flag.0.gain.width_index1
best_by_coupling_flag.0.gain.alpha_index4
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13989.6
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats11.624
best_by_coupling_flag.0.objective_without_gain_penalty-13989.6
best_by_coupling_flag.0.objective_with_gain_penalty-13978
best_by_coupling_flag.0.objective_without_coupling_penalty-13978
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13978
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode1
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode1
best_by_coupling_flag.1.gain.center_index48
best_by_coupling_flag.1.gain.width_index1
best_by_coupling_flag.1.gain.alpha_index4
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13951.8
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats11.624
best_by_coupling_flag.1.objective_without_gain_penalty-13940.1
best_by_coupling_flag.1.objective_with_gain_penalty-13928.5
best_by_coupling_flag.1.objective_without_coupling_penalty-13928.5
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13927.8
best_by_coupling_flag.1.q_index8
best_by_coupling_flag.1.events[[280, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty49.4479
coupling_score_gap_eta1_minus_eta0_with_new_penalty50.141
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue
追加18入力seedの全結果

C0 一定雑音 / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.17828
[0].acoustic.peak0.612858
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz167.07
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz117.78
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.221434
[1].acoustic.peak0.651078
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz148.432
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz117.532
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.157205
[0].acoustic.peak0.395407
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.583
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.908
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152562
[0].acoustic.peak0.394683
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.114
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000920488
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000920488
[0].mechanism.mean_error.mse.all6.02339e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.02339e-07
[0].mechanism.mean_error.mae.all0.000633654
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000633654
[0].mechanism.mean_error.bias.all-2.53905e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-2.53905e-06
[0].mechanism.variance_error.mse.all1.24843e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.24843e-10
[0].mechanism.variance_error.mae.all1.11733e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.11733e-05
[0].mechanism.variance_error.bias.all1.11733e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.11733e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.998
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151663
[1].acoustic.peak0.374832
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.049
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000920488
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000920488
[1].mechanism.mean_error.mse.all6.02339e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.02339e-07
[1].mechanism.mean_error.mae.all0.000633654
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000633654
[1].mechanism.mean_error.bias.all-2.53905e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-2.53905e-06
[1].mechanism.variance_error.mse.all1.24843e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.24843e-10
[1].mechanism.variance_error.mae.all1.11733e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.11733e-05
[1].mechanism.variance_error.bias.all1.11733e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.11733e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.92
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152562
[0].acoustic.peak0.394683
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.114
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000920488
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000920488
[0].mechanism.mean_error.mse.all6.02339e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.02339e-07
[0].mechanism.mean_error.mae.all0.000633654
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000633654
[0].mechanism.mean_error.bias.all-2.53905e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-2.53905e-06
[0].mechanism.variance_error.mse.all1.24843e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.24843e-10
[0].mechanism.variance_error.mae.all1.11733e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.11733e-05
[0].mechanism.variance_error.bias.all1.11733e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.11733e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.998
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151663
[1].acoustic.peak0.374832
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.049
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000920488
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000920488
[1].mechanism.mean_error.mse.all6.02339e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.02339e-07
[1].mechanism.mean_error.mae.all0.000633654
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000633654
[1].mechanism.mean_error.bias.all-2.53905e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-2.53905e-06
[1].mechanism.variance_error.mse.all1.24843e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.24843e-10
[1].mechanism.variance_error.mae.all1.11733e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.11733e-05
[1].mechanism.variance_error.bias.all1.11733e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.11733e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.92
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.178835
[0].acoustic.peak0.606571
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz166.797
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames23
[0].output_f0.positive_median_hz112.245
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.228952
[1].acoustic.peak0.649255
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz152.03
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz118.281
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151455
[0].acoustic.peak0.361616
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.508
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.791
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15192
[0].acoustic.peak0.403854
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz233.021
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000919588
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000919588
[0].mechanism.mean_error.mse.all6.01599e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.01599e-07
[0].mechanism.mean_error.mae.all0.00063327
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00063327
[0].mechanism.mean_error.bias.all-3.13165e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-3.13165e-06
[0].mechanism.variance_error.mse.all1.24843e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.24843e-10
[0].mechanism.variance_error.mae.all1.11733e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.11733e-05
[0].mechanism.variance_error.bias.all1.11733e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.11733e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.965
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151398
[1].acoustic.peak0.377955
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.227
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000919588
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000919588
[1].mechanism.mean_error.mse.all6.01599e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.01599e-07
[1].mechanism.mean_error.mae.all0.00063327
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00063327
[1].mechanism.mean_error.bias.all-3.13165e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-3.13165e-06
[1].mechanism.variance_error.mse.all1.24843e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.24843e-10
[1].mechanism.variance_error.mae.all1.11733e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.11733e-05
[1].mechanism.variance_error.bias.all1.11733e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.11733e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.999
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15192
[0].acoustic.peak0.403854
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz233.021
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000919588
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000919588
[0].mechanism.mean_error.mse.all6.01599e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.01599e-07
[0].mechanism.mean_error.mae.all0.00063327
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00063327
[0].mechanism.mean_error.bias.all-3.13165e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-3.13165e-06
[0].mechanism.variance_error.mse.all1.24843e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.24843e-10
[0].mechanism.variance_error.mae.all1.11733e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.11733e-05
[0].mechanism.variance_error.bias.all1.11733e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.11733e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.965
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151398
[1].acoustic.peak0.377955
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.227
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000919588
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000919588
[1].mechanism.mean_error.mse.all6.01599e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.01599e-07
[1].mechanism.mean_error.mae.all0.00063327
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00063327
[1].mechanism.mean_error.bias.all-3.13165e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-3.13165e-06
[1].mechanism.variance_error.mse.all1.24843e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.24843e-10
[1].mechanism.variance_error.mae.all1.11733e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.11733e-05
[1].mechanism.variance_error.bias.all1.11733e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.11733e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.999
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12617216472164272, 0.000134308815502469, 0.05107002161869276, 0.02467083246862941, 0.025082715045860782, -0.012762833100666185, 0.012895629389222564, 0.006748643434813448]
selected_unquantized.sigma2_raw0.000411173
selected_unquantized.sigma20.000411173
selected_unquantized.objective-13919.2
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13919.2
direct_rss1.68417
rss_difference4.01901e-14
sigma2_floor1.04762e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
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penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
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mean_gain_prepass.rss2.29474
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mean_gain_prepass.direct_rss2.29474
mean_gain_prepass.rss_difference4.70735e-14
mean_gain_prepass.direct_objective-13285.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04762e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13919.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.31511e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index0
branch_diagnostics[1].diagnostics.top_candidates[4].events[[0, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10451840536147936, 0.00012786143151249783, 0.04238214267699527, 0.020641752909862917, 0.020750566220313318, -0.010386795395476801, 0.010721983365013227, 0.005715781896255042]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000557219
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000557219
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13276.5
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.03346
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap10.6196
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.59441e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.56529e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.59021e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.71716e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index2
branch_diagnostics[1].diagnostics.top_candidates[5].events[[0, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10452067215186568, 0.00012204117242442425, 0.042388517319688845, 0.020642234349448698, 0.02075504230018442, -0.010386369452568208, 0.010762056176335704, 0.005763536196622962]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.00057055
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.00057055
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13276.4
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.6835
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.6584
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.30136e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.31671e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.30049e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.32338e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index2
branch_diagnostics[1].diagnostics.top_candidates[6].events[[291, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10459535739225409, 7.69472017860355e-05, 0.04244804144193741, 0.020631444949483393, 0.02082624819339134, -0.010439939831618282, 0.01074134221825022, 0.005719636721897401]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000569842
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000569842
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13275.6
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.65106
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap11.4673
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.57475e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.32109e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.56773e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.31141e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index2
branch_diagnostics[1].diagnostics.top_candidates[7].events[[294, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10459915107601438, 7.975832086848549e-05, 0.04245503807836024, 0.020609922409354376, 0.020795290947379873, -0.010434039364440012, 0.010755248866138246, 0.005727755250544186]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000570061
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000570061
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13275.6
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.66358
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap11.5321
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse6.63041e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.32041e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse6.61692e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.31641e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index2
branch_diagnostics[1].diagnostics.top_candidates[8].events[[487, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10457203634777701, 8.803924731017192e-05, 0.042468343599032704, 0.020611299266804172, 0.020811318857384863, -0.010431939653687876, 0.010758354094137909, 0.005733933903359531]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000567289
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000567289
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13275.4
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.64817
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap11.6784
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.26827e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.60272e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.26698e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.59715e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[489, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10458973635752696, 8.050854396837659e-05, 0.04246482747078146, 0.02062789321044744, 0.020794216629871642, -0.010444408319061906, 0.01078733990170007, 0.005742420828585511]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000570003
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000570003
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13275.3
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.65758
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap11.7515
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse9.09997e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.32089e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse9.05532e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.3191e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12617216472164272, 0.000134308815502469, 0.05107002161869276, 0.02467083246862941, 0.025082715045860782, -0.012762833100666185, 0.012895629389222564, 0.006748643434813448]
selected_unquantized.sigma2_raw0.000411173
selected_unquantized.sigma20.000411173
selected_unquantized.objective-13919.2
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13919.2
direct_rss1.68417
rss_difference4.01901e-14
sigma2_floor1.04762e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12617216472164272, 0.000134308815502469, 0.05107002161869276, 0.02467083246862941, 0.025082715045860782, -0.012762833100666185, 0.012895629389222564, 0.006748643434813448]
top_candidates[0].sigma2_raw0.000411173
top_candidates[0].sigma20.000411173
top_candidates[0].objective-13919.2
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[486, 0]]
top_candidates[1].mean[0.12613124570730383, 0.00016000400938482096, 0.05108409296223485, 0.02463393137537274, 0.02509775889666987, -0.012734107926718351, 0.01286364452431278, 0.0067446518870044195]
top_candidates[1].sigma2_raw0.000408571
top_candidates[1].sigma20.000408571
top_candidates[1].objective-13912
top_candidates[1].condition_number1.02979
top_candidates[1].objective_gap7.27084
top_candidates[1].edit_difference_from_selected.120.0.mean_mse3.01047e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.76222e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse3.00249e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.76222e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[487, 0]]
top_candidates[2].mean[0.12611956296006738, 0.00013439336110500512, 0.05108805622260823, 0.02466571206698043, 0.0250964006892595, -0.01275672378662639, 0.012868274837481486, 0.006746230298666382]
top_candidates[2].sigma2_raw0.000406911
top_candidates[2].sigma20.000406911
top_candidates[2].objective-13911.6
top_candidates[2].condition_number1.0354
top_candidates[2].objective_gap7.58501
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.05602e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.33105e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.05345e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.33105e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[484, 0]]
top_candidates[3].mean[0.1261169208705153, 0.0001557997680075967, 0.05108299631269894, 0.02464574697436966, 0.025100827654726893, -0.012748146997055237, 0.012867683358371408, 0.00674543925104274]
top_candidates[3].sigma2_raw0.000406981
top_candidates[3].sigma20.000406981
top_candidates[3].objective-13911.3
top_candidates[3].condition_number1.0288
top_candidates[3].objective_gap7.9355
top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.83379e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.33155e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.83006e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.33155e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[51, 0]]
top_candidates[4].mean[0.1261494251240896, 0.0001532857749493907, 0.051040046793926146, 0.02470426826265975, 0.025044067565244285, -0.01272280012838972, 0.012850176949044338, 0.006786067601785428]
top_candidates[4].sigma2_raw0.000408934
top_candidates[4].sigma20.000408934
top_candidates[4].objective-13910.1
top_candidates[4].condition_number1.03773
top_candidates[4].objective_gap9.08522
top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.68559e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.77317e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.68149e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.77317e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[534, 0]]
top_candidates[5].mean[0.12613553736194297, 0.000166990958356853, 0.05107274946259478, 0.0246243076306948, 0.02511353036882165, -0.012733908171805643, 0.012860585398500985, 0.006755847238441528]
top_candidates[5].sigma2_raw0.000408937
top_candidates[5].sigma20.000408937
top_candidates[5].objective-13910.1
top_candidates[5].condition_number1.03
top_candidates[5].objective_gap9.10435
top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.85016e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.7733e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.83747e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.7733e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[357, 0]]
top_candidates[6].mean[0.126178947015266, 0.00012058820043517577, 0.05107289091534456, 0.024679079116161, 0.02507902216836329, -0.012770579351741715, 0.012909047386091974, 0.006752104711873645]
top_candidates[6].sigma2_raw0.000408991
top_candidates[6].sigma20.000408991
top_candidates[6].objective-13909.9
top_candidates[6].condition_number1.02959
top_candidates[6].objective_gap9.37076
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.89352e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.77514e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.88882e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.77514e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[481, 0]]
top_candidates[7].mean[0.12612541870102617, 0.00015815456847078916, 0.05107263139710966, 0.02463313224375729, 0.02510170744667144, -0.012755551008230018, 0.012881162896659384, 0.006741936671214946]
top_candidates[7].sigma2_raw0.000407354
top_candidates[7].sigma20.000407354
top_candidates[7].objective-13909.4
top_candidates[7].condition_number1.02623
top_candidates[7].objective_gap9.80996
top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.43993e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.33439e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.43366e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.33439e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[81, 0]]
top_candidates[8].mean[0.12617663322779285, 0.00015581813924103684, 0.05104489936235168, 0.024682566370475608, 0.02506100148959564, -0.012790809646191491, 0.012921766852628075, 0.0067157349923958175]
top_candidates[8].sigma2_raw0.000409086
top_candidates[8].sigma20.000409086
top_candidates[8].objective-13909.4
top_candidates[8].condition_number1.02997
top_candidates[8].objective_gap9.84959
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.152e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.77859e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.14404e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.77859e-10
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[60, 0]]
top_candidates[9].mean[0.12617308562615012, 0.00014118515121904515, 0.0510620330444387, 0.02466554241594609, 0.02509077814697276, -0.012763168977603481, 0.012892525025830534, 0.006748800979899868]
top_candidates[9].sigma2_raw0.000409139
top_candidates[9].sigma20.000409139
top_candidates[9].objective-13909.1
top_candidates[9].condition_number1.02984
top_candidates[9].objective_gap10.1161
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.08289e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.78059e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.07832e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.78059e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13285.7
mean_gain_prepass.rss2.29474
mean_gain_prepass.sigma20.000560238
mean_gain_prepass.direct_rss2.29474
mean_gain_prepass.rss_difference4.70735e-14
mean_gain_prepass.direct_objective-13285.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04762e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13919.2
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-13919.2
branch_diagnostics[0].event_penalty_nats0
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-13919.2
branch_diagnostics[0].objective_with_gain_penalty-13919.2
branch_diagnostics[0].objective_without_coupling_penalty-13919.2
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-13919.2
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index0
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12617216472164272, 0.000134308815502469, 0.05107002161869276, 0.02467083246862941, 0.025082715045860782, -0.012762833100666185, 0.012895629389222564, 0.006748643434813448]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000411173
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000411173
branch_diagnostics[0].diagnostics.selected_unquantized.objective-13919.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number1.03037
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-13919.2
branch_diagnostics[0].diagnostics.direct_rss1.68417
branch_diagnostics[0].diagnostics.rss_difference4.01901e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.04762e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1626
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
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branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[4].two1626
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[19].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[0].diagnostics.candidate_counts[20].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[0].diagnostics.candidate_counts[21].zero1
branch_diagnostics[0].diagnostics.candidate_counts[21].one1737
branch_diagnostics[0].diagnostics.candidate_counts[21].two1626
branch_diagnostics[0].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[0].diagnostics.candidate_counts[22].zero1
branch_diagnostics[0].diagnostics.candidate_counts[22].one1737
branch_diagnostics[0].diagnostics.candidate_counts[22].two1626
branch_diagnostics[0].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[0].diagnostics.candidate_counts[23].zero1
branch_diagnostics[0].diagnostics.candidate_counts[23].one1737
branch_diagnostics[0].diagnostics.candidate_counts[23].two1626
branch_diagnostics[0].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[0].diagnostics.candidate_counts[24].zero1
branch_diagnostics[0].diagnostics.candidate_counts[24].one1737
branch_diagnostics[0].diagnostics.candidate_counts[24].two1626
branch_diagnostics[0].diagnostics.top_candidates[0].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[0].q_index0
branch_diagnostics[0].diagnostics.top_candidates[0].events[]
branch_diagnostics[0].diagnostics.top_candidates[0].mean[0.12617216472164272, 0.000134308815502469, 0.05107002161869276, 0.02467083246862941, 0.025082715045860782, -0.012762833100666185, 0.012895629389222564, 0.006748643434813448]
branch_diagnostics[0].diagnostics.top_candidates[0].sigma2_raw0.000411173
branch_diagnostics[0].diagnostics.top_candidates[0].sigma20.000411173
branch_diagnostics[0].diagnostics.top_candidates[0].objective-13919.2
branch_diagnostics[0].diagnostics.top_candidates[0].condition_number1.03037
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branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.top_candidates[1].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[1].q_index0
branch_diagnostics[0].diagnostics.top_candidates[1].events[[486, 0]]
branch_diagnostics[0].diagnostics.top_candidates[1].mean[0.12613124570730383, 0.00016000400938482096, 0.05108409296223485, 0.02463393137537274, 0.02509775889666987, -0.012734107926718351, 0.01286364452431278, 0.0067446518870044195]
branch_diagnostics[0].diagnostics.top_candidates[1].sigma2_raw0.000408571
branch_diagnostics[0].diagnostics.top_candidates[1].sigma20.000408571
branch_diagnostics[0].diagnostics.top_candidates[1].objective-13912
branch_diagnostics[0].diagnostics.top_candidates[1].condition_number1.02979
branch_diagnostics[0].diagnostics.top_candidates[1].objective_gap7.27084
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse3.01047e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.76222e-10
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse3.00249e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.76222e-10
branch_diagnostics[0].diagnostics.top_candidates[2].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[2].q_index0
branch_diagnostics[0].diagnostics.top_candidates[2].events[[487, 0]]
branch_diagnostics[0].diagnostics.top_candidates[2].mean[0.12611956296006738, 0.00013439336110500512, 0.05108805622260823, 0.02466571206698043, 0.0250964006892595, -0.01275672378662639, 0.012868274837481486, 0.006746230298666382]
branch_diagnostics[0].diagnostics.top_candidates[2].sigma2_raw0.000406911
branch_diagnostics[0].diagnostics.top_candidates[2].sigma20.000406911
branch_diagnostics[0].diagnostics.top_candidates[2].objective-13911.6
branch_diagnostics[0].diagnostics.top_candidates[2].condition_number1.0354
branch_diagnostics[0].diagnostics.top_candidates[2].objective_gap7.58501
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.05602e-09
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.33105e-09
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.05345e-09
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.33105e-09
branch_diagnostics[0].diagnostics.top_candidates[3].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[3].q_index0
branch_diagnostics[0].diagnostics.top_candidates[3].events[[484, 0]]
branch_diagnostics[0].diagnostics.top_candidates[3].mean[0.1261169208705153, 0.0001557997680075967, 0.05108299631269894, 0.02464574697436966, 0.025100827654726893, -0.012748146997055237, 0.012867683358371408, 0.00674543925104274]
branch_diagnostics[0].diagnostics.top_candidates[3].sigma2_raw0.000406981
branch_diagnostics[0].diagnostics.top_candidates[3].sigma20.000406981
branch_diagnostics[0].diagnostics.top_candidates[3].objective-13911.3
branch_diagnostics[0].diagnostics.top_candidates[3].condition_number1.0288
branch_diagnostics[0].diagnostics.top_candidates[3].objective_gap7.9355
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.83379e-09
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.33155e-09
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.83006e-09
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.33155e-09
branch_diagnostics[0].diagnostics.top_candidates[4].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[4].events[[51, 0]]
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branch_diagnostics[0].diagnostics.top_candidates[4].sigma2_raw0.000408934
branch_diagnostics[0].diagnostics.top_candidates[4].sigma20.000408934
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branch_diagnostics[0].diagnostics.top_candidates[4].objective_gap9.08522
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.68559e-09
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.77317e-10
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.68149e-09
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.77317e-10
branch_diagnostics[0].diagnostics.top_candidates[5].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[5].events[[534, 0]]
branch_diagnostics[0].diagnostics.top_candidates[5].mean[0.12613553736194297, 0.000166990958356853, 0.05107274946259478, 0.0246243076306948, 0.02511353036882165, -0.012733908171805643, 0.012860585398500985, 0.006755847238441528]
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branch_diagnostics[0].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.83747e-09
branch_diagnostics[0].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.7733e-10
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branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.77514e-10
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.88882e-10
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.77514e-10
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best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13884.6
best_by_coupling_flag.1.objective_with_gain_penalty-13884.6
best_by_coupling_flag.1.objective_without_coupling_penalty-13884.6
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13883.9
best_by_coupling_flag.1.q_index5
best_by_coupling_flag.1.events[[51, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty34.5923
coupling_score_gap_eta1_minus_eta0_with_new_penalty35.2855
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C0 一定雑音 / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172744
[0].acoustic.peak0.600747
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz168.119
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames40
[0].output_f0.positive_median_hz119.849
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.231895
[1].acoustic.peak0.696376
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz146.059
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.382
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156049
[0].acoustic.peak0.398527
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz201.783
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.988
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151071
[0].acoustic.peak0.38349
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.869
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000915632
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915632
[0].mechanism.mean_error.mse.all6.30468e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.30468e-07
[0].mechanism.mean_error.mae.all0.00070716
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00070716
[0].mechanism.mean_error.bias.all1.29691e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside1.29691e-06
[0].mechanism.variance_error.mse.all6.89801e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.89801e-11
[0].mechanism.variance_error.mae.all8.30543e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside8.30543e-06
[0].mechanism.variance_error.bias.all-8.30543e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-8.30543e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.917
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151206
[1].acoustic.peak0.364744
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.854
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000915632
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915632
[1].mechanism.mean_error.mse.all6.30468e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.30468e-07
[1].mechanism.mean_error.mae.all0.00070716
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00070716
[1].mechanism.mean_error.bias.all1.29691e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside1.29691e-06
[1].mechanism.variance_error.mse.all6.89801e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.89801e-11
[1].mechanism.variance_error.mae.all8.30543e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside8.30543e-06
[1].mechanism.variance_error.bias.all-8.30543e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-8.30543e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.918
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151071
[0].acoustic.peak0.38349
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.869
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000915632
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915632
[0].mechanism.mean_error.mse.all6.30468e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.30468e-07
[0].mechanism.mean_error.mae.all0.00070716
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00070716
[0].mechanism.mean_error.bias.all1.29691e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside1.29691e-06
[0].mechanism.variance_error.mse.all6.89801e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.89801e-11
[0].mechanism.variance_error.mae.all8.30543e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside8.30543e-06
[0].mechanism.variance_error.bias.all-8.30543e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-8.30543e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.917
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151206
[1].acoustic.peak0.364744
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.854
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000915632
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915632
[1].mechanism.mean_error.mse.all6.30468e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.30468e-07
[1].mechanism.mean_error.mae.all0.00070716
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00070716
[1].mechanism.mean_error.bias.all1.29691e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside1.29691e-06
[1].mechanism.variance_error.mse.all6.89801e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.89801e-11
[1].mechanism.variance_error.mae.all8.30543e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside8.30543e-06
[1].mechanism.variance_error.bias.all-8.30543e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-8.30543e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.918
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.175204
[0].acoustic.peak0.520577
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz168.212
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz119.878
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.239337
[1].acoustic.peak0.697795
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz150.712
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz118.952
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15011
[0].acoustic.peak0.355882
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz216.91
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.01
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150711
[0].acoustic.peak0.370538
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz234.666
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000915975
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915975
[0].mechanism.mean_error.mse.all6.30736e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.30736e-07
[0].mechanism.mean_error.mae.all0.000707382
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000707382
[0].mechanism.mean_error.bias.all3.55898e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside3.55898e-06
[0].mechanism.variance_error.mse.all6.89801e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.89801e-11
[0].mechanism.variance_error.mae.all8.30543e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside8.30543e-06
[0].mechanism.variance_error.bias.all-8.30543e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-8.30543e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.005
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150722
[1].acoustic.peak0.37753
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.352
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000915975
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915975
[1].mechanism.mean_error.mse.all6.30736e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.30736e-07
[1].mechanism.mean_error.mae.all0.000707382
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000707382
[1].mechanism.mean_error.bias.all3.55898e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside3.55898e-06
[1].mechanism.variance_error.mse.all6.89801e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.89801e-11
[1].mechanism.variance_error.mae.all8.30543e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside8.30543e-06
[1].mechanism.variance_error.bias.all-8.30543e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-8.30543e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.029
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150711
[0].acoustic.peak0.370538
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz234.666
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000915975
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915975
[0].mechanism.mean_error.mse.all6.30736e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.30736e-07
[0].mechanism.mean_error.mae.all0.000707382
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000707382
[0].mechanism.mean_error.bias.all3.55898e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside3.55898e-06
[0].mechanism.variance_error.mse.all6.89801e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.89801e-11
[0].mechanism.variance_error.mae.all8.30543e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside8.30543e-06
[0].mechanism.variance_error.bias.all-8.30543e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-8.30543e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.005
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150722
[1].acoustic.peak0.37753
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.352
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000915975
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000915975
[1].mechanism.mean_error.mse.all6.30736e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.30736e-07
[1].mechanism.mean_error.mae.all0.000707382
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000707382
[1].mechanism.mean_error.bias.all3.55898e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside3.55898e-06
[1].mechanism.variance_error.mse.all6.89801e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.89801e-11
[1].mechanism.variance_error.mae.all8.30543e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside8.30543e-06
[1].mechanism.variance_error.bias.all-8.30543e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-8.30543e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.029
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12530271285890326, -0.0006319627477468884, 0.05041337836510729, 0.025706008001662787, 0.025064712700410285, -0.012480245221026835, 0.012983619323691666, 0.006527182941693526]
selected_unquantized.sigma2_raw0.000391695
selected_unquantized.sigma20.000391695
selected_unquantized.objective-14018.6
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14018.6
direct_rss1.60438
rss_difference-1.15463e-14
sigma2_floor1.03372e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1683
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1632
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1683
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1632
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1683
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12530271285890326, -0.0006319627477468884, 0.05041337836510729, 0.025706008001662787, 0.025064712700410285, -0.012480245221026835, 0.012983619323691666, 0.006527182941693526]
top_candidates[0].sigma2_raw0.000391695
top_candidates[0].sigma20.000391695
top_candidates[0].objective-14018.6
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[99, 0]]
top_candidates[1].mean[0.12535061639076664, -0.0006701533429613248, 0.05043246589698729, 0.025644427988663038, 0.02505139106273955, -0.012543136952924902, 0.012948706467599717, 0.006480797367991306]
top_candidates[1].sigma2_raw0.000389063
top_candidates[1].sigma20.000389063
top_candidates[1].objective-14012.2
top_candidates[1].condition_number1.04113
top_candidates[1].objective_gap6.46484
top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.57695e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.13306e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.58225e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.13306e-10
top_candidates[2].q_index0
top_candidates[2].events[[97, 0]]
top_candidates[2].mean[0.12535010371200633, -0.0006861529752090981, 0.050420570452112075, 0.025632472240176, 0.025038295397532318, -0.01254126369635875, 0.012946847371752633, 0.006486559917708741]
top_candidates[2].sigma2_raw0.000387705
top_candidates[2].sigma20.000387705
top_candidates[2].objective-14010.7
top_candidates[2].condition_number1.04384
top_candidates[2].objective_gap7.95948
top_candidates[2].edit_difference_from_selected.120.0.mean_mse8.8898e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.20841e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse8.89346e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.20841e-09
top_candidates[3].q_index0
top_candidates[3].events[[87, 0]]
top_candidates[3].mean[0.12532516810236335, -0.0006321726458956577, 0.05039695294127151, 0.025707782523470564, 0.025070628916341098, -0.012485288929933506, 0.012991334711344657, 0.006533987043548694]
top_candidates[3].sigma2_raw0.000389534
top_candidates[3].sigma20.000389534
top_candidates[3].objective-14009.7
top_candidates[3].condition_number1.03022
top_candidates[3].objective_gap8.94251
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.74113e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.14577e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.73363e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.14577e-10
top_candidates[4].q_index0
top_candidates[4].events[[96, 0]]
top_candidates[4].mean[0.12533993997570686, -0.0006696268901688522, 0.05041258838165288, 0.02565996457577691, 0.02504048407922072, -0.012503936676910809, 0.012965128858295469, 0.006524509770047544]
top_candidates[4].sigma2_raw0.000389558
top_candidates[4].sigma20.000389558
top_candidates[4].objective-14009.5
top_candidates[4].condition_number1.0418
top_candidates[4].objective_gap9.07091
top_candidates[4].edit_difference_from_selected.120.0.mean_mse3.15748e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.14655e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse3.16723e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.14655e-10
top_candidates[5].q_index0
top_candidates[5].events[[99, 1]]
top_candidates[5].mean[0.1253778705279865, -0.0006996161144368127, 0.05043770194084204, 0.025598606547075978, 0.025034515402242736, -0.012587559318755461, 0.01292062935118614, 0.006449475772499964]
top_candidates[5].sigma2_raw0.000387008
top_candidates[5].sigma20.000387008
top_candidates[5].objective-14009.3
top_candidates[5].condition_number1.04967
top_candidates[5].objective_gap9.32344
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.20283e-08
top_candidates[5].edit_difference_from_selected.120.0.variance_mse9.72167e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.20409e-08
top_candidates[5].edit_difference_from_selected.140.0.variance_mse9.72167e-09
top_candidates[6].q_index0
top_candidates[6].events[[6, 0]]
top_candidates[6].mean[0.12530147818490492, -0.0006495648633095099, 0.050424857401991714, 0.025704829341733848, 0.025063874865497996, -0.01247707007314289, 0.012988802603141204, 0.006524104341030821]
top_candidates[6].sigma2_raw0.000389613
top_candidates[6].sigma20.000389613
top_candidates[6].objective-14009.3
top_candidates[6].condition_number1.02997
top_candidates[6].objective_gap9.36113
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.46788e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.14836e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.46291e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.14836e-10
top_candidates[7].q_index0
top_candidates[7].events[[94, 0]]
top_candidates[7].mean[0.1253550965409534, -0.0006741285373950696, 0.05042055679332039, 0.02563121082633176, 0.02502953357072694, -0.012527830240552191, 0.012956289516568853, 0.006505876089497479]
top_candidates[7].sigma2_raw0.000387988
top_candidates[7].sigma20.000387988
top_candidates[7].objective-14009.2
top_candidates[7].condition_number1.04527
top_candidates[7].objective_gap9.45447
top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.31249e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.21045e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.32327e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.21045e-09
top_candidates[8].q_index0
top_candidates[8].events[[531, 0]]
top_candidates[8].mean[0.12530564409297615, -0.0006301312735171053, 0.05041639107725039, 0.025710519012252953, 0.025060717295479873, -0.012470308140253065, 0.012966145015242144, 0.006525935743293578]
top_candidates[8].sigma2_raw0.000389689
top_candidates[8].sigma20.000389689
top_candidates[8].objective-14008.9
top_candidates[8].condition_number1.02997
top_candidates[8].objective_gap9.75923
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.32679e-10
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.15095e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.31994e-10
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.15095e-10
top_candidates[9].q_index0
top_candidates[9].events[[83, 0]]
top_candidates[9].mean[0.12537949298089474, -0.0006668315583489666, 0.05040726933040269, 0.02563175106439189, 0.025038055268913888, -0.01249807370761902, 0.01295598901519966, 0.0065060989734985536]
top_candidates[9].sigma2_raw0.000384783
top_candidates[9].sigma20.000384783
top_candidates[9].objective-14008.8
top_candidates[9].condition_number1.0337
top_candidates[9].objective_gap9.77058
top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.34552e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.34629e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.35536e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.34629e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13327.7
mean_gain_prepass.rss2.24811
mean_gain_prepass.sigma20.000548855
mean_gain_prepass.direct_rss2.24811
mean_gain_prepass.rss_difference-1.82077e-14
mean_gain_prepass.direct_objective-13327.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03372e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14018.6
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14018.6
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14018.6
branch_diagnostics[0].diagnostics.selected_unquantized.q_index0
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12530271285890326, -0.0006319627477468884, 0.05041337836510729, 0.025706008001662787, 0.025064712700410285, -0.012480245221026835, 0.012983619323691666, 0.006527182941693526]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000391695
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000391695
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14018.6
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number1.03037
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14018.6
branch_diagnostics[0].diagnostics.direct_rss1.60438
branch_diagnostics[0].diagnostics.rss_difference-1.15463e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.03372e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1626
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1626
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1626
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1626
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1626
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1626
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1683
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1626
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1626
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1632
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1653
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1632
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1653
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1653
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1683
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index2
branch_diagnostics[1].diagnostics.top_candidates[0].events[[578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10336288757359842, -0.00045525485434908306, 0.04133143239451833, 0.02110322405813077, 0.020607964331622455, -0.010023445480309012, 0.01059939382023896, 0.00536856072521205]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000527814
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000527814
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13353.5
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number1.65032
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index2
branch_diagnostics[1].diagnostics.top_candidates[1].events[[578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10362443985094484, -0.00045660486960836367, 0.04149444409709594, 0.02115252706318191, 0.02068612305645777, -0.010088655009890611, 0.010638110421330777, 0.005400878971821005]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000542795
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000542795
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13350.7
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number1.64518
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap2.78556
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.9033e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse3.93505e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.89871e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse3.93398e-08
branch_diagnostics[1].diagnostics.top_candidates[2].q_index2
branch_diagnostics[1].diagnostics.top_candidates[2].events[[575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10360496744228351, -0.00043963303615126, 0.04147332614656977, 0.021158167017073546, 0.020666949746795237, -0.010095460342972762, 0.010621412150824763, 0.0054181551230781414]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000543341
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000543341
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13349.5
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number1.64985
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap3.97193
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.71099e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.13463e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.70755e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.13002e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index0
branch_diagnostics[1].diagnostics.top_candidates[3].events[[578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10328733834986617, -0.0005000651566437615, 0.041305732637623334, 0.021093662317247918, 0.02058905407955033, -0.010037370339116265, 0.010703123491659023, 0.005322645778906067]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000517353
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000517353
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13347.7
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.02138
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap5.74105
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.57473e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.27574e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.57436e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.27395e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index2
branch_diagnostics[1].diagnostics.top_candidates[4].events[[575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10334663644368744, -0.0004263933655084549, 0.04132294934867241, 0.021134809952374028, 0.020602173194257153, -0.010005050226710149, 0.010594903011881247, 0.005398695257853202]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000529519
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000529519
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13347.3
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.65354
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap6.16857
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.46692e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse7.90404e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.46636e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse7.88907e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index2
branch_diagnostics[1].diagnostics.top_candidates[5].events[[572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10360730188133635, -0.0004316158612218869, 0.04145708075694477, 0.021172392145379623, 0.020659454106503924, -0.010096979656766073, 0.010623510163282607, 0.005436019041085373]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000544101
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000544101
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13347
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.65235
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap6.48855
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.75344e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse4.65711e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.74789e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse4.65061e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index2
branch_diagnostics[1].diagnostics.top_candidates[6].events[]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.1038666430100364, -0.0004482070497429176, 0.04157234367465274, 0.021232420217465495, 0.020709319467360286, -0.010182232583481617, 0.01064392009522746, 0.005468387146725821]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000556467
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000556467
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13346.9
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.64722
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap6.58989
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.69687e-07
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse7.09349e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.6947e-07
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse7.0907e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index2
branch_diagnostics[1].diagnostics.top_candidates[7].events[[576, 1]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10364465948434898, -0.00043800840936108923, 0.04137136230118679, 0.021212526787272607, 0.02056766903610901, -0.010184456031885997, 0.01055393222223401, 0.005482029349213315]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000548169
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000548169
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13346.2
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.66264
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap7.29295
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse9.74739e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse7.48145e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse9.73988e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse7.45772e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index2
branch_diagnostics[1].diagnostics.top_candidates[8].events[[576, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.1037469894824293, -0.0004398777452028463, 0.04145929321378652, 0.021225532777375634, 0.020623533645966197, -0.010181691143430746, 0.010585591364517177, 0.005473733277877213]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000551953
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000551953
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13344.5
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.65481
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap8.92325
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.54779e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.83296e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.54652e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.82412e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.1036287367514263, -0.0004334833977887531, 0.041445243609521315, 0.02118839782504461, 0.02065792536134483, -0.01010062712930392, 0.010630990824506727, 0.005449139180566578]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000544813
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000544813
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13343.9
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.64746
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap9.62184
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.71286e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse5.33996e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.70375e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse5.33461e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12530271285890326, -0.0006319627477468884, 0.05041337836510729, 0.025706008001662787, 0.025064712700410285, -0.012480245221026835, 0.012983619323691666, 0.006527182941693526]
selected_unquantized.sigma2_raw0.000391695
selected_unquantized.sigma20.000391695
selected_unquantized.objective-14018.6
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14018.6
direct_rss1.60438
rss_difference-1.15463e-14
sigma2_floor1.03372e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1683
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1632
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1683
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1632
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1683
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12530271285890326, -0.0006319627477468884, 0.05041337836510729, 0.025706008001662787, 0.025064712700410285, -0.012480245221026835, 0.012983619323691666, 0.006527182941693526]
top_candidates[0].sigma2_raw0.000391695
top_candidates[0].sigma20.000391695
top_candidates[0].objective-14018.6
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[99, 0]]
top_candidates[1].mean[0.12535061639076664, -0.0006701533429613248, 0.05043246589698729, 0.025644427988663038, 0.02505139106273955, -0.012543136952924902, 0.012948706467599717, 0.006480797367991306]
top_candidates[1].sigma2_raw0.000389063
top_candidates[1].sigma20.000389063
top_candidates[1].objective-14012.2
top_candidates[1].condition_number1.04113
top_candidates[1].objective_gap6.46484
top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.57695e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.13306e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.58225e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.13306e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[97, 0]]
top_candidates[2].mean[0.12535010371200633, -0.0006861529752090981, 0.050420570452112075, 0.025632472240176, 0.025038295397532318, -0.01254126369635875, 0.012946847371752633, 0.006486559917708741]
top_candidates[2].sigma2_raw0.000387705
top_candidates[2].sigma20.000387705
top_candidates[2].objective-14010.7
top_candidates[2].condition_number1.04384
top_candidates[2].objective_gap7.95948
top_candidates[2].edit_difference_from_selected.120.0.mean_mse8.8898e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.20841e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse8.89346e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.20841e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[87, 0]]
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top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.73363e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.14577e-10
top_candidates[4].coupling_flag0
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top_candidates[4].edit_difference_from_selected.140.0.mean_mse3.16723e-09
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top_candidates[5].coupling_flag0
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top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.20409e-08
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top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.46291e-10
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top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.32327e-09
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.31994e-10
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top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.34629e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.35536e-09
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penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13327.7
mean_gain_prepass.rss2.24811
mean_gain_prepass.sigma20.000548855
mean_gain_prepass.direct_rss2.24811
mean_gain_prepass.rss_difference-1.82077e-14
mean_gain_prepass.direct_objective-13327.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03372e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14018.6
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.64727
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap9.76114
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.95769e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.45023e-10
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.95509e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.28281e-10
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index2
branch_diagnostics[3].diagnostics.top_candidates[6].events[[99, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10339354914340121, -0.0004923571760228495, 0.04133874271263212, 0.021034828272674968, 0.020587923466689514, -0.01009797468316035, 0.0105656621676574, 0.005326064594014914]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000524074
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000524074
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13348.4
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.66328
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap10.0731
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.09128e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.35954e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.09235e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.59046e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index2
branch_diagnostics[3].diagnostics.top_candidates[7].events[[39, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10334152683887723, -0.00043787377468938293, 0.04131299683342845, 0.021078504217225097, 0.02057256501396491, -0.010024122732187614, 0.010607895156459912, 0.005358392191005206]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000524186
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000524186
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13348
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.63866
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap10.5113
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.11411e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.51958e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.11281e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse8.45457e-10
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index2
branch_diagnostics[3].diagnostics.top_candidates[8].events[[240, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10334273898109769, -0.0004412960910918684, 0.04131465082374402, 0.021090342324992892, 0.020573441236172534, -0.010050824364109373, 0.010591196986204404, 0.005407867498719747]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000524296
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000524296
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13347.5
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.63505
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap10.9379
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.38149e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse5.98524e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.38182e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse9.77792e-10
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index2
branch_diagnostics[3].diagnostics.top_candidates[9].events[[96, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.1033714969326799, -0.00048676870092924406, 0.04131094636941238, 0.02104906283842825, 0.020568747617222348, -0.010064986539855358, 0.010567020506073232, 0.005365105655053706]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000524387
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000524387
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13347.2
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.65354
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap11.2965
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.24191e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse8.9634e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.24897e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.82729e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14018.6
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14018.6
best_by_coupling_flag.0.objective_with_gain_penalty-14018.6
best_by_coupling_flag.0.objective_without_coupling_penalty-14018.6
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14018.6
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13992.3
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13980.6
best_by_coupling_flag.1.objective_with_gain_penalty-13980.6
best_by_coupling_flag.1.objective_without_coupling_penalty-13980.6
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13980
best_by_coupling_flag.1.q_index8
best_by_coupling_flag.1.events[[87, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty37.9706
coupling_score_gap_eta1_minus_eta0_with_new_penalty38.6638
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C0 一定雑音 / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149027
[0].acoustic.peak0.351172
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz204.134
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.82
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.147068
[1].acoustic.peak0.35579
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz202.89
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.815
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156918
[0].acoustic.peak0.418841
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.321
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.874
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151568
[0].acoustic.peak0.375648
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz208.983
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00096128
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00096128
[0].mechanism.mean_error.mse.all6.25818e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.25818e-07
[0].mechanism.mean_error.mae.all0.000652361
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000652361
[0].mechanism.mean_error.bias.all-1.09418e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.09418e-06
[0].mechanism.variance_error.mse.all9.84767e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside9.84767e-11
[0].mechanism.variance_error.mae.all9.92354e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.92354e-06
[0].mechanism.variance_error.bias.all-9.92354e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.92354e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.921
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151734
[1].acoustic.peak0.36586
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz206.874
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00096128
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00096128
[1].mechanism.mean_error.mse.all6.25818e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.25818e-07
[1].mechanism.mean_error.mae.all0.000652361
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000652361
[1].mechanism.mean_error.bias.all-1.09418e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.09418e-06
[1].mechanism.variance_error.mse.all9.84767e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside9.84767e-11
[1].mechanism.variance_error.mae.all9.92354e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.92354e-06
[1].mechanism.variance_error.bias.all-9.92354e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.92354e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.921
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151568
[0].acoustic.peak0.375648
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz208.983
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00096128
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00096128
[0].mechanism.mean_error.mse.all6.25818e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.25818e-07
[0].mechanism.mean_error.mae.all0.000652361
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000652361
[0].mechanism.mean_error.bias.all-1.09418e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.09418e-06
[0].mechanism.variance_error.mse.all9.84767e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside9.84767e-11
[0].mechanism.variance_error.mae.all9.92354e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.92354e-06
[0].mechanism.variance_error.bias.all-9.92354e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.92354e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.921
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151734
[1].acoustic.peak0.36586
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz206.874
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00096128
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00096128
[1].mechanism.mean_error.mse.all6.25818e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.25818e-07
[1].mechanism.mean_error.mae.all0.000652361
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000652361
[1].mechanism.mean_error.bias.all-1.09418e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.09418e-06
[1].mechanism.variance_error.mse.all9.84767e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside9.84767e-11
[1].mechanism.variance_error.mae.all9.92354e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.92354e-06
[1].mechanism.variance_error.bias.all-9.92354e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.92354e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.921
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.139929
[0].acoustic.peak0.342004
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz218.46
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames43
[0].output_f0.positive_median_hz139.679
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140438
[1].acoustic.peak0.346401
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz217.492
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.742
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151036
[0].acoustic.peak0.371864
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz213.393
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.846
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151697
[0].acoustic.peak0.370543
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz231.023
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000965695
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000965695
[0].mechanism.mean_error.mse.all6.29263e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.29263e-07
[0].mechanism.mean_error.mae.all0.000654111
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000654111
[0].mechanism.mean_error.bias.all-4.03121e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-4.03121e-06
[0].mechanism.variance_error.mse.all9.84767e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside9.84767e-11
[0].mechanism.variance_error.mae.all9.92354e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.92354e-06
[0].mechanism.variance_error.bias.all-9.92354e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.92354e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.114
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150859
[1].acoustic.peak0.385003
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.274
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000965695
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000965695
[1].mechanism.mean_error.mse.all6.29263e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.29263e-07
[1].mechanism.mean_error.mae.all0.000654111
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000654111
[1].mechanism.mean_error.bias.all-4.03121e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-4.03121e-06
[1].mechanism.variance_error.mse.all9.84767e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside9.84767e-11
[1].mechanism.variance_error.mae.all9.92354e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.92354e-06
[1].mechanism.variance_error.bias.all-9.92354e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.92354e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.069
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151697
[0].acoustic.peak0.370543
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz231.023
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition0
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000965695
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000965695
[0].mechanism.mean_error.mse.all6.29263e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside6.29263e-07
[0].mechanism.mean_error.mae.all0.000654111
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000654111
[0].mechanism.mean_error.bias.all-4.03121e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-4.03121e-06
[0].mechanism.variance_error.mse.all9.84767e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside9.84767e-11
[0].mechanism.variance_error.mae.all9.92354e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.92354e-06
[0].mechanism.variance_error.bias.all-9.92354e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.92354e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.114
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150859
[1].acoustic.peak0.385003
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.274
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition0
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000965695
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000965695
[1].mechanism.mean_error.mse.all6.29263e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside6.29263e-07
[1].mechanism.mean_error.mae.all0.000654111
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000654111
[1].mechanism.mean_error.bias.all-4.03121e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-4.03121e-06
[1].mechanism.variance_error.mse.all9.84767e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside9.84767e-11
[1].mechanism.variance_error.mae.all9.92354e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.92354e-06
[1].mechanism.variance_error.bias.all-9.92354e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.92354e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.069
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12607593508625456, 6.0508237243581596e-05, 0.050537217499636244, 0.02514897959186948, 0.024911933885196972, -0.013541544229058525, 0.012148923078682199, 0.006434953374698088]
selected_unquantized.sigma2_raw0.000390076
selected_unquantized.sigma20.000390076
selected_unquantized.objective-14027.1
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14027.1
direct_rss1.59775
rss_difference1.46549e-14
sigma2_floor1.04221e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12607593508625456, 6.0508237243581596e-05, 0.050537217499636244, 0.02514897959186948, 0.024911933885196972, -0.013541544229058525, 0.012148923078682199, 0.006434953374698088]
top_candidates[0].sigma2_raw0.000390076
top_candidates[0].sigma20.000390076
top_candidates[0].objective-14027.1
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[319, 0]]
top_candidates[1].mean[0.12609254347035517, 3.061903185390691e-05, 0.05053703829192814, 0.025146251521985612, 0.024927627855200425, -0.01355793663149673, 0.01212191511555096, 0.00640071235285002]
top_candidates[1].sigma2_raw0.000386175
top_candidates[1].sigma20.000386175
top_candidates[1].objective-14018.8
top_candidates[1].condition_number1.04527
top_candidates[1].objective_gap8.33731
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.78907e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.19894e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.78567e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.19894e-09
top_candidates[2].q_index0
top_candidates[2].events[[321, 0]]
top_candidates[2].mean[0.1260890671237839, 4.866766629893483e-05, 0.05054276787941111, 0.02513561067095256, 0.024912748170304286, -0.013559825423632571, 0.01213141497423924, 0.006414833414515795]
top_candidates[2].sigma2_raw0.000387829
top_candidates[2].sigma20.000387829
top_candidates[2].objective-14018.7
top_candidates[2].condition_number1.0418
top_candidates[2].objective_gap8.43994
top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.72831e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.09217e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.73521e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.09217e-10
top_candidates[3].q_index0
top_candidates[3].events[[285, 0]]
top_candidates[3].mean[0.12606614771904506, 6.0047652957312185e-05, 0.05055062558726894, 0.02514502916567759, 0.024900488602692474, -0.013528866730640856, 0.012150382426618075, 0.006416953830266037]
top_candidates[3].sigma2_raw0.000387891
top_candidates[3].sigma20.000387891
top_candidates[3].objective-14018.3
top_candidates[3].condition_number1.02984
top_candidates[3].objective_gap8.76295
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.5831e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.09403e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.56495e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.09403e-10
top_candidates[4].q_index0
top_candidates[4].events[[450, 0]]
top_candidates[4].mean[0.12604166621427149, 6.28239766077503e-05, 0.050505313488511554, 0.025152479256542706, 0.024885956123996293, -0.013538359766484046, 0.012133440956106217, 0.006437170435137625]
top_candidates[4].sigma2_raw0.000387915
top_candidates[4].sigma20.000387915
top_candidates[4].objective-14018.2
top_candidates[4].condition_number1.04029
top_candidates[4].objective_gap8.89409
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.55974e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.0948e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.55815e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.0948e-10
top_candidates[5].q_index0
top_candidates[5].events[[453, 0]]
top_candidates[5].mean[0.12606349962185012, 6.36397701090595e-05, 0.05051570903142877, 0.025147202260820685, 0.02488603086648055, -0.013557965393570388, 0.012130890370217948, 0.006402269885648992]
top_candidates[5].sigma2_raw0.000387927
top_candidates[5].sigma20.000387927
top_candidates[5].objective-14018.1
top_candidates[5].condition_number1.03127
top_candidates[5].objective_gap8.95552
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.48834e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.09517e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.48322e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.09517e-10
top_candidates[6].q_index0
top_candidates[6].events[[318, 0]]
top_candidates[6].mean[0.1260654598328572, 3.57222446618058e-05, 0.050520086671409004, 0.02516984931731275, 0.02494078876562576, -0.013535728929108547, 0.012143284692751005, 0.0064044568649158275]
top_candidates[6].sigma2_raw0.000387985
top_candidates[6].sigma20.000387985
top_candidates[6].objective-14017.8
top_candidates[6].condition_number1.0377
top_candidates[6].objective_gap9.26014
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.64505e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.09703e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.64574e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.09703e-10
top_candidates[7].q_index0
top_candidates[7].events[[316, 0]]
top_candidates[7].mean[0.126082371828592, 2.9372253676311903e-05, 0.050524478661737086, 0.025154201624336566, 0.024937878718963264, -0.013547373073281308, 0.012128773319166916, 0.006393410613369227]
top_candidates[7].sigma2_raw0.00038636
top_candidates[7].sigma20.00038636
top_candidates[7].objective-14017.8
top_candidates[7].condition_number1.04242
top_candidates[7].objective_gap9.31838
top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.02453e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.20028e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.02051e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.20028e-09
top_candidates[8].q_index0
top_candidates[8].events[[435, 0]]
top_candidates[8].mean[0.1261109104982041, 3.3963949251187196e-05, 0.05053397161509822, 0.02517473279930267, 0.02489870707698163, -0.013542202623330682, 0.01215053713134199, 0.006411320560137582]
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core_bytes_without_source_clock42
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mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
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mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14027.1
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.12088e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12607593508625456, 6.0508237243581596e-05, 0.050537217499636244, 0.02514897959186948, 0.024911933885196972, -0.013541544229058525, 0.012148923078682199, 0.006434953374698088]
selected_unquantized.sigma2_raw0.000390076
selected_unquantized.sigma20.000390076
selected_unquantized.objective-14027.1
selected_unquantized.condition_number1.03037
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14027.1
direct_rss1.59775
rss_difference1.46549e-14
sigma2_floor1.04221e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12607593508625456, 6.0508237243581596e-05, 0.050537217499636244, 0.02514897959186948, 0.024911933885196972, -0.013541544229058525, 0.012148923078682199, 0.006434953374698088]
top_candidates[0].sigma2_raw0.000390076
top_candidates[0].sigma20.000390076
top_candidates[0].objective-14027.1
top_candidates[0].condition_number1.03037
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[319, 0]]
top_candidates[1].mean[0.12609254347035517, 3.061903185390691e-05, 0.05053703829192814, 0.025146251521985612, 0.024927627855200425, -0.01355793663149673, 0.01212191511555096, 0.00640071235285002]
top_candidates[1].sigma2_raw0.000386175
top_candidates[1].sigma20.000386175
top_candidates[1].objective-14018.8
top_candidates[1].condition_number1.04527
top_candidates[1].objective_gap8.33731
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.78907e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.19894e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.78567e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.19894e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[321, 0]]
top_candidates[2].mean[0.1260890671237839, 4.866766629893483e-05, 0.05054276787941111, 0.02513561067095256, 0.024912748170304286, -0.013559825423632571, 0.01213141497423924, 0.006414833414515795]
top_candidates[2].sigma2_raw0.000387829
top_candidates[2].sigma20.000387829
top_candidates[2].objective-14018.7
top_candidates[2].condition_number1.0418
top_candidates[2].objective_gap8.43994
top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.72831e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.09217e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.73521e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.09217e-10
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[285, 0]]
top_candidates[3].mean[0.12606614771904506, 6.0047652957312185e-05, 0.05055062558726894, 0.02514502916567759, 0.024900488602692474, -0.013528866730640856, 0.012150382426618075, 0.006416953830266037]
top_candidates[3].sigma2_raw0.000387891
top_candidates[3].sigma20.000387891
top_candidates[3].objective-14018.3
top_candidates[3].condition_number1.02984
top_candidates[3].objective_gap8.76295
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.5831e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.09403e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.56495e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.09403e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[450, 0]]
top_candidates[4].mean[0.12604166621427149, 6.28239766077503e-05, 0.050505313488511554, 0.025152479256542706, 0.024885956123996293, -0.013538359766484046, 0.012133440956106217, 0.006437170435137625]
top_candidates[4].sigma2_raw0.000387915
top_candidates[4].sigma20.000387915
top_candidates[4].objective-14018.2
top_candidates[4].condition_number1.04029
top_candidates[4].objective_gap8.89409
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.55974e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.0948e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.55815e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.0948e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[453, 0]]
top_candidates[5].mean[0.12606349962185012, 6.36397701090595e-05, 0.05051570903142877, 0.025147202260820685, 0.02488603086648055, -0.013557965393570388, 0.012130890370217948, 0.006402269885648992]
top_candidates[5].sigma2_raw0.000387927
top_candidates[5].sigma20.000387927
top_candidates[5].objective-14018.1
top_candidates[5].condition_number1.03127
top_candidates[5].objective_gap8.95552
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.48834e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.09517e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.48322e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.09517e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[318, 0]]
top_candidates[6].mean[0.1260654598328572, 3.57222446618058e-05, 0.050520086671409004, 0.02516984931731275, 0.02494078876562576, -0.013535728929108547, 0.012143284692751005, 0.0064044568649158275]
top_candidates[6].sigma2_raw0.000387985
top_candidates[6].sigma20.000387985
top_candidates[6].objective-14017.8
top_candidates[6].condition_number1.0377
top_candidates[6].objective_gap9.26014
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.64505e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.09703e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.64574e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.09703e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[316, 0]]
top_candidates[7].mean[0.126082371828592, 2.9372253676311903e-05, 0.050524478661737086, 0.025154201624336566, 0.024937878718963264, -0.013547373073281308, 0.012128773319166916, 0.006393410613369227]
top_candidates[7].sigma2_raw0.00038636
top_candidates[7].sigma20.00038636
top_candidates[7].objective-14017.8
top_candidates[7].condition_number1.04242
top_candidates[7].objective_gap9.31838
top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.02453e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.20028e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.02051e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.20028e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[435, 0]]
top_candidates[8].mean[0.1261109104982041, 3.3963949251187196e-05, 0.05053397161509822, 0.02517473279930267, 0.02489870707698163, -0.013542202623330682, 0.01215053713134199, 0.006411320560137582]
top_candidates[8].sigma2_raw0.000388021
top_candidates[8].sigma20.000388021
top_candidates[8].objective-14017.6
top_candidates[8].condition_number1.02984
top_candidates[8].objective_gap9.45138
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.6765e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.09824e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.67192e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.09824e-10
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[277, 0]]
top_candidates[9].mean[0.12607294325959914, 6.763958276360535e-05, 0.05053520126443707, 0.025156327818636266, 0.02489798354111264, -0.013528953742535484, 0.012136453352787437, 0.0064428523369570966]
top_candidates[9].sigma2_raw0.000386398
top_candidates[9].sigma20.000386398
top_candidates[9].objective-14017.6
top_candidates[9].condition_number1.03232
top_candidates[9].objective_gap9.51788
top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.42988e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.20056e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.42414e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.20056e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13330.1
mean_gain_prepass.rss2.24549
mean_gain_prepass.sigma20.000548215
mean_gain_prepass.direct_rss2.24549
mean_gain_prepass.rss_difference-1.06581e-14
mean_gain_prepass.direct_objective-13330.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04221e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14027.1
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-14027.1
branch_diagnostics[0].event_penalty_nats0
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14027.1
branch_diagnostics[0].objective_with_gain_penalty-14027.1
branch_diagnostics[0].objective_without_coupling_penalty-14027.1
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-14027.1
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index0
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12607593508625456, 6.0508237243581596e-05, 0.050537217499636244, 0.02514897959186948, 0.024911933885196972, -0.013541544229058525, 0.012148923078682199, 0.006434953374698088]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000390076
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000390076
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14027.1
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number1.03037
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14027.1
branch_diagnostics[0].diagnostics.direct_rss1.59775
branch_diagnostics[0].diagnostics.rss_difference1.46549e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.04221e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1626
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1590
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1626
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1626
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1626
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1590
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1626
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
branch_diagnostics[0].diagnostics.candidate_counts[11].two1590
branch_diagnostics[0].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
branch_diagnostics[0].diagnostics.candidate_counts[12].one1737
branch_diagnostics[0].diagnostics.candidate_counts[12].two1590
branch_diagnostics[0].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
branch_diagnostics[0].diagnostics.candidate_counts[13].one1737
branch_diagnostics[0].diagnostics.candidate_counts[13].two1626
branch_diagnostics[0].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[0].diagnostics.candidate_counts[14].zero1
branch_diagnostics[0].diagnostics.candidate_counts[14].one1737
branch_diagnostics[0].diagnostics.candidate_counts[14].two1626
branch_diagnostics[0].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[0].diagnostics.candidate_counts[15].zero1
branch_diagnostics[0].diagnostics.candidate_counts[15].one1737
branch_diagnostics[0].diagnostics.candidate_counts[15].two1590
branch_diagnostics[0].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[0].diagnostics.candidate_counts[16].zero1
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branch_diagnostics[3].diagnostics.candidate_counts[22].two1626
branch_diagnostics[3].diagnostics.candidate_counts[23].q_index24
branch_diagnostics[3].diagnostics.candidate_counts[23].zero0
branch_diagnostics[3].diagnostics.candidate_counts[23].one1737
branch_diagnostics[3].diagnostics.candidate_counts[23].two1626
branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index2
branch_diagnostics[3].diagnostics.top_candidates[0].events[[578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.10384274385700228, -0.00013773473260348878, 0.041468221701545516, 0.020728429939238017, 0.020436792024653896, -0.011257659445721395, 0.010142025863348362, 0.005270132858044486]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000527518
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000527518
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13355.3
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number1.65412
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index2
branch_diagnostics[3].diagnostics.top_candidates[1].events[[578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.1041189426008968, -9.722204705567068e-05, 0.04162771499851644, 0.02076879517347969, 0.02051322147086329, -0.01127435592273285, 0.010159686022957547, 0.0052903160918819515]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000542849
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000542849
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13351.4
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number1.64901
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap3.85791
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.02162e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse3.99388e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.01621e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse4.45152e-08
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index2
branch_diagnostics[3].diagnostics.top_candidates[2].events[[575, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.10411970800376788, -7.681701802005402e-05, 0.04161796549473893, 0.020764318407402265, 0.020502851158452847, -0.011287059101339607, 0.010148560070042027, 0.005288012629463374]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.00054434
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.00054434
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13345.8
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.65366
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap9.47649
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.86516e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse3.94696e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.86234e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.85726e-08
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index2
branch_diagnostics[3].diagnostics.top_candidates[3].events[[318, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10383429144182645, -0.00015630448943906183, 0.0414565272572509, 0.020742885597097617, 0.020458886048285014, -0.01125390370937444, 0.010138421373157347, 0.005241332428276666]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000524842
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000524842
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13345.4
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.63683
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap9.85789
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.50705e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.19193e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.50811e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse7.90667e-10
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index2
branch_diagnostics[3].diagnostics.top_candidates[4].events[[321, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10385760115596465, -0.00015053559920339478, 0.04147910415772273, 0.020712731153957525, 0.020439129610920714, -0.01128030242978829, 0.010127768395155813, 0.0052451342211872545]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000524972
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000524972
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13344.9
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.65354
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap10.3651
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.48449e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse8.98899e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.48651e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse5.84909e-10
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index2
branch_diagnostics[3].diagnostics.top_candidates[5].events[[189, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10389093485379867, -0.00013039841323878964, 0.04143173008256028, 0.020726424388036062, 0.020467907097591817, -0.011258907388335295, 0.010109633381184788, 0.005275533078587482]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000525142
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000525142
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13344.2
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.63866
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap11.0277
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.14235e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.53818e-10
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.13535e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse8.48127e-10
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index2
branch_diagnostics[3].diagnostics.top_candidates[6].events[[438, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10392120001653131, -0.0001228254051814435, 0.04141080023249253, 0.020715497911941636, 0.02047866378492653, -0.011242316119890359, 0.010109717286459124, 0.005254829545998683]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000525153
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000525153
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13344.2
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.64306
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap11.0694
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse9.42102e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse7.3673e-10
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse9.4067e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.79554e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index2
branch_diagnostics[3].diagnostics.top_candidates[7].events[[316, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10385996075502511, -0.00016388081223427472, 0.04146427510581437, 0.020724494064491582, 0.02046269865756468, -0.011265764797490748, 0.010127082728410411, 0.005224438421331752]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000522977
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000522977
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13344
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.63354
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap11.2189
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.89621e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.38415e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.89616e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.64573e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index2
branch_diagnostics[3].diagnostics.top_candidates[8].events[[393, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10386941543761737, -0.00011823365249693627, 0.04146767386165579, 0.02069167984389342, 0.020402795756561416, -0.0112397523949051, 0.010170484181435667, 0.00529603719109775]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000525201
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000525201
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13344
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.63683
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap11.2578
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.86177e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.18564e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.86533e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.52502e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index2
branch_diagnostics[3].diagnostics.top_candidates[9].events[[435, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10389411207862746, -0.00016498980676796294, 0.041461858211968676, 0.020764691780281008, 0.02042096734001677, -0.011267010275755877, 0.010144523970469319, 0.005251360617473994]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.00052522
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.00052522
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13343.9
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.65233
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap11.33
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.9111e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.13753e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.90464e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.37167e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14027.1
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14027.1
best_by_coupling_flag.0.objective_with_gain_penalty-14027.1
best_by_coupling_flag.0.objective_without_coupling_penalty-14027.1
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14027.1
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13996.3
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13984.6
best_by_coupling_flag.1.objective_with_gain_penalty-13984.6
best_by_coupling_flag.1.objective_without_coupling_penalty-13984.6
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13984
best_by_coupling_flag.1.q_index2
best_by_coupling_flag.1.events[[316, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty42.4511
coupling_score_gap_eta1_minus_eta0_with_new_penalty43.1443
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C1 周期AMのみ / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.147841
[0].acoustic.peak0.370799
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz203.265
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames44
[0].output_f0.positive_median_hz120.383
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.147268
[1].acoustic.peak0.35899
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz200.784
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames42
[1].output_f0.positive_median_hz120.521
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.157439
[0].acoustic.peak0.394163
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.47
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.908
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152576
[0].acoustic.peak0.403912
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.618
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00158929
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158929
[0].mechanism.mean_error.mse.all1.05317e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.05317e-06
[0].mechanism.mean_error.mae.all0.000854003
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000854003
[0].mechanism.mean_error.bias.all-1.16403e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.16403e-06
[0].mechanism.variance_error.mse.all4.14975e-13
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside4.14975e-13
[0].mechanism.variance_error.mae.all5.92848e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.92848e-07
[0].mechanism.variance_error.bias.all5.92848e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.92848e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.987
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151897
[1].acoustic.peak0.384245
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz202.375
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00158929
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158929
[1].mechanism.mean_error.mse.all1.05317e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.05317e-06
[1].mechanism.mean_error.mae.all0.000854003
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000854003
[1].mechanism.mean_error.bias.all-1.16403e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.16403e-06
[1].mechanism.variance_error.mse.all4.14975e-13
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside4.14975e-13
[1].mechanism.variance_error.mae.all5.92848e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.92848e-07
[1].mechanism.variance_error.bias.all5.92848e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.92848e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.902
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152576
[0].acoustic.peak0.403912
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.618
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00158929
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158929
[0].mechanism.mean_error.mse.all1.05317e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.05317e-06
[0].mechanism.mean_error.mae.all0.000854003
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000854003
[0].mechanism.mean_error.bias.all-1.16403e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.16403e-06
[0].mechanism.variance_error.mse.all4.14975e-13
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside4.14975e-13
[0].mechanism.variance_error.mae.all5.92848e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.92848e-07
[0].mechanism.variance_error.bias.all5.92848e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.92848e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.987
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151897
[1].acoustic.peak0.384245
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz202.375
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00158929
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158929
[1].mechanism.mean_error.mse.all1.05317e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.05317e-06
[1].mechanism.mean_error.mae.all0.000854003
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000854003
[1].mechanism.mean_error.bias.all-1.16403e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.16403e-06
[1].mechanism.variance_error.mse.all4.14975e-13
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside4.14975e-13
[1].mechanism.variance_error.mae.all5.92848e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.92848e-07
[1].mechanism.variance_error.bias.all5.92848e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.92848e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.902
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.143011
[0].acoustic.peak0.350433
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz218.074
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.193
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.139668
[1].acoustic.peak0.330151
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.725
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames51
[1].output_f0.positive_median_hz139.837
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151734
[0].acoustic.peak0.360266
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.457
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.857
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152821
[0].acoustic.peak0.401606
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz232.705
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00158484
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158484
[0].mechanism.mean_error.mse.all1.05034e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.05034e-06
[0].mechanism.mean_error.mae.all0.000852562
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000852562
[0].mechanism.mean_error.bias.all-1.98955e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.98955e-06
[0].mechanism.variance_error.mse.all4.14019e-13
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside4.14019e-13
[0].mechanism.variance_error.mae.all5.92131e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.92131e-07
[0].mechanism.variance_error.bias.all5.92131e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.92131e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.049
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152225
[1].acoustic.peak0.406119
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.382
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00158484
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158484
[1].mechanism.mean_error.mse.all1.05034e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.05034e-06
[1].mechanism.mean_error.mae.all0.000852562
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000852562
[1].mechanism.mean_error.bias.all-1.98955e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.98955e-06
[1].mechanism.variance_error.mse.all4.14019e-13
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside4.14019e-13
[1].mechanism.variance_error.mae.all5.92131e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.92131e-07
[1].mechanism.variance_error.bias.all5.92131e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.92131e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.996
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152821
[0].acoustic.peak0.401606
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz232.705
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00158484
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158484
[0].mechanism.mean_error.mse.all1.05034e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.05034e-06
[0].mechanism.mean_error.mae.all0.000852562
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000852562
[0].mechanism.mean_error.bias.all-1.98955e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.98955e-06
[0].mechanism.variance_error.mse.all4.14019e-13
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside4.14019e-13
[0].mechanism.variance_error.mae.all5.92131e-07
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.92131e-07
[0].mechanism.variance_error.bias.all5.92131e-07
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.92131e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.049
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152225
[1].acoustic.peak0.406119
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz232.382
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00158484
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00158484
[1].mechanism.mean_error.mse.all1.05034e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.05034e-06
[1].mechanism.mean_error.mae.all0.000852562
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000852562
[1].mechanism.mean_error.bias.all-1.98955e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.98955e-06
[1].mechanism.variance_error.mse.all4.14019e-13
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside4.14019e-13
[1].mechanism.variance_error.mae.all5.92131e-07
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.92131e-07
[1].mechanism.variance_error.bias.all5.92131e-07
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.92131e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.996
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1266356210829935, 5.5933434377996566e-05, 0.050084557403449914, 0.02544595391849801, 0.02625073304918801, -0.01300803770600872, 0.012838682822134786, 0.00639711290328085]
selected_unquantized.sigma2_raw0.000400593
selected_unquantized.sigma20.000400593
selected_unquantized.objective-14188.3
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14188.3
direct_rss1.64083
rss_difference-2.22045e-14
sigma2_floor1.05054e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
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candidate_counts[24].q_index24
candidate_counts[24].zero1
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top_candidates[0].q_index10
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top_candidates[3].q_index10
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top_candidates[4].q_index10
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top_candidates[5].q_index10
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top_candidates[6].q_index10
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top_candidates[7].q_index10
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top_candidates[9].q_index10
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.06115e-10
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core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
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mean_gain_prepass.rss2.2557
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mean_gain_prepass.direct_rss2.2557
mean_gain_prepass.rss_difference-6.57252e-14
mean_gain_prepass.direct_objective-13320.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.05054e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14188.3
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.37799e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse4.52481e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.37117e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse4.58003e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10471005001692346, 0.00015317806913011408, 0.04132613354170589, 0.02112105615423694, 0.02163976352497132, -0.010621101286750756, 0.010617763145805887, 0.005340758521367141]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000535764
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000535764
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13543.5
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.11399
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap6.18042
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.22401e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.82353e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.22591e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.82299e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10441043395784881, 0.00016270565972658914, 0.041256166713606005, 0.021110164308984485, 0.021590690521987078, -0.010557632659111084, 0.010558791857905148, 0.005322802723450656]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000521847
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000521847
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13541.5
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.13258
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap8.21128
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.66266e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse3.86163e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.6626e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse3.87586e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[498, 0], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10469383539399744, 7.484437085067458e-05, 0.04138200385549422, 0.021042939624592725, 0.021625150808289136, -0.010688164704530725, 0.010559306546441905, 0.005275209455423889]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.00053156
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.00053156
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13540.2
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.13097
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap9.49608
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse7.71841e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.14476e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse7.72884e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.14561e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10443346420223298, 0.00011083233712031699, 0.04128660108356281, 0.021046165275354006, 0.021597149000060697, -0.010624022092892284, 0.010551721123186024, 0.0052630745818731915]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.00052194
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.00052194
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13540.1
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.12692
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap9.60509
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse4.97798e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse4.07276e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse4.97128e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse4.06557e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[574, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10484174165463103, 0.00018870567914705503, 0.04131365282400324, 0.021138904405284344, 0.02164649841398242, -0.010670220641557943, 0.01061482494154907, 0.005338801360865307]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000543104
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000543104
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13539.3
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.14702
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap10.3645
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.26061e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.73269e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.25406e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.6937e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[573, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10488941665390032, 0.00017897117743287248, 0.04134853491303041, 0.021168352088076117, 0.02166655830070377, -0.010650019648931506, 0.010634335958815905, 0.0053602175592731074]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000544675
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000544675
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13539.2
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.13206
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap10.489
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.84224e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse4.74487e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.83177e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse4.77726e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1266356210829935, 5.5933434377996566e-05, 0.050084557403449914, 0.02544595391849801, 0.02625073304918801, -0.01300803770600872, 0.012838682822134786, 0.00639711290328085]
selected_unquantized.sigma2_raw0.000400593
selected_unquantized.sigma20.000400593
selected_unquantized.objective-14188.3
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14188.3
direct_rss1.64083
rss_difference-2.22045e-14
sigma2_floor1.05054e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.1266356210829935, 5.5933434377996566e-05, 0.050084557403449914, 0.02544595391849801, 0.02625073304918801, -0.01300803770600872, 0.012838682822134786, 0.00639711290328085]
top_candidates[0].sigma2_raw0.000400593
top_candidates[0].sigma20.000400593
top_candidates[0].objective-14188.3
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[498, 0]]
top_candidates[1].mean[0.12666151183674088, 1.9842280042503308e-06, 0.05007900896103973, 0.02539008281734302, 0.02620724392703756, -0.013043310667734, 0.012790233162911559, 0.006385747050797685]
top_candidates[1].sigma2_raw0.00039798
top_candidates[1].sigma20.00039798
top_candidates[1].objective-14181.8
top_candidates[1].condition_number3.16583
top_candidates[1].objective_gap6.45175
top_candidates[1].edit_difference_from_selected.120.0.mean_mse6.07897e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.41797e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse6.09336e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.4245e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[499, 0]]
top_candidates[2].mean[0.12667047563108588, 4.5005811073105725e-05, 0.05006861876045108, 0.025445703343442864, 0.02618707906184374, -0.013016476460280053, 0.01277681076741364, 0.006383948879240609]
top_candidates[2].sigma2_raw0.000397094
top_candidates[2].sigma20.000397094
top_candidates[2].objective-14180.6
top_candidates[2].condition_number3.18968
top_candidates[2].objective_gap7.68069
top_candidates[2].edit_difference_from_selected.120.0.mean_mse4.83185e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.25934e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse4.83119e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.26054e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[498, 1]]
top_candidates[3].mean[0.12667632123853723, -3.188738323074225e-05, 0.05007092823320168, 0.02535632451469712, 0.026173434213664956, -0.013063622871920005, 0.012754820828684685, 0.006377708716819962]
top_candidates[3].sigma2_raw0.00039574
top_candidates[3].sigma20.00039574
top_candidates[3].objective-14180.3
top_candidates[3].condition_number3.17695
top_candidates[3].objective_gap7.94949
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.67781e-08
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.01608e-08
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.68188e-08
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.01657e-08
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[497, 0]]
top_candidates[4].mean[0.1267050043171387, 5.94629476784389e-05, 0.05004265120971486, 0.025431546183813915, 0.026171280472254945, -0.013006427705208976, 0.012791569289008434, 0.006385145696220155]
top_candidates[4].sigma2_raw0.000392873
top_candidates[4].sigma20.000392873
top_candidates[4].objective-14180.1
top_candidates[4].condition_number3.15429
top_candidates[4].objective_gap8.22363
top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.70889e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse2.43459e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.71006e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse2.44145e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[496, 0]]
top_candidates[5].mean[0.1266693811113268, 1.0565186885240103e-05, 0.050070814242041385, 0.025410921207071918, 0.026188322269882484, -0.013028562906397733, 0.012774660591051862, 0.0063873532376500855]
top_candidates[5].sigma2_raw0.000396629
top_candidates[5].sigma20.000396629
top_candidates[5].objective-14179.8
top_candidates[5].condition_number3.17351
top_candidates[5].objective_gap8.43132
top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.47745e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.26349e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.49323e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.2653e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[491, 0]]
top_candidates[6].mean[0.126681448408344, 2.2051225521024926e-05, 0.050050280968908005, 0.025434140555371246, 0.026182530024307787, -0.013027186230931955, 0.01275899031468902, 0.006388926448862024]
top_candidates[6].sigma2_raw0.000392312
top_candidates[6].sigma20.000392312
top_candidates[6].objective-14179.5
top_candidates[6].condition_number3.12101
top_candidates[6].objective_gap8.7807
top_candidates[6].edit_difference_from_selected.120.0.mean_mse7.93039e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.44555e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse7.93925e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.45163e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[494, 0]]
top_candidates[7].mean[0.1266939204048817, 3.84225793189163e-05, 0.050045850334071114, 0.025431611094575642, 0.02617157945064378, -0.013016634084862052, 0.01277502784875754, 0.006381790034690342]
top_candidates[7].sigma2_raw0.000392772
top_candidates[7].sigma20.000392772
top_candidates[7].objective-14179.3
top_candidates[7].condition_number3.13814
top_candidates[7].objective_gap8.95134
top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.96506e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse2.43754e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.97125e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.44526e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[322, 0]]
top_candidates[8].mean[0.12664140865897533, 2.8508530419744977e-05, 0.05008788828700743, 0.025410584469151284, 0.026242493450681074, -0.013042099045299984, 0.012823149096196486, 0.006368130600616249]
top_candidates[8].sigma2_raw0.000397044
top_candidates[8].sigma20.000397044
top_candidates[8].objective-14179.1
top_candidates[8].condition_number3.18108
top_candidates[8].objective_gap9.18268
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.15452e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.26351e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.15236e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.27663e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[489, 0]]
top_candidates[9].mean[0.12662920297917554, 4.866019835080722e-05, 0.050081385482463284, 0.025452823579843995, 0.026261718816925794, -0.013011043374667974, 0.012815857224323265, 0.006399901063439411]
top_candidates[9].sigma2_raw0.000397368
top_candidates[9].sigma20.000397368
top_candidates[9].objective-14178.9
top_candidates[9].condition_number3.1131
top_candidates[9].objective_gap9.39932
top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.07314e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.49296e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.06115e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.46569e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13320.8
mean_gain_prepass.rss2.2557
mean_gain_prepass.sigma20.000550708
mean_gain_prepass.direct_rss2.2557
mean_gain_prepass.rss_difference-6.57252e-14
mean_gain_prepass.direct_objective-13320.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.05054e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14188.3
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14188.3
branch_diagnostics[0].objective_with_gain_penalty-14188.3
branch_diagnostics[0].objective_without_coupling_penalty-14188.3
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branch_diagnostics[0].objective_with_all_penalties-14188.3
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
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branch_diagnostics[0].diagnostics.direct_rss1.64083
branch_diagnostics[0].diagnostics.rss_difference-2.22045e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.05054e-12
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branch_diagnostics[0].diagnostics.top_candidates[0].events[]
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branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.41797e-10
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse6.09336e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.4245e-10
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branch_diagnostics[0].diagnostics.top_candidates[2].q_index10
branch_diagnostics[0].diagnostics.top_candidates[2].events[[499, 0]]
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branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.71006e-09
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best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14188.3
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14188.3
best_by_coupling_flag.0.objective_with_gain_penalty-14188.3
best_by_coupling_flag.0.objective_without_coupling_penalty-14188.3
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14188.3
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14193.4
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14181.8
best_by_coupling_flag.1.objective_with_gain_penalty-14181.8
best_by_coupling_flag.1.objective_without_coupling_penalty-14181.8
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14181.1
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[498, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty6.52003
coupling_score_gap_eta1_minus_eta0_with_new_penalty7.21318
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C1 周期AMのみ / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.14843
[0].acoustic.peak0.373693
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz197.869
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.949
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.145461
[1].acoustic.peak0.389032
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz197.974
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.081
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156042
[0].acoustic.peak0.400244
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz200.509
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.989
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150724
[0].acoustic.peak0.406366
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz205.076
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00210855
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00210855
[0].mechanism.mean_error.mse.all1.09062e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.09062e-06
[0].mechanism.mean_error.mae.all0.00090573
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00090573
[0].mechanism.mean_error.bias.all2.38168e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside2.38168e-06
[0].mechanism.variance_error.mse.all1.97157e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.97157e-10
[0].mechanism.variance_error.mae.all1.29223e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.29223e-05
[0].mechanism.variance_error.bias.all-1.29223e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-1.29223e-05
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.888
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150204
[1].acoustic.peak0.387068
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz207.74
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00210855
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00210855
[1].mechanism.mean_error.mse.all1.09062e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.09062e-06
[1].mechanism.mean_error.mae.all0.00090573
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00090573
[1].mechanism.mean_error.bias.all2.38168e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside2.38168e-06
[1].mechanism.variance_error.mse.all1.97157e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.97157e-10
[1].mechanism.variance_error.mae.all1.29223e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.29223e-05
[1].mechanism.variance_error.bias.all-1.29223e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-1.29223e-05
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.947
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150724
[0].acoustic.peak0.406366
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz205.076
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00210855
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00210855
[0].mechanism.mean_error.mse.all1.09062e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.09062e-06
[0].mechanism.mean_error.mae.all0.00090573
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00090573
[0].mechanism.mean_error.bias.all2.38168e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside2.38168e-06
[0].mechanism.variance_error.mse.all1.97157e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.97157e-10
[0].mechanism.variance_error.mae.all1.29223e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.29223e-05
[0].mechanism.variance_error.bias.all-1.29223e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-1.29223e-05
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.888
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150204
[1].acoustic.peak0.387068
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz207.74
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00210855
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00210855
[1].mechanism.mean_error.mse.all1.09062e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.09062e-06
[1].mechanism.mean_error.mae.all0.00090573
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00090573
[1].mechanism.mean_error.bias.all2.38168e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside2.38168e-06
[1].mechanism.variance_error.mse.all1.97157e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.97157e-10
[1].mechanism.variance_error.mae.all1.29223e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.29223e-05
[1].mechanism.variance_error.bias.all-1.29223e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-1.29223e-05
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.947
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.139736
[0].acoustic.peak0.32713
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz213.735
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames49
[0].output_f0.positive_median_hz140.035
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140799
[1].acoustic.peak0.383982
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz215.907
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.914
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15016
[0].acoustic.peak0.363088
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz217.694
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.994
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150998
[0].acoustic.peak0.376607
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz228.79
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00211411
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00211411
[0].mechanism.mean_error.mse.all1.09275e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.09275e-06
[0].mechanism.mean_error.mae.all0.000906856
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000906856
[0].mechanism.mean_error.bias.all5.76916e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside5.76916e-06
[0].mechanism.variance_error.mse.all1.96703e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.96703e-10
[0].mechanism.variance_error.mae.all1.29066e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.29066e-05
[0].mechanism.variance_error.bias.all-1.29066e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-1.29066e-05
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.074
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151087
[1].acoustic.peak0.405636
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz228.798
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00211411
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00211411
[1].mechanism.mean_error.mse.all1.09275e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.09275e-06
[1].mechanism.mean_error.mae.all0.000906856
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000906856
[1].mechanism.mean_error.bias.all5.76916e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside5.76916e-06
[1].mechanism.variance_error.mse.all1.96703e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.96703e-10
[1].mechanism.variance_error.mae.all1.29066e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.29066e-05
[1].mechanism.variance_error.bias.all-1.29066e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-1.29066e-05
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.083
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150998
[0].acoustic.peak0.376607
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz228.79
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00211411
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00211411
[0].mechanism.mean_error.mse.all1.09275e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.09275e-06
[0].mechanism.mean_error.mae.all0.000906856
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000906856
[0].mechanism.mean_error.bias.all5.76916e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside5.76916e-06
[0].mechanism.variance_error.mse.all1.96703e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.96703e-10
[0].mechanism.variance_error.mae.all1.29066e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.29066e-05
[0].mechanism.variance_error.bias.all-1.29066e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-1.29066e-05
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.074
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151087
[1].acoustic.peak0.405636
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz228.798
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00211411
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00211411
[1].mechanism.mean_error.mse.all1.09275e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.09275e-06
[1].mechanism.mean_error.mae.all0.000906856
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000906856
[1].mechanism.mean_error.bias.all5.76916e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside5.76916e-06
[1].mechanism.variance_error.mse.all1.96703e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.96703e-10
[1].mechanism.variance_error.mae.all1.29066e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.29066e-05
[1].mechanism.variance_error.bias.all-1.29066e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-1.29066e-05
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.083
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1254883923317048, -5.143563788288673e-05, 0.049579272585953016, 0.025175106834704284, 0.02552844294733759, -0.011520860964893895, 0.012206015729853702, 0.006411781270826701]
selected_unquantized.sigma2_raw0.000387085
selected_unquantized.sigma20.000387085
selected_unquantized.objective-14258.5
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14258.5
direct_rss1.5855
rss_difference-1.24345e-14
sigma2_floor1.02932e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.1254883923317048, -5.143563788288673e-05, 0.049579272585953016, 0.025175106834704284, 0.02552844294733759, -0.011520860964893895, 0.012206015729853702, 0.006411781270826701]
top_candidates[0].sigma2_raw0.000387085
top_candidates[0].sigma20.000387085
top_candidates[0].objective-14258.5
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[451, 0]]
top_candidates[1].mean[0.12549897498094043, -6.0980245527697995e-05, 0.04959256293478797, 0.025157470092285788, 0.025548800009002913, -0.011546554083925865, 0.012232707294130004, 0.00639673746344836]
top_candidates[1].sigma2_raw0.000383721
top_candidates[1].sigma20.000383721
top_candidates[1].objective-14251.1
top_candidates[1].condition_number3.19259
top_candidates[1].objective_gap7.40184
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.34255e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.17432e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.3406e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.19114e-09
top_candidates[2].q_index10
top_candidates[2].events[[448, 0]]
top_candidates[2].mean[0.12550767344924432, -5.033665406909884e-05, 0.04961499344853386, 0.02515864476531594, 0.025559676303912128, -0.011561725767967842, 0.012221083600024432, 0.0063784182345783345]
top_candidates[2].sigma2_raw0.000383746
top_candidates[2].sigma20.000383746
top_candidates[2].objective-14249.9
top_candidates[2].condition_number3.1857
top_candidates[2].objective_gap8.60547
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.9045e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.17811e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.9194e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.19697e-09
top_candidates[3].q_index10
top_candidates[3].events[[454, 0]]
top_candidates[3].mean[0.12548427470742152, -4.971415158263663e-05, 0.04957162460777871, 0.025164869892964903, 0.025528800786429474, -0.01153468246157567, 0.012219830472748777, 0.0063963394400786576]
top_candidates[3].sigma2_raw0.00038361
top_candidates[3].sigma20.00038361
top_candidates[3].objective-14249.9
top_candidates[3].condition_number3.17654
top_candidates[3].objective_gap8.66312
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.03701e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.17633e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.02345e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.18113e-09
top_candidates[4].q_index10
top_candidates[4].events[[408, 0]]
top_candidates[4].mean[0.1254635052177791, -3.4460923988597927e-05, 0.04957030002084884, 0.025141952425320635, 0.025565710524832596, -0.011510180062128558, 0.012189221084345546, 0.006443330465332228]
top_candidates[4].sigma2_raw0.000385128
top_candidates[4].sigma20.000385128
top_candidates[4].objective-14249.7
top_candidates[4].condition_number3.1696
top_candidates[4].objective_gap8.87793
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.45154e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse5.99466e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.44128e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.05623e-10
top_candidates[5].q_index10
top_candidates[5].events[[446, 0]]
top_candidates[5].mean[0.12551019152307522, -3.3691004591218986e-05, 0.04961890342458477, 0.025153948776965196, 0.0255600929258912, -0.01157207604724664, 0.012211135945144705, 0.006353918043742264]
top_candidates[5].sigma2_raw0.000379761
top_candidates[5].sigma20.000379761
top_candidates[5].objective-14249.4
top_candidates[5].condition_number3.15298
top_candidates[5].objective_gap9.14505
top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.81615e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.27526e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.85574e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.30281e-09
top_candidates[6].q_index10
top_candidates[6].events[[456, 0]]
top_candidates[6].mean[0.12548831921008038, -4.710352985941351e-05, 0.04957503382852733, 0.025176523227328163, 0.025529008580622015, -0.011523077333465805, 0.012207684377725226, 0.006414697822036186]
top_candidates[6].sigma2_raw0.000385399
top_candidates[6].sigma20.000385399
top_candidates[6].objective-14249.3
top_candidates[6].condition_number3.17847
top_candidates[6].objective_gap9.24018
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.77418e-11
top_candidates[6].edit_difference_from_selected.120.0.variance_mse5.99076e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.76373e-11
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.01093e-10
top_candidates[7].q_index10
top_candidates[7].events[[459, 0]]
top_candidates[7].mean[0.12548640972609562, -4.820429073401862e-05, 0.04957520263652072, 0.025174864736670438, 0.025527908317620054, -0.011528195301828881, 0.012217067022889806, 0.006410070132336116]
top_candidates[7].sigma2_raw0.000385041
top_candidates[7].sigma20.000385041
top_candidates[7].objective-14249.3
top_candidates[7].condition_number3.16191
top_candidates[7].objective_gap9.24694
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.05728e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.0029e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.05344e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.96877e-10
top_candidates[8].q_index10
top_candidates[8].events[[189, 0]]
top_candidates[8].mean[0.1254650791209426, -6.580038782686703e-05, 0.04959358255399484, 0.025191833642123934, 0.025517538818328328, -0.011538994465941846, 0.012227132775802136, 0.006429005733556952]
top_candidates[8].sigma2_raw0.000383956
top_candidates[8].sigma20.000383956
top_candidates[8].objective-14249.2
top_candidates[8].condition_number3.1131
top_candidates[8].objective_gap9.33266
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.22122e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.06272e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.21599e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.03716e-10
top_candidates[9].q_index10
top_candidates[9].events[[453, 0]]
top_candidates[9].mean[0.12548679646422262, -5.6664225705193865e-05, 0.04958032697734576, 0.02516288970120628, 0.025536004839941395, -0.01153772752151092, 0.012219321863996192, 0.006400163313794043]
top_candidates[9].sigma2_raw0.000385502
top_candidates[9].sigma20.000385502
top_candidates[9].objective-14249.2
top_candidates[9].condition_number3.18028
top_candidates[9].objective_gap9.33618
top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.1626e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse5.98989e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.15228e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.04603e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13328.2
mean_gain_prepass.rss2.24761
mean_gain_prepass.sigma20.000548732
mean_gain_prepass.direct_rss2.24761
mean_gain_prepass.rss_difference-1.77636e-14
mean_gain_prepass.direct_objective-13328.2
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.02932e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14258.5
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14258.5
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14258.5
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.1254883923317048, -5.143563788288673e-05, 0.049579272585953016, 0.025175106834704284, 0.02552844294733759, -0.011520860964893895, 0.012206015729853702, 0.006411781270826701]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000387085
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000387085
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14258.5
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14258.5
branch_diagnostics[0].diagnostics.direct_rss1.5855
branch_diagnostics[0].diagnostics.rss_difference-1.24345e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.02932e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
branch_diagnostics[1].diagnostics.candidate_counts[10].one1737
branch_diagnostics[1].diagnostics.candidate_counts[10].two1701
branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[1].diagnostics.candidate_counts[11].zero1
branch_diagnostics[1].diagnostics.candidate_counts[11].one1737
branch_diagnostics[1].diagnostics.candidate_counts[11].two1701
branch_diagnostics[1].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[1].diagnostics.candidate_counts[12].zero1
branch_diagnostics[1].diagnostics.candidate_counts[12].one1737
branch_diagnostics[1].diagnostics.candidate_counts[12].two1701
branch_diagnostics[1].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[1].diagnostics.candidate_counts[13].zero1
branch_diagnostics[1].diagnostics.candidate_counts[13].one1737
branch_diagnostics[1].diagnostics.candidate_counts[13].two1701
branch_diagnostics[1].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[1].diagnostics.candidate_counts[14].zero1
branch_diagnostics[1].diagnostics.candidate_counts[14].one1737
branch_diagnostics[1].diagnostics.candidate_counts[14].two1692
branch_diagnostics[1].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[1].diagnostics.candidate_counts[15].zero1
branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1626
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1626
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1626
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1626
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1518
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1626
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1701
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1692
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1626
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10399259097045765, -2.532196477367151e-05, 0.04106056385647503, 0.021072021209203283, 0.0211236041573255, -0.00943374313059909, 0.010159186724710475, 0.005390965449582479]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000539533
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000539533
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13578.5
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.18677
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[[0, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10393510632886763, -5.134880732492909e-06, 0.04099765851065493, 0.02107704501197601, 0.021076649563601592, -0.00943055393919306, 0.010133612204800531, 0.005387856043107424]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000537358
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000537358
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13568.2
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.19918
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap10.2362
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.53555e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.16657e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.51992e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.17794e-09
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[3, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10395525225943435, -2.6415735162457475e-05, 0.041017964316637685, 0.021050033981266904, 0.02108892603490719, -0.009463309395999214, 0.010143040369626731, 0.005361526099933676]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.00053764
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.00053764
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13567.9
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.20369
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap10.5313
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse4.93413e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.16645e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse4.9194e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.17582e-09
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[453, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10400369563432271, -2.7537591533075e-05, 0.041073290411831956, 0.02107208799861703, 0.0211359439178874, -0.00943677081736993, 0.01017107109155242, 0.0053886611146186725]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000537908
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000537908
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13566.9
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.21074
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap11.5525
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.25671e-10
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.16899e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.25287e-10
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.17703e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[456, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10399696939493897, -2.3566617883973124e-05, 0.04105911532792929, 0.021078926306344274, 0.021119204828568276, -0.009433732086044044, 0.01015912699861966, 0.005391325479631881]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000537834
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000537834
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13566.7
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.20782
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap11.7225
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.5803e-11
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.16925e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.55394e-11
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.17209e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[450, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10402848107777782, -4.4330471503946845e-05, 0.04110153213725144, 0.021056737985531628, 0.021158550270747426, -0.009451788196789946, 0.010185637048990465, 0.005381408229375987]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000537755
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000537755
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13566.7
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.20495
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap11.7454
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse4.1952e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.16964e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse4.18834e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.17895e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[276, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10402316991510849, -3.098007952034193e-05, 0.04109295909521242, 0.021074621138127917, 0.021147769076665195, -0.009436937025031886, 0.010176196298879909, 0.00538574329142986]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000537876
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000537876
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13566.7
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.20904
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap11.8004
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.08841e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.1697e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.08652e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.17839e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[451, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10402926675268029, -3.8877526327641546e-05, 0.04109240194349212, 0.021069041026057316, 0.021151173086998775, -0.009451376135745272, 0.010188468525471318, 0.005381557851520642]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000536003
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000536003
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13566.6
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.22378
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap11.8323
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.25114e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse2.29985e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.24576e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.32452e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[408, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10398231800433788, -1.7359271016097413e-05, 0.04105415316663858, 0.021053019037983494, 0.021150593132830388, -0.009428170759328652, 0.010147926882643928, 0.0054171235430725655]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000537646
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000537646
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13566.4
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.19946
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap12.0834
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.54211e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.16995e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.53592e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.17824e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[1, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10392918120554917, -1.1783003933385878e-05, 0.0409930404743397, 0.02105876386058428, 0.02107366627221852, -0.009452118059735073, 0.01013629602930526, 0.0053760716959099335]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000536077
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000536077
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13566.4
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.21289
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap12.1151
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.94018e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.30114e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.91778e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.32529e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.1254883923317048, -5.143563788288673e-05, 0.049579272585953016, 0.025175106834704284, 0.02552844294733759, -0.011520860964893895, 0.012206015729853702, 0.006411781270826701]
selected_unquantized.sigma2_raw0.000387085
selected_unquantized.sigma20.000387085
selected_unquantized.objective-14258.5
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14258.5
direct_rss1.5855
rss_difference-1.24345e-14
sigma2_floor1.02932e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.1254883923317048, -5.143563788288673e-05, 0.049579272585953016, 0.025175106834704284, 0.02552844294733759, -0.011520860964893895, 0.012206015729853702, 0.006411781270826701]
top_candidates[0].sigma2_raw0.000387085
top_candidates[0].sigma20.000387085
top_candidates[0].objective-14258.5
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[451, 0]]
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top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.3406e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.19114e-09
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core_bytes_without_source_clock43
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
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mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
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mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14258.5
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.27089e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse8.93773e-10
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index10
branch_diagnostics[3].diagnostics.top_candidates[4].events[[459, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10400656112413882, -3.009086641802597e-05, 0.04105593883147419, 0.021084672304566274, 0.021118167851369052, -0.009447545588697452, 0.010174320500118676, 0.005390353827085297]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000537358
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000537358
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13566.5
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.19329
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap1.97837
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.3352e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse3.69542e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.33191e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse2.92785e-09
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[453, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10400725312737184, -2.8098250788666466e-05, 0.041077258976473754, 0.021072475189415223, 0.021139444388036128, -0.009437266826257739, 0.010174275244179323, 0.0053880449310241]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.00053739
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.00053739
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13566.3
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.21861
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap2.09909
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.76409e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse4.97859e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.76066e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse7.96942e-10
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[411, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10400187030611918, -8.53227320158078e-06, 0.04103290283646257, 0.021057227623281986, 0.021156387389757027, -0.009438883690675134, 0.010149909949169627, 0.005414556295704736]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000537398
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000537398
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13566.3
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.18094
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap2.1292
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.37435e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse3.01682e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.37059e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.01919e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[456, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10399757981590385, -2.2436227455959622e-05, 0.04105869500937606, 0.021080453660406926, 0.021118119797297295, -0.00943283915001692, 0.010157947122865905, 0.005391518273529293]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000537464
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000537464
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13566.1
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.21361
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap2.3809
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.13068e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse4.72542e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.12819e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.81148e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[276, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10403035004253278, -3.0932945108794694e-05, 0.04109941715680303, 0.0210774851006143, 0.021151219217673378, -0.009435660197348813, 0.010178039282950175, 0.005385369401912084]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000537526
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000537526
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13565.8
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.21514
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap2.61669
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.58875e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse4.55213e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.58411e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.28863e-10
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[408, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10397976540622211, -1.78711916404191e-05, 0.041056238741366886, 0.02105028487673654, 0.021152569621069033, -0.009425619103664998, 0.010146396094151227, 0.005418796157823489]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000537529
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000537529
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13565.8
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.20352
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap2.62687
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.36306e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse4.07214e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.35943e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse4.96336e-10
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14258.5
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14258.5
best_by_coupling_flag.0.objective_with_gain_penalty-14258.5
best_by_coupling_flag.0.objective_without_coupling_penalty-14258.5
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14258.5
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14262.7
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14251.1
best_by_coupling_flag.1.objective_with_gain_penalty-14251.1
best_by_coupling_flag.1.objective_without_coupling_penalty-14251.1
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14250.4
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[451, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty7.39984
coupling_score_gap_eta1_minus_eta0_with_new_penalty8.09298
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C1 周期AMのみ / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152317
[0].acoustic.peak0.369141
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz203.154
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.39
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.148329
[1].acoustic.peak0.350965
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz204.438
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames50
[1].output_f0.positive_median_hz120.399
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156991
[0].acoustic.peak0.409556
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz204.051
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.919
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152829
[0].acoustic.peak0.374106
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.599
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00135547
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00135547
[0].mechanism.mean_error.mse.all8.02522e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside8.02522e-07
[0].mechanism.mean_error.mae.all0.000799141
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000799141
[0].mechanism.mean_error.bias.all-1.22945e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.22945e-06
[0].mechanism.variance_error.mse.all6.08295e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.08295e-11
[0].mechanism.variance_error.mae.all7.17777e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside7.17777e-06
[0].mechanism.variance_error.bias.all7.17777e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside7.17777e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.89
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152795
[1].acoustic.peak0.406899
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz207.392
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00135547
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00135547
[1].mechanism.mean_error.mse.all8.02522e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside8.02522e-07
[1].mechanism.mean_error.mae.all0.000799141
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000799141
[1].mechanism.mean_error.bias.all-1.22945e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.22945e-06
[1].mechanism.variance_error.mse.all6.08295e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.08295e-11
[1].mechanism.variance_error.mae.all7.17777e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside7.17777e-06
[1].mechanism.variance_error.bias.all7.17777e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside7.17777e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.993
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152829
[0].acoustic.peak0.374106
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.599
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00135547
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00135547
[0].mechanism.mean_error.mse.all8.02522e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside8.02522e-07
[0].mechanism.mean_error.mae.all0.000799141
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000799141
[0].mechanism.mean_error.bias.all-1.22945e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-1.22945e-06
[0].mechanism.variance_error.mse.all6.08295e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.08295e-11
[0].mechanism.variance_error.mae.all7.17777e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside7.17777e-06
[0].mechanism.variance_error.bias.all7.17777e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside7.17777e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.89
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152795
[1].acoustic.peak0.406899
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz207.392
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00135547
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00135547
[1].mechanism.mean_error.mse.all8.02522e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside8.02522e-07
[1].mechanism.mean_error.mae.all0.000799141
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000799141
[1].mechanism.mean_error.bias.all-1.22945e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-1.22945e-06
[1].mechanism.variance_error.mse.all6.08295e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.08295e-11
[1].mechanism.variance_error.mae.all7.17777e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside7.17777e-06
[1].mechanism.variance_error.bias.all7.17777e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside7.17777e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.993
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.143296
[0].acoustic.peak0.332281
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz222.657
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.443
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140954
[1].acoustic.peak0.339432
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz222.965
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames48
[1].output_f0.positive_median_hz140.161
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151206
[0].acoustic.peak0.36563
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz218.915
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.923
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152359
[0].acoustic.peak0.401083
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz230.964
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0013579
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0013579
[0].mechanism.mean_error.mse.all8.02729e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside8.02729e-07
[0].mechanism.mean_error.mae.all0.000799023
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000799023
[0].mechanism.mean_error.bias.all1.451e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside1.451e-06
[0].mechanism.variance_error.mse.all6.06893e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.06893e-11
[0].mechanism.variance_error.mae.all7.16908e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside7.16908e-06
[0].mechanism.variance_error.bias.all7.16908e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside7.16908e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.081
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151472
[1].acoustic.peak0.395014
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.04
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0013579
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0013579
[1].mechanism.mean_error.mse.all8.02729e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside8.02729e-07
[1].mechanism.mean_error.mae.all0.000799023
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000799023
[1].mechanism.mean_error.bias.all1.451e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside1.451e-06
[1].mechanism.variance_error.mse.all6.06893e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.06893e-11
[1].mechanism.variance_error.mae.all7.16908e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside7.16908e-06
[1].mechanism.variance_error.bias.all7.16908e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside7.16908e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.953
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152359
[0].acoustic.peak0.401083
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz230.964
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition1
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0013579
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0013579
[0].mechanism.mean_error.mse.all8.02729e-07
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside8.02729e-07
[0].mechanism.mean_error.mae.all0.000799023
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000799023
[0].mechanism.mean_error.bias.all1.451e-06
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside1.451e-06
[0].mechanism.variance_error.mse.all6.06893e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside6.06893e-11
[0].mechanism.variance_error.mae.all7.16908e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside7.16908e-06
[0].mechanism.variance_error.bias.all7.16908e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside7.16908e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.081
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151472
[1].acoustic.peak0.395014
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz231.04
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition1
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0013579
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0013579
[1].mechanism.mean_error.mse.all8.02729e-07
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside8.02729e-07
[1].mechanism.mean_error.mae.all0.000799023
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000799023
[1].mechanism.mean_error.bias.all1.451e-06
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside1.451e-06
[1].mechanism.variance_error.mse.all6.06893e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside6.06893e-11
[1].mechanism.variance_error.mae.all7.16908e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside7.16908e-06
[1].mechanism.variance_error.bias.all7.16908e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside7.16908e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.953
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.12648716226767315, -0.0003876594060781089, 0.05005018689753373, 0.026048796059047814, 0.025309871469147323, -0.012206014475833138, 0.012812608495845593, 0.006121174093918193]
selected_unquantized.sigma2_raw0.000407174
selected_unquantized.sigma20.000407174
selected_unquantized.objective-14154.9
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14154.9
direct_rss1.66778
rss_difference-1.86517e-14
sigma2_floor1.04698e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1590
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.12648716226767315, -0.0003876594060781089, 0.05005018689753373, 0.026048796059047814, 0.025309871469147323, -0.012206014475833138, 0.012812608495845593, 0.006121174093918193]
top_candidates[0].sigma2_raw0.000407174
top_candidates[0].sigma20.000407174
top_candidates[0].objective-14154.9
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[201, 1]]
top_candidates[1].mean[0.1264996230625776, -0.0003902905874547886, 0.05006558214003862, 0.0260575556499959, 0.02531662081246909, -0.012180426532967746, 0.012799491941867977, 0.006148083686789897]
top_candidates[1].sigma2_raw0.000402536
top_candidates[1].sigma20.000402536
top_candidates[1].objective-14148.8
top_candidates[1].condition_number3.20094
top_candidates[1].objective_gap6.10881
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.0428e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.04867e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.03908e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.04872e-08
top_candidates[2].q_index10
top_candidates[2].events[[201, 0]]
top_candidates[2].mean[0.1264923470984331, -0.0003865988179583572, 0.05005537148640269, 0.026055932316711262, 0.025310065678129635, -0.012192336206890546, 0.012804565609389338, 0.00613330623507508]
top_candidates[2].sigma2_raw0.000405001
top_candidates[2].sigma20.000405001
top_candidates[2].objective-14147.8
top_candidates[2].condition_number3.1795
top_candidates[2].objective_gap7.14453
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.53496e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.60891e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.52641e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.60946e-10
top_candidates[3].q_index10
top_candidates[3].events[[199, 0]]
top_candidates[3].mean[0.12648740126396343, -0.00038072658217727716, 0.05006315783515382, 0.02605145994414979, 0.02533037190857108, -0.012193246759983435, 0.012813661928028375, 0.00613470244325771]
top_candidates[3].sigma2_raw0.000403602
top_candidates[3].sigma20.000403602
top_candidates[3].objective-14147.3
top_candidates[3].condition_number3.18968
top_candidates[3].objective_gap7.59976
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.96264e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.3009e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.9505e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.30214e-09
top_candidates[4].q_index10
top_candidates[4].events[[202, 0]]
top_candidates[4].mean[0.12647902468320357, -0.00038328935852856516, 0.05005914505029211, 0.026036843679696282, 0.0253351576625429, -0.012187630556657263, 0.012809041175868136, 0.006149146858666812]
top_candidates[4].sigma2_raw0.000403706
top_candidates[4].sigma20.000403706
top_candidates[4].objective-14146.8
top_candidates[4].condition_number3.1904
top_candidates[4].objective_gap8.07354
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.04689e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.30047e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.04264e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.30245e-09
top_candidates[5].q_index10
top_candidates[5].events[[204, 0]]
top_candidates[5].mean[0.12649275659689643, -0.00039163852820814566, 0.050065201924479705, 0.026047651281497157, 0.025329825525336906, -0.012192687812932057, 0.01281807318118282, 0.006142619544931226]
top_candidates[5].sigma2_raw0.000405311
top_candidates[5].sigma20.000405311
top_candidates[5].objective-14146.6
top_candidates[5].condition_number3.17827
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penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
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mean_gain_prepass.rss2.32962
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mean_gain_prepass.direct_rss2.32962
mean_gain_prepass.rss_difference4.9738e-14
mean_gain_prepass.direct_objective-13254.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04698e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14154.9
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[577, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10468349074718993, -0.00021814939090529628, 0.041291785119185964, 0.021448438391141487, 0.020909775418497686, -0.010119295360039832, 0.010671827688661328, 0.005132261783284963]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000550155
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000550155
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13513
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.14754
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap8.07448
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.87236e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.53065e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.87104e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.4859e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[201, 0], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10456069319869185, -0.00025544157851078764, 0.0413146046625421, 0.021451208197107156, 0.02090656895980635, -0.010047099100926667, 0.010661133663247956, 0.005151655325519416]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000539528
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000539528
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13511.5
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.14583
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap9.56944
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.2296e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.17485e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.22657e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.17489e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[]
selected_unquantized.mean[0.12648716226767315, -0.0003876594060781089, 0.05005018689753373, 0.026048796059047814, 0.025309871469147323, -0.012206014475833138, 0.012812608495845593, 0.006121174093918193]
selected_unquantized.sigma2_raw0.000407174
selected_unquantized.sigma20.000407174
selected_unquantized.objective-14154.9
selected_unquantized.condition_number3.15912
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14154.9
direct_rss1.66778
rss_difference-1.86517e-14
sigma2_floor1.04698e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1590
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[]
top_candidates[0].mean[0.12648716226767315, -0.0003876594060781089, 0.05005018689753373, 0.026048796059047814, 0.025309871469147323, -0.012206014475833138, 0.012812608495845593, 0.006121174093918193]
top_candidates[0].sigma2_raw0.000407174
top_candidates[0].sigma20.000407174
top_candidates[0].objective-14154.9
top_candidates[0].condition_number3.15912
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[201, 1]]
top_candidates[1].mean[0.1264996230625776, -0.0003902905874547886, 0.05006558214003862, 0.0260575556499959, 0.02531662081246909, -0.012180426532967746, 0.012799491941867977, 0.006148083686789897]
top_candidates[1].sigma2_raw0.000402536
top_candidates[1].sigma20.000402536
top_candidates[1].objective-14148.8
top_candidates[1].condition_number3.20094
top_candidates[1].objective_gap6.10881
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.0428e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.04867e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.03908e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.04872e-08
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[201, 0]]
top_candidates[2].mean[0.1264923470984331, -0.0003865988179583572, 0.05005537148640269, 0.026055932316711262, 0.025310065678129635, -0.012192336206890546, 0.012804565609389338, 0.00613330623507508]
top_candidates[2].sigma2_raw0.000405001
top_candidates[2].sigma20.000405001
top_candidates[2].objective-14147.8
top_candidates[2].condition_number3.1795
top_candidates[2].objective_gap7.14453
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.53496e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.60891e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.52641e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.60946e-10
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[199, 0]]
top_candidates[3].mean[0.12648740126396343, -0.00038072658217727716, 0.05006315783515382, 0.02605145994414979, 0.02533037190857108, -0.012193246759983435, 0.012813661928028375, 0.00613470244325771]
top_candidates[3].sigma2_raw0.000403602
top_candidates[3].sigma20.000403602
top_candidates[3].objective-14147.3
top_candidates[3].condition_number3.18968
top_candidates[3].objective_gap7.59976
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.96264e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.3009e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.9505e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.30214e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[202, 0]]
top_candidates[4].mean[0.12647902468320357, -0.00038328935852856516, 0.05005914505029211, 0.026036843679696282, 0.0253351576625429, -0.012187630556657263, 0.012809041175868136, 0.006149146858666812]
top_candidates[4].sigma2_raw0.000403706
top_candidates[4].sigma20.000403706
top_candidates[4].objective-14146.8
top_candidates[4].condition_number3.1904
top_candidates[4].objective_gap8.07354
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.04689e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.30047e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.04264e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.30245e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[204, 0]]
top_candidates[5].mean[0.12649275659689643, -0.00039163852820814566, 0.050065201924479705, 0.026047651281497157, 0.025329825525336906, -0.012192687812932057, 0.01281807318118282, 0.006142619544931226]
top_candidates[5].sigma2_raw0.000405311
top_candidates[5].sigma20.000405311
top_candidates[5].objective-14146.6
top_candidates[5].condition_number3.17827
top_candidates[5].objective_gap8.35338
top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.73528e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.61558e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.70943e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.61814e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[157, 0]]
top_candidates[6].mean[0.1265774402903167, -0.00043881191892689004, 0.05006540830753526, 0.026080391895522758, 0.025318774836937823, -0.012189361416747086, 0.012779726164907025, 0.0061341433151639434]
top_candidates[6].sigma2_raw0.000402675
top_candidates[6].sigma20.000402675
top_candidates[6].objective-14146.5
top_candidates[6].condition_number3.14398
top_candidates[6].objective_gap8.39897
top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.82744e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.30549e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.80699e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.29251e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[154, 0]]
top_candidates[7].mean[0.12655359428795313, -0.00044158361954892595, 0.050093937497290256, 0.026078568438741918, 0.02531929254857751, -0.012166023867800996, 0.012781334395625942, 0.006143815251695228]
top_candidates[7].sigma2_raw0.000403516
top_candidates[7].sigma20.000403516
top_candidates[7].objective-14146.3
top_candidates[7].condition_number3.17654
top_candidates[7].objective_gap8.64941
top_candidates[7].edit_difference_from_selected.120.0.mean_mse6.69189e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.30156e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse6.66841e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.30688e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[256, 0]]
top_candidates[8].mean[0.12648122839754922, -0.00037323310312460477, 0.050031146890635626, 0.0260547827810109, 0.025306631982247904, -0.012240786645928314, 0.012841525382678859, 0.006149377412745102]
top_candidates[8].sigma2_raw0.000403036
top_candidates[8].sigma20.000403036
top_candidates[8].objective-14146.2
top_candidates[8].condition_number3.15549
top_candidates[8].objective_gap8.74666
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.75947e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.30367e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.75223e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.32116e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[253, 0]]
top_candidates[9].mean[0.12648644022813602, -0.0003762994750819346, 0.050035002511843736, 0.026048785422644875, 0.025318055795721182, -0.012234111684458362, 0.012835221790197339, 0.006130493347288444]
top_candidates[9].sigma2_raw0.000403744
top_candidates[9].sigma20.000403744
top_candidates[9].objective-14146
top_candidates[9].condition_number3.18503
top_candidates[9].objective_gap8.88864
top_candidates[9].edit_difference_from_selected.120.0.mean_mse9.14562e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.30199e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse9.10644e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.32424e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13254.8
mean_gain_prepass.rss2.32962
mean_gain_prepass.sigma20.000568755
mean_gain_prepass.direct_rss2.32962
mean_gain_prepass.rss_difference4.9738e-14
mean_gain_prepass.direct_objective-13254.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04698e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14154.9
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-14154.9
branch_diagnostics[0].event_penalty_nats0
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14154.9
branch_diagnostics[0].objective_with_gain_penalty-14154.9
branch_diagnostics[0].objective_without_coupling_penalty-14154.9
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-14154.9
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12648716226767315, -0.0003876594060781089, 0.05005018689753373, 0.026048796059047814, 0.025309871469147323, -0.012206014475833138, 0.012812608495845593, 0.006121174093918193]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000407174
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000407174
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14154.9
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14154.9
branch_diagnostics[0].diagnostics.direct_rss1.66778
branch_diagnostics[0].diagnostics.rss_difference-1.86517e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.04698e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1626
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1626
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1626
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1626
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1626
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1626
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
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branch_diagnostics[3].diagnostics.candidate_counts[14].q_index15
branch_diagnostics[3].diagnostics.candidate_counts[14].zero0
branch_diagnostics[3].diagnostics.candidate_counts[14].one1737
branch_diagnostics[3].diagnostics.candidate_counts[14].two1653
branch_diagnostics[3].diagnostics.candidate_counts[15].q_index16
branch_diagnostics[3].diagnostics.candidate_counts[15].zero0
branch_diagnostics[3].diagnostics.candidate_counts[15].one1737
branch_diagnostics[3].diagnostics.candidate_counts[15].two1653
branch_diagnostics[3].diagnostics.candidate_counts[16].q_index17
branch_diagnostics[3].diagnostics.candidate_counts[16].zero0
branch_diagnostics[3].diagnostics.candidate_counts[16].one1737
branch_diagnostics[3].diagnostics.candidate_counts[16].two1653
branch_diagnostics[3].diagnostics.candidate_counts[17].q_index18
branch_diagnostics[3].diagnostics.candidate_counts[17].zero0
branch_diagnostics[3].diagnostics.candidate_counts[17].one1737
branch_diagnostics[3].diagnostics.candidate_counts[17].two1653
branch_diagnostics[3].diagnostics.candidate_counts[18].q_index19
branch_diagnostics[3].diagnostics.candidate_counts[18].zero0
branch_diagnostics[3].diagnostics.candidate_counts[18].one1737
branch_diagnostics[3].diagnostics.candidate_counts[18].two1626
branch_diagnostics[3].diagnostics.candidate_counts[19].q_index20
branch_diagnostics[3].diagnostics.candidate_counts[19].zero0
branch_diagnostics[3].diagnostics.candidate_counts[19].one1737
branch_diagnostics[3].diagnostics.candidate_counts[19].two1644
branch_diagnostics[3].diagnostics.candidate_counts[20].q_index21
branch_diagnostics[3].diagnostics.candidate_counts[20].zero0
branch_diagnostics[3].diagnostics.candidate_counts[20].one1737
branch_diagnostics[3].diagnostics.candidate_counts[20].two1653
branch_diagnostics[3].diagnostics.candidate_counts[21].q_index22
branch_diagnostics[3].diagnostics.candidate_counts[21].zero0
branch_diagnostics[3].diagnostics.candidate_counts[21].one1737
branch_diagnostics[3].diagnostics.candidate_counts[21].two1653
branch_diagnostics[3].diagnostics.candidate_counts[22].q_index23
branch_diagnostics[3].diagnostics.candidate_counts[22].zero0
branch_diagnostics[3].diagnostics.candidate_counts[22].one1737
branch_diagnostics[3].diagnostics.candidate_counts[22].two1653
branch_diagnostics[3].diagnostics.candidate_counts[23].q_index24
branch_diagnostics[3].diagnostics.candidate_counts[23].zero0
branch_diagnostics[3].diagnostics.candidate_counts[23].one1737
branch_diagnostics[3].diagnostics.candidate_counts[23].two1653
branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index10
branch_diagnostics[3].diagnostics.top_candidates[0].events[[578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.10428350016003593, -0.00023883782971065014, 0.041133627697089774, 0.0213487479468447, 0.02082639278002697, -0.010042739109960768, 0.01062272224122198, 0.0051383582448847965]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000527359
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000527359
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13524.2
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number3.14138
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index10
branch_diagnostics[3].diagnostics.top_candidates[1].events[[578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.10454607256931624, -0.00023888847422889368, 0.04128121525828102, 0.021426978183820795, 0.02090387388008282, -0.010061877685050645, 0.01066590342391116, 0.005144810396881792]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000541754
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000541754
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13523.8
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number3.13153
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap0.34014
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.54596e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.40728e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.53784e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.32943e-08
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index10
branch_diagnostics[3].diagnostics.top_candidates[2].events[[575, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.10454148826107984, -0.00022788632299767598, 0.04125742559621297, 0.0214189158475292, 0.020884881431159512, -0.01007866148664216, 0.010652504432896857, 0.005138460724495393]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.000542129
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.000542129
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13522.4
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number3.14033
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap1.75849
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.63707e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.14212e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.6311e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse5.97442e-08
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index10
branch_diagnostics[3].diagnostics.top_candidates[3].events[[575, 1]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10429667120159544, -0.000229987902248873, 0.0411271186509797, 0.02135302963666139, 0.020807525944402692, -0.010045466347229866, 0.010604886120048347, 0.005141732435304424]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000528589
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000528589
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13519.4
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number3.14682
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap4.76796
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.21695e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.17804e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.21417e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.39647e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index10
branch_diagnostics[3].diagnostics.top_candidates[4].events[[572, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.1045598244957431, -0.0002305077638112299, 0.0412397900865839, 0.021418914019413638, 0.02087358291163243, -0.010086115180824, 0.010650311616833389, 0.005139438495512102]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000542944
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000542944
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13519.3
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.14503
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap4.83207
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.99464e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse4.44278e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.98716e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.89352e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[569, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10458678937652106, -0.00024348367375703482, 0.041226186153869346, 0.021434234435967772, 0.02087437238109344, -0.010089858096951305, 0.010654050154103865, 0.005138159969766301]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000544014
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000544014
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13515.3
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.13727
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap8.86527
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.14008e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse5.07001e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.12939e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse7.93345e-08
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[201, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10430995168322206, -0.0002413441785350479, 0.04116234752101692, 0.021360573902627123, 0.020844045427461908, -0.01002282513094824, 0.01062297451600131, 0.005156614440159918]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000524511
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000524511
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13515
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.16964
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap9.17769
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.96228e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.30775e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.9572e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.30298e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[204, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10429832647581547, -0.00024075454369068745, 0.04115741586246734, 0.02135752300078069, 0.0208491036695502, -0.01001716933113545, 0.010625500697963104, 0.005168207604354193]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000524835
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000524835
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13513.7
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.1697
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap10.4431
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.12255e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse2.75243e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.11711e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.69092e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[162, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10435504098325767, -0.00024074081163991592, 0.04109008300107106, 0.021372671378306424, 0.02085464175439742, -0.010068048375567261, 0.010607537424461352, 0.00516900557911052]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000524976
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000524976
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13513.2
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.12935
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap10.9954
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.34329e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.28947e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.33032e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.55279e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[261, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10430559512646778, -0.00024292669582079698, 0.04111887506722945, 0.02136538293010051, 0.020833573919945798, -0.01006670417084685, 0.010633438355114665, 0.005164788090243667]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000525048
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000525048
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13512.9
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.13552
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap11.274
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.75722e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse8.72869e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.75407e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse7.49658e-10
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14154.9
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14154.9
best_by_coupling_flag.0.objective_with_gain_penalty-14154.9
best_by_coupling_flag.0.objective_without_coupling_penalty-14154.9
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14154.9
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14160.2
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14148.6
best_by_coupling_flag.1.objective_with_gain_penalty-14148.6
best_by_coupling_flag.1.objective_without_coupling_penalty-14148.6
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14147.9
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[201, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty6.34284
coupling_score_gap_eta1_minus_eta0_with_new_penalty7.03598
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C2 局在増分のみ / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.17242
[0].acoustic.peak0.534507
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz174.993
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz118.881
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.200288
[1].acoustic.peak0.582772
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz155.111
[1].acoustic.dominant_fft_bin_hz117.188
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames45
[1].output_f0.positive_median_hz119.195
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156737
[0].acoustic.peak0.411305
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz205.455
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.947
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151199
[0].acoustic.peak0.374214
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.287
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00107562
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00068874
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0010882
[0].mechanism.mean_error.mse.all8.31684e-07
[0].mechanism.mean_error.mse.inside8.22009e-07
[0].mechanism.mean_error.mse.outside8.31999e-07
[0].mechanism.mean_error.mae.all0.000772301
[0].mechanism.mean_error.mae.inside0.000761858
[0].mechanism.mean_error.mae.outside0.00077264
[0].mechanism.mean_error.bias.all2.04759e-06
[0].mechanism.mean_error.bias.inside3.23193e-05
[0].mechanism.mean_error.bias.outside1.06321e-06
[0].mechanism.variance_error.mse.all5.17399e-11
[0].mechanism.variance_error.mse.inside3.38434e-10
[0].mechanism.variance_error.mse.outside4.24172e-11
[0].mechanism.variance_error.mae.all6.80327e-06
[0].mechanism.variance_error.mae.inside1.57344e-05
[0].mechanism.variance_error.mae.outside6.51285e-06
[0].mechanism.variance_error.bias.all6.80327e-06
[0].mechanism.variance_error.bias.inside1.57344e-05
[0].mechanism.variance_error.bias.outside6.51285e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64062e-06
[0].mechanism.localized.integrated_variance_error7.43486e-08
[0].mechanism.localized.integrated_variance_relative_error0.0162821
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.53982e-12
[0].mechanism.localized.error.mse.inside1.759e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.90424e-07
[0].mechanism.localized.error.mae.inside9.22153e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.90424e-07
[0].mechanism.localized.error.bias.inside9.22153e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.986
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151751
[1].acoustic.peak0.394375
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.762
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00107562
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00068874
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0010882
[1].mechanism.mean_error.mse.all8.31684e-07
[1].mechanism.mean_error.mse.inside8.22009e-07
[1].mechanism.mean_error.mse.outside8.31999e-07
[1].mechanism.mean_error.mae.all0.000772301
[1].mechanism.mean_error.mae.inside0.000761858
[1].mechanism.mean_error.mae.outside0.00077264
[1].mechanism.mean_error.bias.all2.04759e-06
[1].mechanism.mean_error.bias.inside3.23193e-05
[1].mechanism.mean_error.bias.outside1.06321e-06
[1].mechanism.variance_error.mse.all5.17399e-11
[1].mechanism.variance_error.mse.inside3.38434e-10
[1].mechanism.variance_error.mse.outside4.24172e-11
[1].mechanism.variance_error.mae.all6.80327e-06
[1].mechanism.variance_error.mae.inside1.57344e-05
[1].mechanism.variance_error.mae.outside6.51285e-06
[1].mechanism.variance_error.bias.all6.80327e-06
[1].mechanism.variance_error.bias.inside1.57344e-05
[1].mechanism.variance_error.bias.outside6.51285e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64062e-06
[1].mechanism.localized.integrated_variance_error7.43486e-08
[1].mechanism.localized.integrated_variance_relative_error0.0162821
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.53982e-12
[1].mechanism.localized.error.mse.inside1.759e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.90424e-07
[1].mechanism.localized.error.mae.inside9.22153e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.90424e-07
[1].mechanism.localized.error.bias.inside9.22153e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.919
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151199
[0].acoustic.peak0.374214
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.287
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00107562
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00068874
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0010882
[0].mechanism.mean_error.mse.all8.31684e-07
[0].mechanism.mean_error.mse.inside8.22009e-07
[0].mechanism.mean_error.mse.outside8.31999e-07
[0].mechanism.mean_error.mae.all0.000772301
[0].mechanism.mean_error.mae.inside0.000761858
[0].mechanism.mean_error.mae.outside0.00077264
[0].mechanism.mean_error.bias.all2.04759e-06
[0].mechanism.mean_error.bias.inside3.23193e-05
[0].mechanism.mean_error.bias.outside1.06321e-06
[0].mechanism.variance_error.mse.all5.17399e-11
[0].mechanism.variance_error.mse.inside3.38434e-10
[0].mechanism.variance_error.mse.outside4.24172e-11
[0].mechanism.variance_error.mae.all6.80327e-06
[0].mechanism.variance_error.mae.inside1.57344e-05
[0].mechanism.variance_error.mae.outside6.51285e-06
[0].mechanism.variance_error.bias.all6.80327e-06
[0].mechanism.variance_error.bias.inside1.57344e-05
[0].mechanism.variance_error.bias.outside6.51285e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64062e-06
[0].mechanism.localized.integrated_variance_error7.43486e-08
[0].mechanism.localized.integrated_variance_relative_error0.0162821
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.53982e-12
[0].mechanism.localized.error.mse.inside1.759e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.90424e-07
[0].mechanism.localized.error.mae.inside9.22153e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.90424e-07
[0].mechanism.localized.error.bias.inside9.22153e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.986
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151751
[1].acoustic.peak0.394375
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.762
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00107562
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00068874
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0010882
[1].mechanism.mean_error.mse.all8.31684e-07
[1].mechanism.mean_error.mse.inside8.22009e-07
[1].mechanism.mean_error.mse.outside8.31999e-07
[1].mechanism.mean_error.mae.all0.000772301
[1].mechanism.mean_error.mae.inside0.000761858
[1].mechanism.mean_error.mae.outside0.00077264
[1].mechanism.mean_error.bias.all2.04759e-06
[1].mechanism.mean_error.bias.inside3.23193e-05
[1].mechanism.mean_error.bias.outside1.06321e-06
[1].mechanism.variance_error.mse.all5.17399e-11
[1].mechanism.variance_error.mse.inside3.38434e-10
[1].mechanism.variance_error.mse.outside4.24172e-11
[1].mechanism.variance_error.mae.all6.80327e-06
[1].mechanism.variance_error.mae.inside1.57344e-05
[1].mechanism.variance_error.mae.outside6.51285e-06
[1].mechanism.variance_error.bias.all6.80327e-06
[1].mechanism.variance_error.bias.inside1.57344e-05
[1].mechanism.variance_error.bias.outside6.51285e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64062e-06
[1].mechanism.localized.integrated_variance_error7.43486e-08
[1].mechanism.localized.integrated_variance_relative_error0.0162821
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.53982e-12
[1].mechanism.localized.error.mse.inside1.759e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.90424e-07
[1].mechanism.localized.error.mae.inside9.22153e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.90424e-07
[1].mechanism.localized.error.bias.inside9.22153e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.919
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.177413
[0].acoustic.peak0.530938
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz175.928
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames42
[0].output_f0.positive_median_hz118.978
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.232485
[1].acoustic.peak0.706323
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz157.771
[1].acoustic.dominant_fft_bin_hz117.188
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.07
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15087
[0].acoustic.peak0.362822
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz223.923
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.906
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150875
[0].acoustic.peak0.394626
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz236.418
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00107152
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000692075
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00108386
[0].mechanism.mean_error.mse.all8.28528e-07
[0].mechanism.mean_error.mse.inside8.304e-07
[0].mechanism.mean_error.mse.outside8.28467e-07
[0].mechanism.mean_error.mae.all0.000770287
[0].mechanism.mean_error.mae.inside0.000775015
[0].mechanism.mean_error.mae.outside0.000770133
[0].mechanism.mean_error.bias.all9.37484e-07
[0].mechanism.mean_error.bias.inside-8.6088e-05
[0].mechanism.mean_error.bias.outside3.7674e-06
[0].mechanism.variance_error.mse.all5.17399e-11
[0].mechanism.variance_error.mse.inside3.38434e-10
[0].mechanism.variance_error.mse.outside4.24172e-11
[0].mechanism.variance_error.mae.all6.80327e-06
[0].mechanism.variance_error.mae.inside1.57344e-05
[0].mechanism.variance_error.mae.outside6.51285e-06
[0].mechanism.variance_error.bias.all6.80327e-06
[0].mechanism.variance_error.bias.inside1.57344e-05
[0].mechanism.variance_error.bias.outside6.51285e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64062e-06
[0].mechanism.localized.integrated_variance_error7.43486e-08
[0].mechanism.localized.integrated_variance_relative_error0.0162821
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.53982e-12
[0].mechanism.localized.error.mse.inside1.759e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.90424e-07
[0].mechanism.localized.error.mae.inside9.22153e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.90424e-07
[0].mechanism.localized.error.bias.inside9.22153e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.961
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152252
[1].acoustic.peak0.383582
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz234.877
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00107152
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000692075
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00108386
[1].mechanism.mean_error.mse.all8.28528e-07
[1].mechanism.mean_error.mse.inside8.304e-07
[1].mechanism.mean_error.mse.outside8.28467e-07
[1].mechanism.mean_error.mae.all0.000770287
[1].mechanism.mean_error.mae.inside0.000775015
[1].mechanism.mean_error.mae.outside0.000770133
[1].mechanism.mean_error.bias.all9.37484e-07
[1].mechanism.mean_error.bias.inside-8.6088e-05
[1].mechanism.mean_error.bias.outside3.7674e-06
[1].mechanism.variance_error.mse.all5.17399e-11
[1].mechanism.variance_error.mse.inside3.38434e-10
[1].mechanism.variance_error.mse.outside4.24172e-11
[1].mechanism.variance_error.mae.all6.80327e-06
[1].mechanism.variance_error.mae.inside1.57344e-05
[1].mechanism.variance_error.mae.outside6.51285e-06
[1].mechanism.variance_error.bias.all6.80327e-06
[1].mechanism.variance_error.bias.inside1.57344e-05
[1].mechanism.variance_error.bias.outside6.51285e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64062e-06
[1].mechanism.localized.integrated_variance_error7.43486e-08
[1].mechanism.localized.integrated_variance_relative_error0.0162821
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.53982e-12
[1].mechanism.localized.error.mse.inside1.759e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.90424e-07
[1].mechanism.localized.error.mae.inside9.22153e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.90424e-07
[1].mechanism.localized.error.bias.inside9.22153e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.017
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150875
[0].acoustic.peak0.394626
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz236.418
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00107152
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000692075
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00108386
[0].mechanism.mean_error.mse.all8.28528e-07
[0].mechanism.mean_error.mse.inside8.304e-07
[0].mechanism.mean_error.mse.outside8.28467e-07
[0].mechanism.mean_error.mae.all0.000770287
[0].mechanism.mean_error.mae.inside0.000775015
[0].mechanism.mean_error.mae.outside0.000770133
[0].mechanism.mean_error.bias.all9.37484e-07
[0].mechanism.mean_error.bias.inside-8.6088e-05
[0].mechanism.mean_error.bias.outside3.7674e-06
[0].mechanism.variance_error.mse.all5.17399e-11
[0].mechanism.variance_error.mse.inside3.38434e-10
[0].mechanism.variance_error.mse.outside4.24172e-11
[0].mechanism.variance_error.mae.all6.80327e-06
[0].mechanism.variance_error.mae.inside1.57344e-05
[0].mechanism.variance_error.mae.outside6.51285e-06
[0].mechanism.variance_error.bias.all6.80327e-06
[0].mechanism.variance_error.bias.inside1.57344e-05
[0].mechanism.variance_error.bias.outside6.51285e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.64062e-06
[0].mechanism.localized.integrated_variance_error7.43486e-08
[0].mechanism.localized.integrated_variance_relative_error0.0162821
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.53982e-12
[0].mechanism.localized.error.mse.inside1.759e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.90424e-07
[0].mechanism.localized.error.mae.inside9.22153e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.90424e-07
[0].mechanism.localized.error.bias.inside9.22153e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.961
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152252
[1].acoustic.peak0.383582
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz234.877
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00107152
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000692075
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00108386
[1].mechanism.mean_error.mse.all8.28528e-07
[1].mechanism.mean_error.mse.inside8.304e-07
[1].mechanism.mean_error.mse.outside8.28467e-07
[1].mechanism.mean_error.mae.all0.000770287
[1].mechanism.mean_error.mae.inside0.000775015
[1].mechanism.mean_error.mae.outside0.000770133
[1].mechanism.mean_error.bias.all9.37484e-07
[1].mechanism.mean_error.bias.inside-8.6088e-05
[1].mechanism.mean_error.bias.outside3.7674e-06
[1].mechanism.variance_error.mse.all5.17399e-11
[1].mechanism.variance_error.mse.inside3.38434e-10
[1].mechanism.variance_error.mse.outside4.24172e-11
[1].mechanism.variance_error.mae.all6.80327e-06
[1].mechanism.variance_error.mae.inside1.57344e-05
[1].mechanism.variance_error.mae.outside6.51285e-06
[1].mechanism.variance_error.bias.all6.80327e-06
[1].mechanism.variance_error.bias.inside1.57344e-05
[1].mechanism.variance_error.bias.outside6.51285e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.64062e-06
[1].mechanism.localized.integrated_variance_error7.43486e-08
[1].mechanism.localized.integrated_variance_relative_error0.0162821
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.53982e-12
[1].mechanism.localized.error.mse.inside1.759e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.90424e-07
[1].mechanism.localized.error.mae.inside9.22153e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.90424e-07
[1].mechanism.localized.error.bias.inside9.22153e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.017
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12588011801222762, -0.00016809489612540813, 0.04974009327882847, 0.02598916592957886, 0.025074667909904844, -0.013111087991487143, 0.012113599881824417, 0.006017857611753749]
selected_unquantized.sigma2_raw0.000406513
selected_unquantized.sigma20.000406513
selected_unquantized.objective-13886.2
selected_unquantized.condition_number1.05521
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13886.2
direct_rss1.66508
rss_difference5.37348e-14
sigma2_floor1.04072e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1518
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
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core_bytes_without_source_clock45
core_bytes_with_source_clock53
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
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mean_gain_prepass.rss2.39081
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mean_gain_prepass.direct_rss2.39081
mean_gain_prepass.rss_difference5.77316e-14
mean_gain_prepass.direct_objective-13201.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04072e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13886.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse2.10406e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse5.63107e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse2.10613e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index2
branch_diagnostics[1].diagnostics.top_candidates[4].events[[193, 1], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10384109619378924, -0.0001904765997696535, 0.040762549409179914, 0.02130384289426888, 0.020549298303589324, -0.010778503976235894, 0.010070269257387866, 0.004855676265976335]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000543127
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000543127
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13236.3
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.62979
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap2.58136
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.18715e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse4.18443e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.18154e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse4.18336e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index2
branch_diagnostics[1].diagnostics.top_candidates[5].events[[193, 1], [572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10408036463869774, -0.00017060873812815134, 0.04089148977669381, 0.021370821723673446, 0.02060893459392332, -0.010797853296592882, 0.010089592386189528, 0.0048806123663331785]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000558461
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000558461
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13235
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.63233
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap3.85335
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.68785e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.98338e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.68558e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.97873e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index2
branch_diagnostics[1].diagnostics.top_candidates[6].events[[192, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10430801705847126, -0.00020072462824752204, 0.040953460041161745, 0.021414453266610782, 0.020639558585171976, -0.010758156119029444, 0.010136143778738097, 0.004944323167524743]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000577441
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000577441
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13233.2
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.60794
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap5.6712
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.4933e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.8266e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.48491e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.82865e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index2
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 1], [569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10410562690449088, -0.00017326529500123611, 0.0408820692441849, 0.021379475329756092, 0.020606037123795513, -0.010794798486009845, 0.01009414274221691, 0.004888186739542846]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000558879
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000558879
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13233
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.62787
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap5.83795
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.96709e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse3.85031e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.96431e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse3.84581e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index2
branch_diagnostics[1].diagnostics.top_candidates[8].events[[193, 1], [576, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10421414964346666, -0.0001925007556931534, 0.04091750746261366, 0.02140857480572371, 0.020596387359562165, -0.010846480689549068, 0.0100613561894034, 0.004875009810876775]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000566662
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000566662
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13232.1
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.63524
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap6.79771
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.85378e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse5.18953e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.85137e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse5.16036e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[188, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10434023388293931, -0.0002330939642545066, 0.04098277257676048, 0.021433433679155248, 0.0206663412898656, -0.010821388723051993, 0.010102907965284803, 0.004939392591473097]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000574901
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000574901
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13232
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.63193
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap6.90575
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse5.90089e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.45408e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.8901e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.45573e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12588011801222762, -0.00016809489612540813, 0.04974009327882847, 0.02598916592957886, 0.025074667909904844, -0.013111087991487143, 0.012113599881824417, 0.006017857611753749]
selected_unquantized.sigma2_raw0.000406513
selected_unquantized.sigma20.000406513
selected_unquantized.objective-13886.2
selected_unquantized.condition_number1.05521
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13886.2
direct_rss1.66508
rss_difference5.37348e-14
sigma2_floor1.04072e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1518
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12588011801222762, -0.00016809489612540813, 0.04974009327882847, 0.02598916592957886, 0.025074667909904844, -0.013111087991487143, 0.012113599881824417, 0.006017857611753749]
top_candidates[0].sigma2_raw0.000406513
top_candidates[0].sigma20.000406513
top_candidates[0].objective-13886.2
top_candidates[0].condition_number1.05521
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[190, 1]]
top_candidates[1].mean[0.1259176735507299, -0.0001515572952344543, 0.04971803342570084, 0.025975896285716994, 0.02507804955831359, -0.013061462023347249, 0.01213222180557073, 0.00601230984290806]
top_candidates[1].sigma2_raw0.000407073
top_candidates[1].sigma20.000407073
top_candidates[1].objective-13883.4
top_candidates[1].condition_number1.05102
top_candidates[1].objective_gap2.8215
top_candidates[1].edit_difference_from_selected.120.0.mean_mse2.60718e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.41817e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse2.60848e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.41817e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[188, 1]]
top_candidates[2].mean[0.12591890268178968, -0.00019882451531910288, 0.04971938163572134, 0.025972544724958836, 0.0250924688209195, -0.0130979258616616, 0.012099529788883508, 0.00599615916681005]
top_candidates[2].sigma2_raw0.000399325
top_candidates[2].sigma20.000399325
top_candidates[2].objective-13878.1
top_candidates[2].condition_number1.03696
top_candidates[2].objective_gap8.17705
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.15245e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.03628e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.15274e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.03628e-08
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[193, 1], [277, 0]]
top_candidates[3].mean[0.12585043423560127, -0.00021629738960291425, 0.049771075398957615, 0.025918209847919687, 0.02515012838293275, -0.013126323146930052, 0.012161070004666133, 0.006042382641705331]
top_candidates[3].sigma2_raw0.000402535
top_candidates[3].sigma20.000402535
top_candidates[3].objective-13877.5
top_candidates[3].condition_number1.05236
top_candidates[3].objective_gap8.78748
top_candidates[3].edit_difference_from_selected.120.0.mean_mse9.03731e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.30624e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse9.00518e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.30624e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[193, 1], [333, 0]]
top_candidates[4].mean[0.12589171490018117, -0.00018681935306473374, 0.04975192572098998, 0.026009328145911708, 0.025049582846727352, -0.013108409083242314, 0.012120681429182698, 0.005992018110862972]
top_candidates[4].sigma2_raw0.00040426
top_candidates[4].sigma20.00040426
top_candidates[4].objective-13877.3
top_candidates[4].condition_number1.04985
top_candidates[4].objective_gap8.88856
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.20152e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.63037e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.19686e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.63037e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[193, 1], [279, 0]]
top_candidates[5].mean[0.12584392430528912, -0.00021888880995959962, 0.04975770835486997, 0.025930886961628815, 0.02512854339278014, -0.013130998015900086, 0.0121582425347807, 0.0060441159447322925]
top_candidates[5].sigma2_raw0.000404278
top_candidates[5].sigma20.000404278
top_candidates[5].objective-13877.3
top_candidates[5].condition_number1.05368
top_candidates[5].objective_gap8.98181
top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.82971e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.6308e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.80859e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.6308e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[193, 1], [282, 0]]
top_candidates[6].mean[0.1258632202587606, -0.00018551255150295895, 0.049754513108865285, 0.0259612825841435, 0.025103397472976265, -0.013102314660296594, 0.012114749075635362, 0.006038746404377906]
top_candidates[6].sigma2_raw0.000404286
top_candidates[6].sigma20.000404286
top_candidates[6].objective-13877.2
top_candidates[6].condition_number1.05082
top_candidates[6].objective_gap9.02406
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.46902e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.63099e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.46318e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.63099e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[193, 1], [274, 0]]
top_candidates[7].mean[0.12586241838966647, -0.00020397826203277198, 0.04977521863601855, 0.025941880088960936, 0.025145416431353203, -0.013128962538647908, 0.01217002180049964, 0.006028775513500879]
top_candidates[7].sigma2_raw0.000402723
top_candidates[7].sigma20.000402723
top_candidates[7].objective-13876.5
top_candidates[7].condition_number1.06226
top_candidates[7].objective_gap9.74218
top_candidates[7].edit_difference_from_selected.120.0.mean_mse6.8671e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.30737e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse6.84553e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.30737e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[191, 1]]
top_candidates[8].mean[0.12590884441360442, -0.00021711051703324308, 0.04972936256401611, 0.025983982819760228, 0.025094096062566223, -0.013106478974688768, 0.01207603896296542, 0.005994491130364471]
top_candidates[8].sigma2_raw0.000399639
top_candidates[8].sigma20.000399639
top_candidates[8].objective-13876.5
top_candidates[8].condition_number1.03839
top_candidates[8].objective_gap9.78415
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.86223e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.30746e-08
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.85599e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.30746e-08
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[185, 1]]
top_candidates[9].mean[0.12590994321364363, -0.00017933208428165382, 0.04971463414176588, 0.025950589716871753, 0.025108926858394727, -0.013085419843576867, 0.01210000587749252, 0.006025612141837046]
top_candidates[9].sigma2_raw0.000399644
top_candidates[9].sigma20.000399644
top_candidates[9].objective-13876.4
top_candidates[9].condition_number1.03398
top_candidates[9].objective_gap9.80868
top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.6235e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.51891e-08
top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.62187e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.51891e-08
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13201.7
mean_gain_prepass.rss2.39081
mean_gain_prepass.sigma20.000583694
mean_gain_prepass.direct_rss2.39081
mean_gain_prepass.rss_difference5.77316e-14
mean_gain_prepass.direct_objective-13201.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04072e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13886.2
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[0].coupling_flag0
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branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
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branch_diagnostics[0].event_penalty_nats11.6188
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-13886.2
branch_diagnostics[0].objective_with_gain_penalty-13886.2
branch_diagnostics[0].objective_without_coupling_penalty-13886.2
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-13886.2
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branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
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branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
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branch_diagnostics[0].diagnostics.direct_rss1.66508
branch_diagnostics[0].diagnostics.rss_difference5.37348e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.04072e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
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branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
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branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.41817e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse2.60848e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.41817e-09
branch_diagnostics[0].diagnostics.top_candidates[2].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.03628e-08
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.15274e-09
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.03628e-08
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branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.19686e-09
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branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.63099e-10
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best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13897.9
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-13886.2
best_by_coupling_flag.0.objective_with_gain_penalty-13886.2
best_by_coupling_flag.0.objective_without_coupling_penalty-13886.2
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13886.2
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13865.5
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13853.9
best_by_coupling_flag.1.objective_with_gain_penalty-13853.9
best_by_coupling_flag.1.objective_without_coupling_penalty-13853.9
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13853.2
best_by_coupling_flag.1.q_index3
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty32.3818
coupling_score_gap_eta1_minus_eta0_with_new_penalty33.075
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C2 局在増分のみ / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172226
[0].acoustic.peak0.529994
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz172.877
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz118.121
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.196024
[1].acoustic.peak0.584218
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz153.006
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames37
[1].output_f0.positive_median_hz120.244
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156918
[0].acoustic.peak0.403015
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz203.441
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.851
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151425
[0].acoustic.peak0.412212
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.229
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00356807
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852259
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000912697
[0].mechanism.mean_error.mse.all6.58869e-07
[0].mechanism.mean_error.mse.inside6.44132e-07
[0].mechanism.mean_error.mse.outside6.59348e-07
[0].mechanism.mean_error.mae.all0.000686199
[0].mechanism.mean_error.mae.inside0.000674116
[0].mechanism.mean_error.mae.outside0.000686592
[0].mechanism.mean_error.bias.all-6.06645e-06
[0].mechanism.mean_error.bias.inside-3.53253e-05
[0].mechanism.mean_error.bias.outside-5.115e-06
[0].mechanism.variance_error.mse.all8.05699e-09
[0].mechanism.variance_error.mse.inside2.54397e-07
[0].mechanism.variance_error.mse.outside4.64311e-11
[0].mechanism.variance_error.mae.all1.85466e-05
[0].mechanism.variance_error.mae.inside0.000379347
[0].mechanism.variance_error.mae.outside6.81404e-06
[0].mechanism.variance_error.bias.all-7.1181e-06
[0].mechanism.variance_error.bias.inside-1.64686e-05
[0].mechanism.variance_error.bias.outside-6.81404e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.48848e-06
[0].mechanism.localized.integrated_variance_error-7.77891e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0170356
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0994
[0].mechanism.localized.centroid_error_s0.001
[0].mechanism.localized.outside_integrated_variance4.89946e-11
[0].mechanism.localized.outside_fraction1.09156e-05
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.00641e-09
[0].mechanism.localized.error.mse.inside2.54219e-07
[0].mechanism.localized.error.mse.outside3.61764e-17
[0].mechanism.localized.error.mae.all1.20024e-05
[0].mechanism.localized.error.mae.inside0.000381092
[0].mechanism.localized.error.mae.outside1.97608e-10
[0].mechanism.localized.error.bias.all-3.03864e-07
[0].mechanism.localized.error.bias.inside-9.65434e-06
[0].mechanism.localized.error.bias.outside1.97608e-10
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.013
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151419
[1].acoustic.peak0.375897
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.883
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00356807
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852259
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000912697
[1].mechanism.mean_error.mse.all6.58869e-07
[1].mechanism.mean_error.mse.inside6.44132e-07
[1].mechanism.mean_error.mse.outside6.59348e-07
[1].mechanism.mean_error.mae.all0.000686199
[1].mechanism.mean_error.mae.inside0.000674116
[1].mechanism.mean_error.mae.outside0.000686592
[1].mechanism.mean_error.bias.all-6.06645e-06
[1].mechanism.mean_error.bias.inside-3.53253e-05
[1].mechanism.mean_error.bias.outside-5.115e-06
[1].mechanism.variance_error.mse.all8.05699e-09
[1].mechanism.variance_error.mse.inside2.54397e-07
[1].mechanism.variance_error.mse.outside4.64311e-11
[1].mechanism.variance_error.mae.all1.85466e-05
[1].mechanism.variance_error.mae.inside0.000379347
[1].mechanism.variance_error.mae.outside6.81404e-06
[1].mechanism.variance_error.bias.all-7.1181e-06
[1].mechanism.variance_error.bias.inside-1.64686e-05
[1].mechanism.variance_error.bias.outside-6.81404e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.48848e-06
[1].mechanism.localized.integrated_variance_error-7.77891e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0170356
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0994
[1].mechanism.localized.centroid_error_s0.001
[1].mechanism.localized.outside_integrated_variance4.89946e-11
[1].mechanism.localized.outside_fraction1.09156e-05
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.00641e-09
[1].mechanism.localized.error.mse.inside2.54219e-07
[1].mechanism.localized.error.mse.outside3.61764e-17
[1].mechanism.localized.error.mae.all1.20024e-05
[1].mechanism.localized.error.mae.inside0.000381092
[1].mechanism.localized.error.mae.outside1.97608e-10
[1].mechanism.localized.error.bias.all-3.03864e-07
[1].mechanism.localized.error.bias.inside-9.65434e-06
[1].mechanism.localized.error.bias.outside1.97608e-10
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.978
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151425
[0].acoustic.peak0.412212
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz210.229
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00356807
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852259
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000912697
[0].mechanism.mean_error.mse.all6.58869e-07
[0].mechanism.mean_error.mse.inside6.44132e-07
[0].mechanism.mean_error.mse.outside6.59348e-07
[0].mechanism.mean_error.mae.all0.000686199
[0].mechanism.mean_error.mae.inside0.000674116
[0].mechanism.mean_error.mae.outside0.000686592
[0].mechanism.mean_error.bias.all-6.06645e-06
[0].mechanism.mean_error.bias.inside-3.53253e-05
[0].mechanism.mean_error.bias.outside-5.115e-06
[0].mechanism.variance_error.mse.all8.05699e-09
[0].mechanism.variance_error.mse.inside2.54397e-07
[0].mechanism.variance_error.mse.outside4.64311e-11
[0].mechanism.variance_error.mae.all1.85466e-05
[0].mechanism.variance_error.mae.inside0.000379347
[0].mechanism.variance_error.mae.outside6.81404e-06
[0].mechanism.variance_error.bias.all-7.1181e-06
[0].mechanism.variance_error.bias.inside-1.64686e-05
[0].mechanism.variance_error.bias.outside-6.81404e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.48848e-06
[0].mechanism.localized.integrated_variance_error-7.77891e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0170356
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0994
[0].mechanism.localized.centroid_error_s0.001
[0].mechanism.localized.outside_integrated_variance4.89946e-11
[0].mechanism.localized.outside_fraction1.09156e-05
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.00641e-09
[0].mechanism.localized.error.mse.inside2.54219e-07
[0].mechanism.localized.error.mse.outside3.61764e-17
[0].mechanism.localized.error.mae.all1.20024e-05
[0].mechanism.localized.error.mae.inside0.000381092
[0].mechanism.localized.error.mae.outside1.97608e-10
[0].mechanism.localized.error.bias.all-3.03864e-07
[0].mechanism.localized.error.bias.inside-9.65434e-06
[0].mechanism.localized.error.bias.outside1.97608e-10
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.013
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151419
[1].acoustic.peak0.375897
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.883
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00356807
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852259
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000912697
[1].mechanism.mean_error.mse.all6.58869e-07
[1].mechanism.mean_error.mse.inside6.44132e-07
[1].mechanism.mean_error.mse.outside6.59348e-07
[1].mechanism.mean_error.mae.all0.000686199
[1].mechanism.mean_error.mae.inside0.000674116
[1].mechanism.mean_error.mae.outside0.000686592
[1].mechanism.mean_error.bias.all-6.06645e-06
[1].mechanism.mean_error.bias.inside-3.53253e-05
[1].mechanism.mean_error.bias.outside-5.115e-06
[1].mechanism.variance_error.mse.all8.05699e-09
[1].mechanism.variance_error.mse.inside2.54397e-07
[1].mechanism.variance_error.mse.outside4.64311e-11
[1].mechanism.variance_error.mae.all1.85466e-05
[1].mechanism.variance_error.mae.inside0.000379347
[1].mechanism.variance_error.mae.outside6.81404e-06
[1].mechanism.variance_error.bias.all-7.1181e-06
[1].mechanism.variance_error.bias.inside-1.64686e-05
[1].mechanism.variance_error.bias.outside-6.81404e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.48848e-06
[1].mechanism.localized.integrated_variance_error-7.77891e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0170356
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0994
[1].mechanism.localized.centroid_error_s0.001
[1].mechanism.localized.outside_integrated_variance4.89946e-11
[1].mechanism.localized.outside_fraction1.09156e-05
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.00641e-09
[1].mechanism.localized.error.mse.inside2.54219e-07
[1].mechanism.localized.error.mse.outside3.61764e-17
[1].mechanism.localized.error.mae.all1.20024e-05
[1].mechanism.localized.error.mae.inside0.000381092
[1].mechanism.localized.error.mae.outside1.97608e-10
[1].mechanism.localized.error.bias.all-3.03864e-07
[1].mechanism.localized.error.bias.inside-9.65434e-06
[1].mechanism.localized.error.bias.outside1.97608e-10
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.978
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.175269
[0].acoustic.peak0.567575
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz175.699
[0].acoustic.dominant_fft_bin_hz113.281
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames42
[0].output_f0.positive_median_hz119.548
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.22836
[1].acoustic.peak0.690528
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz155.692
[1].acoustic.dominant_fft_bin_hz113.281
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz118.51
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151093
[0].acoustic.peak0.36605
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.521
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.849
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15173
[0].acoustic.peak0.406015
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz234.982
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00357094
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852206
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00091583
[0].mechanism.mean_error.mse.all6.61898e-07
[0].mechanism.mean_error.mse.inside6.64568e-07
[0].mechanism.mean_error.mse.outside6.61812e-07
[0].mechanism.mean_error.mae.all0.000687975
[0].mechanism.mean_error.mae.inside0.000694667
[0].mechanism.mean_error.mae.outside0.000687758
[0].mechanism.mean_error.bias.all-1.13004e-06
[0].mechanism.mean_error.bias.inside7.82061e-05
[0].mechanism.mean_error.bias.outside-3.70992e-06
[0].mechanism.variance_error.mse.all8.05699e-09
[0].mechanism.variance_error.mse.inside2.54397e-07
[0].mechanism.variance_error.mse.outside4.64311e-11
[0].mechanism.variance_error.mae.all1.85466e-05
[0].mechanism.variance_error.mae.inside0.000379347
[0].mechanism.variance_error.mae.outside6.81404e-06
[0].mechanism.variance_error.bias.all-7.1181e-06
[0].mechanism.variance_error.bias.inside-1.64686e-05
[0].mechanism.variance_error.bias.outside-6.81404e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.48848e-06
[0].mechanism.localized.integrated_variance_error-7.77891e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0170356
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0994
[0].mechanism.localized.centroid_error_s0.001
[0].mechanism.localized.outside_integrated_variance4.89946e-11
[0].mechanism.localized.outside_fraction1.09156e-05
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.00641e-09
[0].mechanism.localized.error.mse.inside2.54219e-07
[0].mechanism.localized.error.mse.outside3.61764e-17
[0].mechanism.localized.error.mae.all1.20024e-05
[0].mechanism.localized.error.mae.inside0.000381092
[0].mechanism.localized.error.mae.outside1.97608e-10
[0].mechanism.localized.error.bias.all-3.03864e-07
[0].mechanism.localized.error.bias.inside-9.65434e-06
[0].mechanism.localized.error.bias.outside1.97608e-10
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.023
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151477
[1].acoustic.peak0.375541
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz238.444
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00357094
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852206
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00091583
[1].mechanism.mean_error.mse.all6.61898e-07
[1].mechanism.mean_error.mse.inside6.64568e-07
[1].mechanism.mean_error.mse.outside6.61812e-07
[1].mechanism.mean_error.mae.all0.000687975
[1].mechanism.mean_error.mae.inside0.000694667
[1].mechanism.mean_error.mae.outside0.000687758
[1].mechanism.mean_error.bias.all-1.13004e-06
[1].mechanism.mean_error.bias.inside7.82061e-05
[1].mechanism.mean_error.bias.outside-3.70992e-06
[1].mechanism.variance_error.mse.all8.05699e-09
[1].mechanism.variance_error.mse.inside2.54397e-07
[1].mechanism.variance_error.mse.outside4.64311e-11
[1].mechanism.variance_error.mae.all1.85466e-05
[1].mechanism.variance_error.mae.inside0.000379347
[1].mechanism.variance_error.mae.outside6.81404e-06
[1].mechanism.variance_error.bias.all-7.1181e-06
[1].mechanism.variance_error.bias.inside-1.64686e-05
[1].mechanism.variance_error.bias.outside-6.81404e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.48848e-06
[1].mechanism.localized.integrated_variance_error-7.77891e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0170356
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0994
[1].mechanism.localized.centroid_error_s0.001
[1].mechanism.localized.outside_integrated_variance4.89946e-11
[1].mechanism.localized.outside_fraction1.09156e-05
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.00641e-09
[1].mechanism.localized.error.mse.inside2.54219e-07
[1].mechanism.localized.error.mse.outside3.61764e-17
[1].mechanism.localized.error.mae.all1.20024e-05
[1].mechanism.localized.error.mae.inside0.000381092
[1].mechanism.localized.error.mae.outside1.97608e-10
[1].mechanism.localized.error.bias.all-3.03864e-07
[1].mechanism.localized.error.bias.inside-9.65434e-06
[1].mechanism.localized.error.bias.outside1.97608e-10
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.107
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15173
[0].acoustic.peak0.406015
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz234.982
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00357094
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852206
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00091583
[0].mechanism.mean_error.mse.all6.61898e-07
[0].mechanism.mean_error.mse.inside6.64568e-07
[0].mechanism.mean_error.mse.outside6.61812e-07
[0].mechanism.mean_error.mae.all0.000687975
[0].mechanism.mean_error.mae.inside0.000694667
[0].mechanism.mean_error.mae.outside0.000687758
[0].mechanism.mean_error.bias.all-1.13004e-06
[0].mechanism.mean_error.bias.inside7.82061e-05
[0].mechanism.mean_error.bias.outside-3.70992e-06
[0].mechanism.variance_error.mse.all8.05699e-09
[0].mechanism.variance_error.mse.inside2.54397e-07
[0].mechanism.variance_error.mse.outside4.64311e-11
[0].mechanism.variance_error.mae.all1.85466e-05
[0].mechanism.variance_error.mae.inside0.000379347
[0].mechanism.variance_error.mae.outside6.81404e-06
[0].mechanism.variance_error.bias.all-7.1181e-06
[0].mechanism.variance_error.bias.inside-1.64686e-05
[0].mechanism.variance_error.bias.outside-6.81404e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.48848e-06
[0].mechanism.localized.integrated_variance_error-7.77891e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0170356
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0994
[0].mechanism.localized.centroid_error_s0.001
[0].mechanism.localized.outside_integrated_variance4.89946e-11
[0].mechanism.localized.outside_fraction1.09156e-05
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.00641e-09
[0].mechanism.localized.error.mse.inside2.54219e-07
[0].mechanism.localized.error.mse.outside3.61764e-17
[0].mechanism.localized.error.mae.all1.20024e-05
[0].mechanism.localized.error.mae.inside0.000381092
[0].mechanism.localized.error.mae.outside1.97608e-10
[0].mechanism.localized.error.bias.all-3.03864e-07
[0].mechanism.localized.error.bias.inside-9.65434e-06
[0].mechanism.localized.error.bias.outside1.97608e-10
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.023
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151477
[1].acoustic.peak0.375541
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz238.444
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00357094
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0852206
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00091583
[1].mechanism.mean_error.mse.all6.61898e-07
[1].mechanism.mean_error.mse.inside6.64568e-07
[1].mechanism.mean_error.mse.outside6.61812e-07
[1].mechanism.mean_error.mae.all0.000687975
[1].mechanism.mean_error.mae.inside0.000694667
[1].mechanism.mean_error.mae.outside0.000687758
[1].mechanism.mean_error.bias.all-1.13004e-06
[1].mechanism.mean_error.bias.inside7.82061e-05
[1].mechanism.mean_error.bias.outside-3.70992e-06
[1].mechanism.variance_error.mse.all8.05699e-09
[1].mechanism.variance_error.mse.inside2.54397e-07
[1].mechanism.variance_error.mse.outside4.64311e-11
[1].mechanism.variance_error.mae.all1.85466e-05
[1].mechanism.variance_error.mae.inside0.000379347
[1].mechanism.variance_error.mae.outside6.81404e-06
[1].mechanism.variance_error.bias.all-7.1181e-06
[1].mechanism.variance_error.bias.inside-1.64686e-05
[1].mechanism.variance_error.bias.outside-6.81404e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.48848e-06
[1].mechanism.localized.integrated_variance_error-7.77891e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0170356
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0994
[1].mechanism.localized.centroid_error_s0.001
[1].mechanism.localized.outside_integrated_variance4.89946e-11
[1].mechanism.localized.outside_fraction1.09156e-05
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.00641e-09
[1].mechanism.localized.error.mse.inside2.54219e-07
[1].mechanism.localized.error.mse.outside3.61764e-17
[1].mechanism.localized.error.mae.all1.20024e-05
[1].mechanism.localized.error.mae.inside0.000381092
[1].mechanism.localized.error.mae.outside1.97608e-10
[1].mechanism.localized.error.bias.all-3.03864e-07
[1].mechanism.localized.error.bias.inside-9.65434e-06
[1].mechanism.localized.error.bias.outside1.97608e-10
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.107
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[[196, 1]]
selected_unquantized.mean[0.126007553687846, -0.0003061542996378599, 0.05015923170080567, 0.0248405230025113, 0.0244369166379498, -0.012425633462164238, 0.013239232730383927, 0.0060500877526562455]
selected_unquantized.sigma2_raw0.000393186
selected_unquantized.sigma20.000393186
selected_unquantized.objective-13954.5
selected_unquantized.condition_number1.05547
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13954.5
direct_rss1.61049
rss_difference-2.17604e-14
sigma2_floor1.03945e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[[196, 1]]
top_candidates[0].mean[0.126007553687846, -0.0003061542996378599, 0.05015923170080567, 0.0248405230025113, 0.0244369166379498, -0.012425633462164238, 0.013239232730383927, 0.0060500877526562455]
top_candidates[0].sigma2_raw0.000393186
top_candidates[0].sigma20.000393186
top_candidates[0].objective-13954.5
top_candidates[0].condition_number1.05547
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[193, 1]]
top_candidates[1].mean[0.1260093947996894, -0.00030805422360878805, 0.05014408338808156, 0.024844157249044718, 0.024434473183751044, -0.012405816832074798, 0.013272987104580742, 0.006051734460159482]
top_candidates[1].sigma2_raw0.000393224
top_candidates[1].sigma20.000393224
top_candidates[1].objective-13954.3
top_candidates[1].condition_number1.05521
top_candidates[1].objective_gap0.200142
top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.86032e-10
top_candidates[1].edit_difference_from_selected.120.0.variance_mse7.86483e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.93775e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse7.86483e-09
top_candidates[2].q_index0
top_candidates[2].events[[191, 0]]
top_candidates[2].mean[0.12599089048163367, -0.0002868651273865406, 0.05018927950022447, 0.02484831403469403, 0.02442208668491077, -0.012432445362295628, 0.013238312549875115, 0.006068810065301872]
top_candidates[2].sigma2_raw0.000396257
top_candidates[2].sigma20.000396257
top_candidates[2].objective-13948.7
top_candidates[2].condition_number1.03809
top_candidates[2].objective_gap5.83615
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.11573e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.00715e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.11879e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.00715e-08
top_candidates[3].q_index0
top_candidates[3].events[[196, 1], [519, 0]]
top_candidates[3].mean[0.125993846383881, -0.0003419339382945694, 0.05013351777576515, 0.024862908113179934, 0.024460531219566903, -0.012412618619371263, 0.01324114916759776, 0.006033559559252622]
top_candidates[3].sigma2_raw0.000390794
top_candidates[3].sigma20.000390794
top_candidates[3].objective-13946.7
top_candidates[3].condition_number1.06399
top_candidates[3].objective_gap7.77788
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.81664e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.19863e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.82238e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.19863e-10
top_candidates[4].q_index0
top_candidates[4].events[[188, 0]]
top_candidates[4].mean[0.1259876264710635, -0.0002880391095007475, 0.05018825244921626, 0.024853802591260545, 0.024418238806576852, -0.012433323059406998, 0.013246972026705507, 0.006072587340870573]
top_candidates[4].sigma2_raw0.000396681
top_candidates[4].sigma20.000396681
top_candidates[4].objective-13946.5
top_candidates[4].condition_number1.0375
top_candidates[4].objective_gap8.02611
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.36111e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.121e-08
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.36112e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.121e-08
top_candidates[5].q_index0
top_candidates[5].events[[191, 1]]
top_candidates[5].mean[0.12596458599746133, -0.00032936736303841146, 0.05019605214177226, 0.02484281298843903, 0.024403252849566008, -0.012421036186568042, 0.01327464783585972, 0.0060757927624594]
top_candidates[5].sigma2_raw0.000386298
top_candidates[5].sigma20.000386298
top_candidates[5].objective-13946
top_candidates[5].condition_number1.03839
top_candidates[5].objective_gap8.51615
top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.42763e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse9.70042e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.4169e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse9.70042e-09
top_candidates[6].q_index0
top_candidates[6].events[[194, 0]]
top_candidates[6].mean[0.12599507504901217, -0.0002789325757555375, 0.05019574158856961, 0.024843172370491533, 0.02442451276681808, -0.012437011383023439, 0.01322328146813427, 0.006066969690829768]
top_candidates[6].sigma2_raw0.000396792
top_candidates[6].sigma20.000396792
top_candidates[6].objective-13945.9
top_candidates[6].condition_number1.03736
top_candidates[6].objective_gap8.59987
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.52376e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.06996e-08
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.53632e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.06996e-08
top_candidates[7].q_index0
top_candidates[7].events[[81, 0], [196, 1]]
top_candidates[7].mean[0.12599558894162727, -0.00032704954442002294, 0.05018045856155287, 0.02481720742698644, 0.024468211465981562, -0.012405600174580193, 0.013224466113241079, 0.006085633332979856]
top_candidates[7].sigma2_raw0.000391009
top_candidates[7].sigma20.000391009
top_candidates[7].objective-13945.6
top_candidates[7].condition_number1.0547
top_candidates[7].objective_gap8.90066
top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.23573e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.20281e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.22721e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.20281e-10
top_candidates[8].q_index0
top_candidates[8].events[[196, 1], [517, 0]]
top_candidates[8].mean[0.1259797566568871, -0.00035413939558755295, 0.050140047989160164, 0.024872424351092572, 0.024466199504684056, -0.012429682589852654, 0.013240619463058052, 0.0060300908653218716]
top_candidates[8].sigma2_raw0.000389364
top_candidates[8].sigma20.000389364
top_candidates[8].objective-13945.6
top_candidates[8].condition_number1.06663
top_candidates[8].objective_gap8.91957
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.87923e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.22214e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.87826e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.22214e-09
top_candidates[9].q_index0
top_candidates[9].events[[196, 1], [390, 0]]
top_candidates[9].mean[0.12602575029568755, -0.00028453109464637833, 0.050158278811629084, 0.024798325679386654, 0.024407260769032418, -0.012378550120700767, 0.013294892849866688, 0.006023896471536914]
top_candidates[9].sigma2_raw0.000391111
top_candidates[9].sigma20.000391111
top_candidates[9].objective-13945.1
top_candidates[9].condition_number1.05226
top_candidates[9].objective_gap9.43508
top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.75448e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.2052e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.74849e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.2052e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13282
mean_gain_prepass.rss2.29891
mean_gain_prepass.sigma20.000561259
mean_gain_prepass.direct_rss2.29891
mean_gain_prepass.rss_difference-4.66294e-14
mean_gain_prepass.direct_objective-13282
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03945e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13954.5
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-13954.5
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-13954.5
branch_diagnostics[0].diagnostics.selected_unquantized.q_index0
branch_diagnostics[0].diagnostics.selected_unquantized.events[[196, 1]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.126007553687846, -0.0003061542996378599, 0.05015923170080567, 0.0248405230025113, 0.0244369166379498, -0.012425633462164238, 0.013239232730383927, 0.0060500877526562455]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000393186
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000393186
branch_diagnostics[0].diagnostics.selected_unquantized.objective-13954.5
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number1.05547
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-13954.5
branch_diagnostics[0].diagnostics.direct_rss1.61049
branch_diagnostics[0].diagnostics.rss_difference-2.17604e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.03945e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1590
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1590
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1590
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1590
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1590
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1518
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branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1653
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1653
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1608
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1590
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1590
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1590
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1608
branch_diagnostics[1].diagnostics.top_candidates[0].q_index0
branch_diagnostics[1].diagnostics.top_candidates[0].events[[196, 1], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10395070640347208, -0.00033404423007587586, 0.04112375368740242, 0.020394104195955026, 0.02007807629718573, -0.010277627267512574, 0.010924619335858012, 0.00499992189048932]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000516994
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000516994
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13292.8
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number1.04478
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index2
branch_diagnostics[1].diagnostics.top_candidates[1].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10445542378849872, -0.00026003545038238236, 0.041373555710621145, 0.0205202471615094, 0.02016491415409447, -0.010280564856595065, 0.011027291614037347, 0.005142428662419748]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000563549
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000563549
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13290.5
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number1.63265
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap2.36546
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse2.71434e-07
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.00563e-07
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse2.70976e-07
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.00502e-07
branch_diagnostics[1].diagnostics.top_candidates[2].q_index2
branch_diagnostics[1].diagnostics.top_candidates[2].events[[193, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.1041972945802117, -0.00029746327570075073, 0.041286953847163944, 0.020466160660543527, 0.020146174956225883, -0.01025808892007495, 0.010999877631792464, 0.005102618779115877]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000550736
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000550736
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13290.4
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number1.63028
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap2.40622
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse8.30361e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.9351e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse8.28819e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.94389e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index2
branch_diagnostics[1].diagnostics.top_candidates[3].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10447555638744692, -0.00028453863735573333, 0.04137723134416779, 0.020507638849701762, 0.02017206580533067, -0.010268917184973777, 0.011066754724078389, 0.0051371634683485615]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000556026
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000556026
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13289.9
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.62725
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap2.92585
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.90141e-07
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse9.26219e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.89628e-07
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse9.2062e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index0
branch_diagnostics[1].diagnostics.top_candidates[4].events[[196, 1], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10423492519667926, -0.00029823100345645565, 0.04130006416279541, 0.020449224419722516, 0.02015821047311534, -0.010278744583939623, 0.010974194865964935, 0.0050300327212159145]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000531945
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000531945
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13289.3
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.04326
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap3.57361
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse9.04739e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse3.77667e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse9.03774e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse3.77667e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index2
branch_diagnostics[1].diagnostics.top_candidates[5].events[[195, 1]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10443646105161936, -0.00028840160882229204, 0.041345448279686184, 0.02053019764500719, 0.02015878123790193, -0.010275006295387705, 0.011005291531841318, 0.005149394111560084]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000562455
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000562455
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13289
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.63992
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap3.77993
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.45785e-07
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse9.8257e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.45329e-07
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse9.77728e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index2
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 0], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10418808254256794, -0.000279193874327168, 0.0412672985354855, 0.020462464892397815, 0.020127749264966056, -0.01026386641505378, 0.010995198073275326, 0.005109254142600144]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000551488
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000551488
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13288.5
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.63503
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap4.33256
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse7.51464e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse7.20332e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse7.50069e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse7.08598e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index1
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10418594779291003, -0.00026477293601199337, 0.041301951744923744, 0.02045290671009348, 0.020149390793210795, -0.01026373903500166, 0.010948696061600286, 0.005087019156632955]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000552628
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000552628
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13288.2
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.67708
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap4.66042
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.8329e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.89931e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.8238e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.59007e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index1
branch_diagnostics[1].diagnostics.top_candidates[8].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.1044532698767849, -0.00025325916921543, 0.04137679946133637, 0.02052157007100579, 0.020164499662960186, -0.01028417690806469, 0.010978060831276714, 0.00513029609074147]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000565914
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000565914
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13287.6
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.68459
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap5.26483
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.64041e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.01035e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.63639e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse9.65373e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[191, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10446570063173365, -0.0002713637285767483, 0.041402311268517726, 0.02052839873150997, 0.020159520845459702, -0.010290566447306542, 0.011038917817942917, 0.005155744001536982]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000559785
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000559785
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13287.4
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.63867
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap5.43725
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.94444e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse9.6252e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.93954e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse9.60643e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[[196, 1]]
selected_unquantized.mean[0.126007553687846, -0.0003061542996378599, 0.05015923170080567, 0.0248405230025113, 0.0244369166379498, -0.012425633462164238, 0.013239232730383927, 0.0060500877526562455]
selected_unquantized.sigma2_raw0.000393186
selected_unquantized.sigma20.000393186
selected_unquantized.objective-13954.5
selected_unquantized.condition_number1.05547
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13954.5
direct_rss1.61049
rss_difference-2.17604e-14
sigma2_floor1.03945e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1518
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[[196, 1]]
top_candidates[0].mean[0.126007553687846, -0.0003061542996378599, 0.05015923170080567, 0.0248405230025113, 0.0244369166379498, -0.012425633462164238, 0.013239232730383927, 0.0060500877526562455]
top_candidates[0].sigma2_raw0.000393186
top_candidates[0].sigma20.000393186
top_candidates[0].objective-13954.5
top_candidates[0].condition_number1.05547
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[193, 1]]
top_candidates[1].mean[0.1260093947996894, -0.00030805422360878805, 0.05014408338808156, 0.024844157249044718, 0.024434473183751044, -0.012405816832074798, 0.013272987104580742, 0.006051734460159482]
top_candidates[1].sigma2_raw0.000393224
top_candidates[1].sigma20.000393224
top_candidates[1].objective-13954.3
top_candidates[1].condition_number1.05521
top_candidates[1].objective_gap0.200142
top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.86032e-10
top_candidates[1].edit_difference_from_selected.120.0.variance_mse7.86483e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.93775e-10
top_candidates[1].edit_difference_from_selected.140.0.variance_mse7.86483e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[191, 0]]
top_candidates[2].mean[0.12599089048163367, -0.0002868651273865406, 0.05018927950022447, 0.02484831403469403, 0.02442208668491077, -0.012432445362295628, 0.013238312549875115, 0.006068810065301872]
top_candidates[2].sigma2_raw0.000396257
top_candidates[2].sigma20.000396257
top_candidates[2].objective-13948.7
top_candidates[2].condition_number1.03809
top_candidates[2].objective_gap5.83615
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top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.00715e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.11879e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.00715e-08
top_candidates[3].coupling_flag0
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top_candidates[3].events[[196, 1], [519, 0]]
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top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.81664e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.19863e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.82238e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.19863e-10
top_candidates[4].coupling_flag0
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top_candidates[4].events[[188, 0]]
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top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.121e-08
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.36112e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.121e-08
top_candidates[5].coupling_flag0
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top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.4169e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse9.70042e-09
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top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.53632e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.06996e-08
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top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.22721e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.20281e-10
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.87826e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.22214e-09
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top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.2052e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.74849e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.2052e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13282
mean_gain_prepass.rss2.29891
mean_gain_prepass.sigma20.000561259
mean_gain_prepass.direct_rss2.29891
mean_gain_prepass.rss_difference-4.66294e-14
mean_gain_prepass.direct_objective-13282
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03945e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13954.5
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[5].q_index2
branch_diagnostics[3].diagnostics.top_candidates[5].events[[193, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10445677341969276, -0.00025716684122243933, 0.04137939484964089, 0.020521192976947378, 0.02016738681620385, -0.010286085461833853, 0.011023258066754684, 0.005143837995717415]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000564193
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000564193
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13289.7
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.63737
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap3.17042
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse5.88493e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.04889e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.87786e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.98967e-08
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index2
branch_diagnostics[3].diagnostics.top_candidates[6].events[[195, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10443807960491255, -0.0002847375526217608, 0.04134883741614263, 0.020529096648084538, 0.02015829497706001, -0.010276821456961885, 0.011005069804411923, 0.005150650342659127]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000562881
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000562881
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13289.4
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.64102
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap3.4525
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.8883e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.29031e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.87989e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.33291e-08
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index1
branch_diagnostics[3].diagnostics.top_candidates[7].events[[578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10417509615351946, -0.00023644610729058356, 0.04129374181606097, 0.02046518964409872, 0.020130945825964766, -0.010300332882708041, 0.010906635897032295, 0.005097061974055231]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000560637
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000560637
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13288.9
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.67051
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap4.01886
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.82523e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse3.38767e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.83112e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse3.26052e-08
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index1
branch_diagnostics[3].diagnostics.top_candidates[8].events[[193, 1], [578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10420951781529679, -0.00029422370344241443, 0.04127749726713638, 0.020438216855928656, 0.020146719052374126, -0.010262071424285877, 0.010982667094011252, 0.00508142177977675]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000545623
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000545623
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13288.1
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.6974
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap4.75526
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.10858e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.06405e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.11079e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.03146e-08
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index1
branch_diagnostics[3].diagnostics.top_candidates[9].events[[196, 0], [578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10419848445436118, -0.0002675709405026869, 0.04129873906439777, 0.02045303581527693, 0.02014502267092654, -0.0102932194204609, 0.010928982687002287, 0.005090924883981723]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000552994
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000552994
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13288.1
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.69347
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap4.83285
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.03383e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.07915e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.03755e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.0345e-08
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13966.1
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-13954.5
best_by_coupling_flag.0.objective_with_gain_penalty-13954.5
best_by_coupling_flag.0.objective_without_coupling_penalty-13954.5
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13954.5
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[[196, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13932.3
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13920.7
best_by_coupling_flag.1.objective_with_gain_penalty-13920.7
best_by_coupling_flag.1.objective_without_coupling_penalty-13920.7
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13920
best_by_coupling_flag.1.q_index6
best_by_coupling_flag.1.events[[196, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty33.829
coupling_score_gap_eta1_minus_eta0_with_new_penalty34.5222
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C2 局在増分のみ / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149187
[0].acoustic.peak0.347078
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz206.492
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.882
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.145519
[1].acoustic.peak0.351255
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz204.777
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.858
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156952
[0].acoustic.peak0.400213
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.03
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.94
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152612
[0].acoustic.peak0.422001
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.104
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000570736
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00040594
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000576095
[0].mechanism.mean_error.mse.all4.19183e-07
[0].mechanism.mean_error.mse.inside4.25993e-07
[0].mechanism.mean_error.mse.outside4.18962e-07
[0].mechanism.mean_error.mae.all0.000532958
[0].mechanism.mean_error.mae.inside0.000537916
[0].mechanism.mean_error.mae.outside0.000532797
[0].mechanism.mean_error.bias.all5.45572e-07
[0].mechanism.mean_error.bias.inside-9.5899e-06
[0].mechanism.mean_error.bias.outside8.7516e-07
[0].mechanism.variance_error.mse.all3.47452e-11
[0].mechanism.variance_error.mse.inside2.27271e-10
[0].mechanism.variance_error.mse.outside2.84846e-11
[0].mechanism.variance_error.mae.all5.57509e-06
[0].mechanism.variance_error.mae.inside1.28939e-05
[0].mechanism.variance_error.mae.outside5.3371e-06
[0].mechanism.variance_error.bias.all-5.57509e-06
[0].mechanism.variance_error.bias.inside-1.28939e-05
[0].mechanism.variance_error.bias.outside-5.3371e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.50535e-06
[0].mechanism.localized.integrated_variance_error-6.09266e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0133427
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.72019e-12
[0].mechanism.localized.error.mse.inside1.18123e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.37995e-07
[0].mechanism.localized.error.mae.inside7.55679e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.37995e-07
[0].mechanism.localized.error.bias.inside-7.55679e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.952
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152798
[1].acoustic.peak0.377417
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.945
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000570736
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00040594
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000576095
[1].mechanism.mean_error.mse.all4.19183e-07
[1].mechanism.mean_error.mse.inside4.25993e-07
[1].mechanism.mean_error.mse.outside4.18962e-07
[1].mechanism.mean_error.mae.all0.000532958
[1].mechanism.mean_error.mae.inside0.000537916
[1].mechanism.mean_error.mae.outside0.000532797
[1].mechanism.mean_error.bias.all5.45572e-07
[1].mechanism.mean_error.bias.inside-9.5899e-06
[1].mechanism.mean_error.bias.outside8.7516e-07
[1].mechanism.variance_error.mse.all3.47452e-11
[1].mechanism.variance_error.mse.inside2.27271e-10
[1].mechanism.variance_error.mse.outside2.84846e-11
[1].mechanism.variance_error.mae.all5.57509e-06
[1].mechanism.variance_error.mae.inside1.28939e-05
[1].mechanism.variance_error.mae.outside5.3371e-06
[1].mechanism.variance_error.bias.all-5.57509e-06
[1].mechanism.variance_error.bias.inside-1.28939e-05
[1].mechanism.variance_error.bias.outside-5.3371e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.50535e-06
[1].mechanism.localized.integrated_variance_error-6.09266e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0133427
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.72019e-12
[1].mechanism.localized.error.mse.inside1.18123e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.37995e-07
[1].mechanism.localized.error.mae.inside7.55679e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.37995e-07
[1].mechanism.localized.error.bias.inside-7.55679e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.928
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152612
[0].acoustic.peak0.422001
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.104
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000570736
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00040594
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000576095
[0].mechanism.mean_error.mse.all4.19183e-07
[0].mechanism.mean_error.mse.inside4.25993e-07
[0].mechanism.mean_error.mse.outside4.18962e-07
[0].mechanism.mean_error.mae.all0.000532958
[0].mechanism.mean_error.mae.inside0.000537916
[0].mechanism.mean_error.mae.outside0.000532797
[0].mechanism.mean_error.bias.all5.45572e-07
[0].mechanism.mean_error.bias.inside-9.5899e-06
[0].mechanism.mean_error.bias.outside8.7516e-07
[0].mechanism.variance_error.mse.all3.47452e-11
[0].mechanism.variance_error.mse.inside2.27271e-10
[0].mechanism.variance_error.mse.outside2.84846e-11
[0].mechanism.variance_error.mae.all5.57509e-06
[0].mechanism.variance_error.mae.inside1.28939e-05
[0].mechanism.variance_error.mae.outside5.3371e-06
[0].mechanism.variance_error.bias.all-5.57509e-06
[0].mechanism.variance_error.bias.inside-1.28939e-05
[0].mechanism.variance_error.bias.outside-5.3371e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.50535e-06
[0].mechanism.localized.integrated_variance_error-6.09266e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0133427
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.72019e-12
[0].mechanism.localized.error.mse.inside1.18123e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.37995e-07
[0].mechanism.localized.error.mae.inside7.55679e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.37995e-07
[0].mechanism.localized.error.bias.inside-7.55679e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.952
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152798
[1].acoustic.peak0.377417
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.945
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000570736
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00040594
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000576095
[1].mechanism.mean_error.mse.all4.19183e-07
[1].mechanism.mean_error.mse.inside4.25993e-07
[1].mechanism.mean_error.mse.outside4.18962e-07
[1].mechanism.mean_error.mae.all0.000532958
[1].mechanism.mean_error.mae.inside0.000537916
[1].mechanism.mean_error.mae.outside0.000532797
[1].mechanism.mean_error.bias.all5.45572e-07
[1].mechanism.mean_error.bias.inside-9.5899e-06
[1].mechanism.mean_error.bias.outside8.7516e-07
[1].mechanism.variance_error.mse.all3.47452e-11
[1].mechanism.variance_error.mse.inside2.27271e-10
[1].mechanism.variance_error.mse.outside2.84846e-11
[1].mechanism.variance_error.mae.all5.57509e-06
[1].mechanism.variance_error.mae.inside1.28939e-05
[1].mechanism.variance_error.mae.outside5.3371e-06
[1].mechanism.variance_error.bias.all-5.57509e-06
[1].mechanism.variance_error.bias.inside-1.28939e-05
[1].mechanism.variance_error.bias.outside-5.3371e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.50535e-06
[1].mechanism.localized.integrated_variance_error-6.09266e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0133427
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.72019e-12
[1].mechanism.localized.error.mse.inside1.18123e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.37995e-07
[1].mechanism.localized.error.mae.inside7.55679e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.37995e-07
[1].mechanism.localized.error.bias.inside-7.55679e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.928
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.140991
[0].acoustic.peak0.346232
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz227.649
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.868
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.141425
[1].acoustic.peak0.360435
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz228.186
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.745
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151062
[0].acoustic.peak0.352667
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz224.604
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.942
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15149
[0].acoustic.peak0.384419
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz242.032
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000568086
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000385046
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000574038
[0].mechanism.mean_error.mse.all4.17962e-07
[0].mechanism.mean_error.mse.inside4.37147e-07
[0].mechanism.mean_error.mse.outside4.17338e-07
[0].mechanism.mean_error.mae.all0.000531963
[0].mechanism.mean_error.mae.inside0.000546058
[0].mechanism.mean_error.mae.outside0.000531505
[0].mechanism.mean_error.bias.all-4.89829e-07
[0].mechanism.mean_error.bias.inside3.3589e-05
[0].mechanism.mean_error.bias.outside-1.59801e-06
[0].mechanism.variance_error.mse.all3.47452e-11
[0].mechanism.variance_error.mse.inside2.27271e-10
[0].mechanism.variance_error.mse.outside2.84846e-11
[0].mechanism.variance_error.mae.all5.57509e-06
[0].mechanism.variance_error.mae.inside1.28939e-05
[0].mechanism.variance_error.mae.outside5.3371e-06
[0].mechanism.variance_error.bias.all-5.57509e-06
[0].mechanism.variance_error.bias.inside-1.28939e-05
[0].mechanism.variance_error.bias.outside-5.3371e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.50535e-06
[0].mechanism.localized.integrated_variance_error-6.09266e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0133427
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.72019e-12
[0].mechanism.localized.error.mse.inside1.18123e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.37995e-07
[0].mechanism.localized.error.mae.inside7.55679e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.37995e-07
[0].mechanism.localized.error.bias.inside-7.55679e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.033
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150901
[1].acoustic.peak0.38078
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz236.696
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000568086
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000385046
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000574038
[1].mechanism.mean_error.mse.all4.17962e-07
[1].mechanism.mean_error.mse.inside4.37147e-07
[1].mechanism.mean_error.mse.outside4.17338e-07
[1].mechanism.mean_error.mae.all0.000531963
[1].mechanism.mean_error.mae.inside0.000546058
[1].mechanism.mean_error.mae.outside0.000531505
[1].mechanism.mean_error.bias.all-4.89829e-07
[1].mechanism.mean_error.bias.inside3.3589e-05
[1].mechanism.mean_error.bias.outside-1.59801e-06
[1].mechanism.variance_error.mse.all3.47452e-11
[1].mechanism.variance_error.mse.inside2.27271e-10
[1].mechanism.variance_error.mse.outside2.84846e-11
[1].mechanism.variance_error.mae.all5.57509e-06
[1].mechanism.variance_error.mae.inside1.28939e-05
[1].mechanism.variance_error.mae.outside5.3371e-06
[1].mechanism.variance_error.bias.all-5.57509e-06
[1].mechanism.variance_error.bias.inside-1.28939e-05
[1].mechanism.variance_error.bias.outside-5.3371e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.50535e-06
[1].mechanism.localized.integrated_variance_error-6.09266e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0133427
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.72019e-12
[1].mechanism.localized.error.mse.inside1.18123e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.37995e-07
[1].mechanism.localized.error.mae.inside7.55679e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.37995e-07
[1].mechanism.localized.error.bias.inside-7.55679e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.026
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15149
[0].acoustic.peak0.384419
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz242.032
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition2
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000568086
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000385046
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000574038
[0].mechanism.mean_error.mse.all4.17962e-07
[0].mechanism.mean_error.mse.inside4.37147e-07
[0].mechanism.mean_error.mse.outside4.17338e-07
[0].mechanism.mean_error.mae.all0.000531963
[0].mechanism.mean_error.mae.inside0.000546058
[0].mechanism.mean_error.mae.outside0.000531505
[0].mechanism.mean_error.bias.all-4.89829e-07
[0].mechanism.mean_error.bias.inside3.3589e-05
[0].mechanism.mean_error.bias.outside-1.59801e-06
[0].mechanism.variance_error.mse.all3.47452e-11
[0].mechanism.variance_error.mse.inside2.27271e-10
[0].mechanism.variance_error.mse.outside2.84846e-11
[0].mechanism.variance_error.mae.all5.57509e-06
[0].mechanism.variance_error.mae.inside1.28939e-05
[0].mechanism.variance_error.mae.outside5.3371e-06
[0].mechanism.variance_error.bias.all-5.57509e-06
[0].mechanism.variance_error.bias.inside-1.28939e-05
[0].mechanism.variance_error.bias.outside-5.3371e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.50535e-06
[0].mechanism.localized.integrated_variance_error-6.09266e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0133427
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.72019e-12
[0].mechanism.localized.error.mse.inside1.18123e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.37995e-07
[0].mechanism.localized.error.mae.inside7.55679e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.37995e-07
[0].mechanism.localized.error.bias.inside-7.55679e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.033
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150901
[1].acoustic.peak0.38078
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz236.696
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition2
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000568086
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000385046
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000574038
[1].mechanism.mean_error.mse.all4.17962e-07
[1].mechanism.mean_error.mse.inside4.37147e-07
[1].mechanism.mean_error.mse.outside4.17338e-07
[1].mechanism.mean_error.mae.all0.000531963
[1].mechanism.mean_error.mae.inside0.000546058
[1].mechanism.mean_error.mae.outside0.000531505
[1].mechanism.mean_error.bias.all-4.89829e-07
[1].mechanism.mean_error.bias.inside3.3589e-05
[1].mechanism.mean_error.bias.outside-1.59801e-06
[1].mechanism.variance_error.mse.all3.47452e-11
[1].mechanism.variance_error.mse.inside2.27271e-10
[1].mechanism.variance_error.mse.outside2.84846e-11
[1].mechanism.variance_error.mae.all5.57509e-06
[1].mechanism.variance_error.mae.inside1.28939e-05
[1].mechanism.variance_error.mae.outside5.3371e-06
[1].mechanism.variance_error.bias.all-5.57509e-06
[1].mechanism.variance_error.bias.inside-1.28939e-05
[1].mechanism.variance_error.bias.outside-5.3371e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.50535e-06
[1].mechanism.localized.integrated_variance_error-6.09266e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0133427
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.72019e-12
[1].mechanism.localized.error.mse.inside1.18123e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.37995e-07
[1].mechanism.localized.error.mae.inside7.55679e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.37995e-07
[1].mechanism.localized.error.bias.inside-7.55679e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.026
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12593949773486698, -0.00028639358420719225, 0.05089229674513253, 0.0255053824092033, 0.025259499649490206, -0.012787794007607387, 0.01246719870088135, 0.006836106477478266]
selected_unquantized.sigma2_raw0.000394663
selected_unquantized.sigma20.000394663
selected_unquantized.objective-13946.8
selected_unquantized.condition_number1.05521
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13946.8
direct_rss1.61654
rss_difference6.79456e-14
sigma2_floor1.04579e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].q_index0
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12593949773486698, -0.00028639358420719225, 0.05089229674513253, 0.0255053824092033, 0.025259499649490206, -0.012787794007607387, 0.01246719870088135, 0.006836106477478266]
top_candidates[0].sigma2_raw0.000394663
top_candidates[0].sigma20.000394663
top_candidates[0].objective-13946.8
top_candidates[0].condition_number1.05521
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[193, 2]]
top_candidates[1].mean[0.12596895256584476, -0.00025961222383849835, 0.05089637802387591, 0.025526340906166987, 0.025304632005060064, -0.012758046061683452, 0.012519163957895643, 0.006794685286699257]
top_candidates[1].sigma2_raw0.000387539
top_candidates[1].sigma20.000387539
top_candidates[1].objective-13940
top_candidates[1].condition_number1.06038
top_candidates[1].objective_gap6.83812
top_candidates[1].edit_difference_from_selected.120.0.mean_mse4.65479e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.73694e-07
top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.6643e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.73694e-07
top_candidates[2].q_index0
top_candidates[2].events[[190, 1]]
top_candidates[2].mean[0.12592350034097807, -0.00029824814523213516, 0.05086454463918213, 0.025466669117202096, 0.025213018869025893, -0.01277581013563868, 0.012454157311885542, 0.00682115659906698]
top_candidates[2].sigma2_raw0.00039605
top_candidates[2].sigma20.00039605
top_candidates[2].objective-13939.6
top_candidates[2].condition_number1.05102
top_candidates[2].objective_gap7.18528
top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.66918e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse7.95345e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.67514e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse7.95345e-09
top_candidates[3].q_index0
top_candidates[3].events[[81, 0], [193, 1]]
top_candidates[3].mean[0.12592603093649024, -0.00027685739874037176, 0.05087976984126503, 0.025486397298659307, 0.025273183265828274, -0.012804198930702573, 0.012485995523178771, 0.006835798052259108]
top_candidates[3].sigma2_raw0.000392322
top_candidates[3].sigma20.000392322
top_candidates[3].objective-13938.7
top_candidates[3].condition_number1.05156
top_candidates[3].objective_gap8.08793
top_candidates[3].edit_difference_from_selected.120.0.mean_mse8.05992e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.24634e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse8.02622e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.24634e-10
top_candidates[4].q_index0
top_candidates[4].events[[79, 0], [193, 1]]
top_candidates[4].mean[0.12588438638380708, -0.00026838320487123713, 0.050872506661004305, 0.02544115925493867, 0.025273611974775186, -0.012800259003731041, 0.012477720356045066, 0.006805559158164499]
top_candidates[4].sigma2_raw0.000390781
top_candidates[4].sigma20.000390781
top_candidates[4].objective-13938.1
top_candidates[4].condition_number1.04604
top_candidates[4].objective_gap8.6813
top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.6775e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.23109e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.65746e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.23109e-09
top_candidates[5].q_index0
top_candidates[5].events[[193, 1], [480, 0]]
top_candidates[5].mean[0.12594676362643864, -0.00028055267391649134, 0.05089131133851274, 0.02551372951043173, 0.0252581126660972, -0.01278799247171978, 0.012476234838996505, 0.0068436556429622665]
top_candidates[5].sigma2_raw0.000392492
top_candidates[5].sigma20.000392492
top_candidates[5].objective-13937.9
top_candidates[5].condition_number1.05252
top_candidates[5].objective_gap8.97285
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.49652e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.24982e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.49124e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.24982e-10
top_candidates[6].q_index0
top_candidates[6].events[[193, 1], [531, 0]]
top_candidates[6].mean[0.12595325547126582, -0.0002568743728281506, 0.05087529767147572, 0.025528200133851164, 0.02523612180994667, -0.012789786091366946, 0.012456474314854584, 0.006818680386715012]
top_candidates[6].sigma2_raw0.000392505
top_candidates[6].sigma20.000392505
top_candidates[6].objective-13937.8
top_candidates[6].condition_number1.05156
top_candidates[6].objective_gap9.04109
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.42852e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.25011e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.42443e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.25011e-10
top_candidates[7].q_index0
top_candidates[7].events[[193, 1], [529, 0]]
top_candidates[7].mean[0.1259518277019771, -0.0002628289067260109, 0.05085826600045541, 0.025525914385280343, 0.025240296007666533, -0.012811470411984275, 0.01245500049219325, 0.006817864271458228]
top_candidates[7].sigma2_raw0.000390899
top_candidates[7].sigma20.000390899
top_candidates[7].objective-13937.5
top_candidates[7].condition_number1.04604
top_candidates[7].objective_gap9.3009
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.86166e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.23176e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.85528e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.23176e-09
top_candidates[8].q_index0
top_candidates[8].events[[188, 1]]
top_candidates[8].mean[0.1259598954648489, -0.0002521465395944793, 0.050897155097030675, 0.02552460041343578, 0.02522900232849872, -0.012790879980967094, 0.012536878882688509, 0.0067931593551036895]
top_candidates[8].sigma2_raw0.000387915
top_candidates[8].sigma20.000387915
top_candidates[8].objective-13937.4
top_candidates[8].condition_number1.03696
top_candidates[8].objective_gap9.39336
top_candidates[8].edit_difference_from_selected.120.0.mean_mse4.82863e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse9.789e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.81545e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse9.789e-09
top_candidates[9].q_index0
top_candidates[9].events[[193, 1], [478, 0]]
top_candidates[9].mean[0.1259428460420084, -0.00028957901101576576, 0.05088082251097737, 0.025524019804733664, 0.025233426235000894, -0.01279362653914709, 0.012475646519378814, 0.0068275284721499175]
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top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.23191e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.81857e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.23191e-09
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core_bytes_without_source_clock45
core_bytes_with_source_clock53
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mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
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mean_gain_prepass.rss2.33843
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mean_gain_prepass.direct_rss2.33843
mean_gain_prepass.rss_difference5.90639e-14
mean_gain_prepass.direct_objective-13247.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
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mean_gain_prepass.sigma2_floor1.04579e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-13946.8
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[0].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse6.84004e-10
branch_diagnostics[0].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.23191e-09
branch_diagnostics[0].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.81857e-10
branch_diagnostics[0].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.23191e-09
branch_diagnostics[0].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[0].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[0].diagnostics.core_bytes_with_source_clock53
branch_diagnostics[1].mode1
branch_diagnostics[1].gain.mode1
branch_diagnostics[1].gain.center_index96
branch_diagnostics[1].gain.width_index2
branch_diagnostics[1].gain.alpha_index2
branch_diagnostics[1].objective_without_gain_penalty-13283.9
branch_diagnostics[1].gain_penalty_nats11.624
branch_diagnostics[1].objective_with_gain_penalty-13272.3
branch_diagnostics[1].diagnostics.selected_unquantized.q_index0
branch_diagnostics[1].diagnostics.selected_unquantized.events[[193, 1], [578, 1]]
branch_diagnostics[1].diagnostics.selected_unquantized.mean[0.10377747291073922, -0.00012890096010180992, 0.04196628718963219, 0.020925723088279058, 0.020799303349339614, -0.010630475306025905, 0.010307852940826007, 0.005633077474010168]
branch_diagnostics[1].diagnostics.selected_unquantized.sigma2_raw0.000519248
branch_diagnostics[1].diagnostics.selected_unquantized.sigma20.000519248
branch_diagnostics[1].diagnostics.selected_unquantized.objective-13283.9
branch_diagnostics[1].diagnostics.selected_unquantized.condition_number1.0454
branch_diagnostics[1].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.direct_objective-13283.9
branch_diagnostics[1].diagnostics.direct_rss2.12684
branch_diagnostics[1].diagnostics.rss_difference9.76996e-15
branch_diagnostics[1].diagnostics.sigma2_floor1.04579e-12
branch_diagnostics[1].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[1].diagnostics.max_condition_number12.2659
branch_diagnostics[1].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[1].diagnostics.candidate_counts[0].zero1
branch_diagnostics[1].diagnostics.candidate_counts[0].one1737
branch_diagnostics[1].diagnostics.candidate_counts[0].two1590
branch_diagnostics[1].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[1].diagnostics.candidate_counts[1].zero1
branch_diagnostics[1].diagnostics.candidate_counts[1].one1737
branch_diagnostics[1].diagnostics.candidate_counts[1].two1590
branch_diagnostics[1].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[1].diagnostics.candidate_counts[2].zero1
branch_diagnostics[1].diagnostics.candidate_counts[2].one1737
branch_diagnostics[1].diagnostics.candidate_counts[2].two1590
branch_diagnostics[1].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[1].diagnostics.candidate_counts[3].zero1
branch_diagnostics[1].diagnostics.candidate_counts[3].one1737
branch_diagnostics[1].diagnostics.candidate_counts[3].two1590
branch_diagnostics[1].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[1].diagnostics.candidate_counts[4].zero1
branch_diagnostics[1].diagnostics.candidate_counts[4].one1737
branch_diagnostics[1].diagnostics.candidate_counts[4].two1590
branch_diagnostics[1].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[1].diagnostics.candidate_counts[5].zero1
branch_diagnostics[1].diagnostics.candidate_counts[5].one1737
branch_diagnostics[1].diagnostics.candidate_counts[5].two1590
branch_diagnostics[1].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[1].diagnostics.candidate_counts[6].zero1
branch_diagnostics[1].diagnostics.candidate_counts[6].one1737
branch_diagnostics[1].diagnostics.candidate_counts[6].two1590
branch_diagnostics[1].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[1].diagnostics.candidate_counts[7].zero1
branch_diagnostics[1].diagnostics.candidate_counts[7].one1737
branch_diagnostics[1].diagnostics.candidate_counts[7].two1590
branch_diagnostics[1].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[1].diagnostics.candidate_counts[8].zero1
branch_diagnostics[1].diagnostics.candidate_counts[8].one1737
branch_diagnostics[1].diagnostics.candidate_counts[8].two1590
branch_diagnostics[1].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[1].diagnostics.candidate_counts[9].zero1
branch_diagnostics[1].diagnostics.candidate_counts[9].one1737
branch_diagnostics[1].diagnostics.candidate_counts[9].two1626
branch_diagnostics[1].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
branch_diagnostics[1].diagnostics.candidate_counts[10].one1737
branch_diagnostics[1].diagnostics.candidate_counts[10].two1590
branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[1].diagnostics.candidate_counts[11].zero1
branch_diagnostics[1].diagnostics.candidate_counts[11].one1737
branch_diagnostics[1].diagnostics.candidate_counts[11].two1590
branch_diagnostics[1].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[1].diagnostics.candidate_counts[12].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[1].diagnostics.candidate_counts[13].zero1
branch_diagnostics[1].diagnostics.candidate_counts[13].one1737
branch_diagnostics[1].diagnostics.candidate_counts[13].two1653
branch_diagnostics[1].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[1].diagnostics.candidate_counts[14].zero1
branch_diagnostics[1].diagnostics.candidate_counts[14].one1737
branch_diagnostics[1].diagnostics.candidate_counts[14].two1653
branch_diagnostics[1].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[1].diagnostics.candidate_counts[15].zero1
branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1653
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1653
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1653
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1626
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1590
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1590
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index0
branch_diagnostics[1].diagnostics.top_candidates[0].events[[193, 1], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10377747291073922, -0.00012890096010180992, 0.04196628718963219, 0.020925723088279058, 0.020799303349339614, -0.010630475306025905, 0.010307852940826007, 0.005633077474010168]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000519248
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000519248
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13283.9
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number1.0454
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index0
branch_diagnostics[1].diagnostics.top_candidates[1].events[[193, 1], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10407180360901208, -0.00013534896869059926, 0.042095682404204596, 0.02100443214367218, 0.020866339018860154, -0.010641157029087293, 0.01034667343121179, 0.0056580462155297415]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.00053382
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.00053382
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13282
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number1.04515
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap1.87147
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.36319e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse3.81332e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.35058e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse3.81332e-08
branch_diagnostics[1].diagnostics.top_candidates[2].q_index0
branch_diagnostics[1].diagnostics.top_candidates[2].events[[193, 1], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10405415978014672, -0.0001363547934336064, 0.04206700606834412, 0.02100519054764242, 0.02084944125116438, -0.010642328236399858, 0.01033597978125773, 0.005670772497245869]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000533829
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000533829
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13282
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number1.04681
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap1.90809
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.04651e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.0089e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.03446e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.0089e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index0
branch_diagnostics[1].diagnostics.top_candidates[3].events[[193, 1], [572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.1040645746053124, -0.00014793181056758722, 0.042041711514548046, 0.021012404761669837, 0.02083892050956268, -0.010638131387316204, 0.010336770249146096, 0.00568456829248056]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000534319
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000534319
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13280.1
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.0504
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap3.78455
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.28127e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse4.51487e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.26733e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse4.51487e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index0
branch_diagnostics[1].diagnostics.top_candidates[4].events[[193, 1], [575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10377727320083344, -0.00012142298177557744, 0.04195423807550496, 0.020950639684357012, 0.020787359060708444, -0.010601806224841762, 0.010305097473870142, 0.005670825649788949]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000520627
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000520627
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13278.5
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.04998
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap5.43463
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.29375e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse7.63602e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.29522e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse7.63602e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index0
branch_diagnostics[1].diagnostics.top_candidates[5].events[[193, 1], [569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10408713780188916, -0.00017119500298730365, 0.04201900919352247, 0.02103459216321244, 0.020843096672128664, -0.010635792206503878, 0.010339786163086718, 0.0056851944650429635]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000534991
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000534991
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13277.6
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.05406
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap6.36025
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.50033e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse5.17544e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.48363e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse5.17544e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index0
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10434771165313947, -0.00016220064798158434, 0.04214792658704282, 0.02111858394751028, 0.020884770913272392, -0.010670833689340459, 0.010366367528121794, 0.005686589774095733]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000547262
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000547262
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13277.3
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.04964
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap6.57319
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.96212e-07
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.87887e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.95695e-07
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.87887e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index2
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 1], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10414662711305424, -4.9356415750938965e-05, 0.04207811166808349, 0.021011362063830634, 0.020849289239653172, -0.010628431267848671, 0.010287013499289765, 0.005753132450241112]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000546991
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000546991
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13277.2
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.62958
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap6.73663
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.29605e-07
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse5.34408e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.29382e-07
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.17547e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index0
branch_diagnostics[1].diagnostics.top_candidates[8].events[[193, 1], [576, 1]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10410261230590998, -0.0001954885080957371, 0.04196105064402081, 0.02107506577463532, 0.0207705614869031, -0.010705723345448313, 0.010313108155640741, 0.005672169254107778]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000538321
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000538321
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13277.1
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.0574
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap6.81172
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.01166e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse7.23465e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.00984e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse7.23465e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index2
branch_diagnostics[1].diagnostics.top_candidates[9].events[[193, 1], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10415752357419307, -5.4022943070313315e-05, 0.04210606080374613, 0.021011951752264165, 0.020865927391607246, -0.01062578498415657, 0.010298460948005751, 0.005741662232460616]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000546781
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000546781
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13277.1
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.6247
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap6.82203
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.39316e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse5.07385e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.39088e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse5.02934e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12593949773486698, -0.00028639358420719225, 0.05089229674513253, 0.0255053824092033, 0.025259499649490206, -0.012787794007607387, 0.01246719870088135, 0.006836106477478266]
selected_unquantized.sigma2_raw0.000394663
selected_unquantized.sigma20.000394663
selected_unquantized.objective-13946.8
selected_unquantized.condition_number1.05521
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direct_objective-13946.8
direct_rss1.61654
rss_difference6.79456e-14
sigma2_floor1.04579e-12
noise_near_floor_indeterminateFalse
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top_candidates[0].objective-13946.8
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top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.6643e-09
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core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
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mean_gain_prepass.selected_gain.alpha_index2
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mean_gain_prepass.selection_objective-13247.1
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mean_gain_prepass.direct_rss2.33843
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mean_gain_prepass.direct_objective-13247.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
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mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13946.8
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index2
branch_diagnostics[3].diagnostics.top_candidates[0].events[[193, 1], [578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.10415564792603367, -5.0922888123969086e-05, 0.04209678159800594, 0.0210034678576664, 0.02086480633321939, -0.01064179239686991, 0.010289227398780751, 0.005755930722599349]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000547745
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000547745
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13276.7
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number1.6339
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index2
branch_diagnostics[3].diagnostics.top_candidates[1].events[[193, 1], [575, 0]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.10414376108789532, -4.621344201689649e-05, 0.042068211813289666, 0.021004277623233116, 0.02084791471159177, -0.010642887561197984, 0.010277428616462931, 0.005767943017499927]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000547983
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000547983
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13275.8
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number1.63879
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap0.886785
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.10606e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.33201e-10
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.10673e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse4.56767e-10
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index2
branch_diagnostics[3].diagnostics.top_candidates[2].events[[193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.10443555037740722, -7.378203567962919e-05, 0.04214919931552808, 0.02111750020782077, 0.020883112524379452, -0.010671569007766557, 0.010306110466366706, 0.005784029264777311]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.000560909
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.000560909
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13274.3
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.63259
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap2.40528
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.97962e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.86156e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.96615e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse5.41473e-09
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index2
branch_diagnostics[3].diagnostics.top_candidates[3].events[[193, 1], [572, 0]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10415735992148058, -5.459499556154602e-05, 0.042043065898876665, 0.02101147192655712, 0.0208373115341574, -0.010638737484577672, 0.010276937924263698, 0.005782092516118085]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000548569
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000548569
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13273.6
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.64135
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap3.0761
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse3.25081e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse2.06026e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse3.25876e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.89611e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index2
branch_diagnostics[3].diagnostics.top_candidates[4].events[[193, 1], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10387087867104287, -3.492202731789967e-05, 0.04196761765849721, 0.020924853852741655, 0.02079781374357145, -0.010630951878741782, 0.010254054071797174, 0.005729863503954529]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000534234
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000534234
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13273
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.63903
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap3.65849
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.95995e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse4.11868e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.94778e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse4.58933e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index2
branch_diagnostics[3].diagnostics.top_candidates[5].events[[190, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10442252423569744, -8.02803948179227e-05, 0.04209477448429577, 0.021080274532801667, 0.020842608729859477, -0.010664534058878171, 0.01028691988293422, 0.005766846818765005]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000561454
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000561454
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13272.3
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.61228
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap4.39617
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse5.69186e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.59733e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.68238e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.76377e-08
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index2
branch_diagnostics[3].diagnostics.top_candidates[6].events[[193, 1], [569, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10418114019887653, -7.650795556233188e-05, 0.04202061914527225, 0.021033504135065148, 0.020841273410152995, -0.010636502159171293, 0.010279845300773664, 0.00578201281552457]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000549124
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000549124
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13271.5
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.63798
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap5.14855
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.67857e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse3.55578e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.69479e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse4.22015e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index2
branch_diagnostics[3].diagnostics.top_candidates[7].events[[192, 2]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10439938469887725, -9.462054559336304e-05, 0.04205007230320682, 0.021061868763361507, 0.020810177642861076, -0.010656017567239513, 0.010264614691785473, 0.005741361817666629]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.00056213
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.00056213
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13270.1
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.60256
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap6.572
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse5.09472e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.24189e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse5.08866e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.284e-07
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index2
branch_diagnostics[3].diagnostics.top_candidates[8].events[[193, 1], [566, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10420369015024741, -9.613981578531484e-05, 0.04202057197197986, 0.02106369807806127, 0.02083867324805694, -0.010644644269496913, 0.010287879069444375, 0.005789041085198276]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000549607
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000549607
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13269.7
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.6311
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap6.94691
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.11549e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse4.74077e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.11694e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.94432e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index2
branch_diagnostics[3].diagnostics.top_candidates[9].events[[193, 1], [576, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.104314889042961, -7.494975687303342e-05, 0.042040167196640964, 0.021094406876039775, 0.02080915968018386, -0.010692116190562938, 0.010266266911371419, 0.005770948767184245]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.00055685
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.00055685
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13268.9
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.64172
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap7.80269
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.15475e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse5.07819e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.14927e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse5.61525e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13958.4
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-13946.8
best_by_coupling_flag.0.objective_with_gain_penalty-13946.8
best_by_coupling_flag.0.objective_without_coupling_penalty-13946.8
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13946.8
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13924
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-13912.3
best_by_coupling_flag.1.objective_with_gain_penalty-13912.3
best_by_coupling_flag.1.objective_without_coupling_penalty-13912.3
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13911.7
best_by_coupling_flag.1.q_index8
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty34.4815
coupling_score_gap_eta1_minus_eta0_with_new_penalty35.1746
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C3 加算混合 / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149116
[0].acoustic.peak0.379547
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.812
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.203
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.147322
[1].acoustic.peak0.351535
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.547
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames50
[1].output_f0.positive_median_hz120.491
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156131
[0].acoustic.peak0.400522
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.152
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.985
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151053
[0].acoustic.peak0.393162
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz213.628
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00147433
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00103544
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0014886
[0].mechanism.mean_error.mse.all1.2839e-06
[0].mechanism.mean_error.mse.inside1.3155e-06
[0].mechanism.mean_error.mse.outside1.28287e-06
[0].mechanism.mean_error.mae.all0.000894833
[0].mechanism.mean_error.mae.inside0.000911727
[0].mechanism.mean_error.mae.outside0.000894283
[0].mechanism.mean_error.bias.all2.06964e-06
[0].mechanism.mean_error.bias.inside-1.01592e-05
[0].mechanism.mean_error.bias.outside2.4673e-06
[0].mechanism.variance_error.mse.all3.22371e-11
[0].mechanism.variance_error.mse.inside1.77955e-10
[0].mechanism.variance_error.mse.outside2.74986e-11
[0].mechanism.variance_error.mae.all5.04292e-06
[0].mechanism.variance_error.mae.inside1.17255e-05
[0].mechanism.variance_error.mae.outside4.82562e-06
[0].mechanism.variance_error.bias.all-5.04292e-06
[0].mechanism.variance_error.bias.inside-1.17255e-05
[0].mechanism.variance_error.bias.outside-4.82562e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.51119e-06
[0].mechanism.localized.integrated_variance_error-5.50812e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0120626
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.04059e-12
[0].mechanism.localized.error.mse.inside9.65446e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.15161e-07
[0].mechanism.localized.error.mae.inside6.83178e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.15161e-07
[0].mechanism.localized.error.bias.inside-6.83178e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.97
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151606
[1].acoustic.peak0.413409
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.793
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00147433
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00103544
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0014886
[1].mechanism.mean_error.mse.all1.2839e-06
[1].mechanism.mean_error.mse.inside1.3155e-06
[1].mechanism.mean_error.mse.outside1.28287e-06
[1].mechanism.mean_error.mae.all0.000894833
[1].mechanism.mean_error.mae.inside0.000911727
[1].mechanism.mean_error.mae.outside0.000894283
[1].mechanism.mean_error.bias.all2.06964e-06
[1].mechanism.mean_error.bias.inside-1.01592e-05
[1].mechanism.mean_error.bias.outside2.4673e-06
[1].mechanism.variance_error.mse.all3.22371e-11
[1].mechanism.variance_error.mse.inside1.77955e-10
[1].mechanism.variance_error.mse.outside2.74986e-11
[1].mechanism.variance_error.mae.all5.04292e-06
[1].mechanism.variance_error.mae.inside1.17255e-05
[1].mechanism.variance_error.mae.outside4.82562e-06
[1].mechanism.variance_error.bias.all-5.04292e-06
[1].mechanism.variance_error.bias.inside-1.17255e-05
[1].mechanism.variance_error.bias.outside-4.82562e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.51119e-06
[1].mechanism.localized.integrated_variance_error-5.50812e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0120626
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.04059e-12
[1].mechanism.localized.error.mse.inside9.65446e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.15161e-07
[1].mechanism.localized.error.mae.inside6.83178e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.15161e-07
[1].mechanism.localized.error.bias.inside-6.83178e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.924
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151053
[0].acoustic.peak0.393162
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz213.628
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00147433
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00103544
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0014886
[0].mechanism.mean_error.mse.all1.2839e-06
[0].mechanism.mean_error.mse.inside1.3155e-06
[0].mechanism.mean_error.mse.outside1.28287e-06
[0].mechanism.mean_error.mae.all0.000894833
[0].mechanism.mean_error.mae.inside0.000911727
[0].mechanism.mean_error.mae.outside0.000894283
[0].mechanism.mean_error.bias.all2.06964e-06
[0].mechanism.mean_error.bias.inside-1.01592e-05
[0].mechanism.mean_error.bias.outside2.4673e-06
[0].mechanism.variance_error.mse.all3.22371e-11
[0].mechanism.variance_error.mse.inside1.77955e-10
[0].mechanism.variance_error.mse.outside2.74986e-11
[0].mechanism.variance_error.mae.all5.04292e-06
[0].mechanism.variance_error.mae.inside1.17255e-05
[0].mechanism.variance_error.mae.outside4.82562e-06
[0].mechanism.variance_error.bias.all-5.04292e-06
[0].mechanism.variance_error.bias.inside-1.17255e-05
[0].mechanism.variance_error.bias.outside-4.82562e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.51119e-06
[0].mechanism.localized.integrated_variance_error-5.50812e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0120626
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.04059e-12
[0].mechanism.localized.error.mse.inside9.65446e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.15161e-07
[0].mechanism.localized.error.mae.inside6.83178e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.15161e-07
[0].mechanism.localized.error.bias.inside-6.83178e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.97
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151606
[1].acoustic.peak0.413409
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.793
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00147433
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00103544
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0014886
[1].mechanism.mean_error.mse.all1.2839e-06
[1].mechanism.mean_error.mse.inside1.3155e-06
[1].mechanism.mean_error.mse.outside1.28287e-06
[1].mechanism.mean_error.mae.all0.000894833
[1].mechanism.mean_error.mae.inside0.000911727
[1].mechanism.mean_error.mae.outside0.000894283
[1].mechanism.mean_error.bias.all2.06964e-06
[1].mechanism.mean_error.bias.inside-1.01592e-05
[1].mechanism.mean_error.bias.outside2.4673e-06
[1].mechanism.variance_error.mse.all3.22371e-11
[1].mechanism.variance_error.mse.inside1.77955e-10
[1].mechanism.variance_error.mse.outside2.74986e-11
[1].mechanism.variance_error.mae.all5.04292e-06
[1].mechanism.variance_error.mae.inside1.17255e-05
[1].mechanism.variance_error.mae.outside4.82562e-06
[1].mechanism.variance_error.bias.all-5.04292e-06
[1].mechanism.variance_error.bias.inside-1.17255e-05
[1].mechanism.variance_error.bias.outside-4.82562e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.51119e-06
[1].mechanism.localized.integrated_variance_error-5.50812e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0120626
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.04059e-12
[1].mechanism.localized.error.mse.inside9.65446e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.15161e-07
[1].mechanism.localized.error.mae.inside6.83178e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.15161e-07
[1].mechanism.localized.error.bias.inside-6.83178e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.924
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.142243
[0].acoustic.peak0.359583
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz229.918
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.855
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.139085
[1].acoustic.peak0.342434
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz229.279
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz140.469
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150357
[0].acoustic.peak0.364347
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz224.869
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.944
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151285
[0].acoustic.peak0.38451
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz237.39
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00146938
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00089308
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148812
[0].mechanism.mean_error.mse.all1.27912e-06
[0].mechanism.mean_error.mse.inside1.15733e-06
[0].mechanism.mean_error.mse.outside1.28308e-06
[0].mechanism.mean_error.mae.all0.000892666
[0].mechanism.mean_error.mae.inside0.000831827
[0].mechanism.mean_error.mae.outside0.000894645
[0].mechanism.mean_error.bias.all2.15157e-06
[0].mechanism.mean_error.bias.inside4.14696e-05
[0].mechanism.mean_error.bias.outside8.73016e-07
[0].mechanism.variance_error.mse.all3.20718e-11
[0].mechanism.variance_error.mse.inside1.71865e-10
[0].mechanism.variance_error.mse.outside2.7526e-11
[0].mechanism.variance_error.mae.all5.03708e-06
[0].mechanism.variance_error.mae.inside1.14296e-05
[0].mechanism.variance_error.mae.outside4.82921e-06
[0].mechanism.variance_error.bias.all-5.03708e-06
[0].mechanism.variance_error.bias.inside-1.14296e-05
[0].mechanism.variance_error.bias.outside-4.82921e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.51119e-06
[0].mechanism.localized.integrated_variance_error-5.50812e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0120626
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.04059e-12
[0].mechanism.localized.error.mse.inside9.65446e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.15161e-07
[0].mechanism.localized.error.mae.inside6.83178e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.15161e-07
[0].mechanism.localized.error.bias.inside-6.83178e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.021
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150964
[1].acoustic.peak0.395017
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz235.437
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00146938
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00089308
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148812
[1].mechanism.mean_error.mse.all1.27912e-06
[1].mechanism.mean_error.mse.inside1.15733e-06
[1].mechanism.mean_error.mse.outside1.28308e-06
[1].mechanism.mean_error.mae.all0.000892666
[1].mechanism.mean_error.mae.inside0.000831827
[1].mechanism.mean_error.mae.outside0.000894645
[1].mechanism.mean_error.bias.all2.15157e-06
[1].mechanism.mean_error.bias.inside4.14696e-05
[1].mechanism.mean_error.bias.outside8.73016e-07
[1].mechanism.variance_error.mse.all3.20718e-11
[1].mechanism.variance_error.mse.inside1.71865e-10
[1].mechanism.variance_error.mse.outside2.7526e-11
[1].mechanism.variance_error.mae.all5.03708e-06
[1].mechanism.variance_error.mae.inside1.14296e-05
[1].mechanism.variance_error.mae.outside4.82921e-06
[1].mechanism.variance_error.bias.all-5.03708e-06
[1].mechanism.variance_error.bias.inside-1.14296e-05
[1].mechanism.variance_error.bias.outside-4.82921e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.51119e-06
[1].mechanism.localized.integrated_variance_error-5.50812e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0120626
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.04059e-12
[1].mechanism.localized.error.mse.inside9.65446e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.15161e-07
[1].mechanism.localized.error.mae.inside6.83178e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.15161e-07
[1].mechanism.localized.error.bias.inside-6.83178e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.043
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151285
[0].acoustic.peak0.38451
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz237.39
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00146938
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.00089308
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148812
[0].mechanism.mean_error.mse.all1.27912e-06
[0].mechanism.mean_error.mse.inside1.15733e-06
[0].mechanism.mean_error.mse.outside1.28308e-06
[0].mechanism.mean_error.mae.all0.000892666
[0].mechanism.mean_error.mae.inside0.000831827
[0].mechanism.mean_error.mae.outside0.000894645
[0].mechanism.mean_error.bias.all2.15157e-06
[0].mechanism.mean_error.bias.inside4.14696e-05
[0].mechanism.mean_error.bias.outside8.73016e-07
[0].mechanism.variance_error.mse.all3.20718e-11
[0].mechanism.variance_error.mse.inside1.71865e-10
[0].mechanism.variance_error.mse.outside2.7526e-11
[0].mechanism.variance_error.mae.all5.03708e-06
[0].mechanism.variance_error.mae.inside1.14296e-05
[0].mechanism.variance_error.mae.outside4.82921e-06
[0].mechanism.variance_error.bias.all-5.03708e-06
[0].mechanism.variance_error.bias.inside-1.14296e-05
[0].mechanism.variance_error.bias.outside-4.82921e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.51119e-06
[0].mechanism.localized.integrated_variance_error-5.50812e-08
[0].mechanism.localized.integrated_variance_relative_error-0.0120626
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.04059e-12
[0].mechanism.localized.error.mse.inside9.65446e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.15161e-07
[0].mechanism.localized.error.mae.inside6.83178e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-2.15161e-07
[0].mechanism.localized.error.bias.inside-6.83178e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.021
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150964
[1].acoustic.peak0.395017
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz235.437
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00146938
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.00089308
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148812
[1].mechanism.mean_error.mse.all1.27912e-06
[1].mechanism.mean_error.mse.inside1.15733e-06
[1].mechanism.mean_error.mse.outside1.28308e-06
[1].mechanism.mean_error.mae.all0.000892666
[1].mechanism.mean_error.mae.inside0.000831827
[1].mechanism.mean_error.mae.outside0.000894645
[1].mechanism.mean_error.bias.all2.15157e-06
[1].mechanism.mean_error.bias.inside4.14696e-05
[1].mechanism.mean_error.bias.outside8.73016e-07
[1].mechanism.variance_error.mse.all3.20718e-11
[1].mechanism.variance_error.mse.inside1.71865e-10
[1].mechanism.variance_error.mse.outside2.7526e-11
[1].mechanism.variance_error.mae.all5.03708e-06
[1].mechanism.variance_error.mae.inside1.14296e-05
[1].mechanism.variance_error.mae.outside4.82921e-06
[1].mechanism.variance_error.bias.all-5.03708e-06
[1].mechanism.variance_error.bias.inside-1.14296e-05
[1].mechanism.variance_error.bias.outside-4.82921e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.51119e-06
[1].mechanism.localized.integrated_variance_error-5.50812e-08
[1].mechanism.localized.integrated_variance_relative_error-0.0120626
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.04059e-12
[1].mechanism.localized.error.mse.inside9.65446e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.15161e-07
[1].mechanism.localized.error.mae.inside6.83178e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-2.15161e-07
[1].mechanism.localized.error.bias.inside-6.83178e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.043
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.1250458526633463, -0.000305592668488274, 0.050517075600112246, 0.024794755271729828, 0.02624916418151012, -0.012632607727118142, 0.012952473111246676, 0.006833197744686272]
selected_unquantized.sigma2_raw0.000395175
selected_unquantized.sigma20.000395175
selected_unquantized.objective-14152.6
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14152.6
direct_rss1.61864
rss_difference1.13243e-14
sigma2_floor1.03667e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.1250458526633463, -0.000305592668488274, 0.050517075600112246, 0.024794755271729828, 0.02624916418151012, -0.012632607727118142, 0.012952473111246676, 0.006833197744686272]
top_candidates[0].sigma2_raw0.000395175
top_candidates[0].sigma20.000395175
top_candidates[0].objective-14152.6
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[195, 2]]
top_candidates[1].mean[0.1250880563690641, -0.0002596124323049544, 0.05053435679226889, 0.02476122098671664, 0.02623944680037516, -0.01260698171643842, 0.013006655000550628, 0.006833499752006284]
top_candidates[1].sigma2_raw0.000396494
top_candidates[1].sigma20.000396494
top_candidates[1].objective-14147.5
top_candidates[1].condition_number3.14035
top_candidates[1].objective_gap5.16285
top_candidates[1].edit_difference_from_selected.120.0.mean_mse4.52968e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.29998e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.51197e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.29942e-08
top_candidates[2].q_index10
top_candidates[2].events[[195, 1]]
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top_candidates[3].q_index10
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top_candidates[4].q_index10
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top_candidates[9].q_index10
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.85613e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.279e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13261.7
mean_gain_prepass.rss2.32178
mean_gain_prepass.sigma20.000566841
mean_gain_prepass.direct_rss2.32178
mean_gain_prepass.rss_difference2.30926e-14
mean_gain_prepass.direct_objective-13261.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03667e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14152.6
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000531132
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13466.4
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.11474
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.4443
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse5.56592e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse4.21318e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse5.56235e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse4.23177e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.1036128400561357, -0.0002080716535943269, 0.04174800067305679, 0.020582588942711255, 0.02166081342599669, -0.010501560885021443, 0.010775058792926577, 0.005661059775153215]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.00055286
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.00055286
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13465
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.07299
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap11.917
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.89663e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.53944e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.88666e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.53854e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[195, 1], [569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10338629584239302, -0.0001934589743562008, 0.04167402963695311, 0.020546512248877904, 0.021590303997425238, -0.01043914145406209, 0.010796987473079143, 0.005640053864873689]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000546263
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000546263
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13464.8
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.09692
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap12.0429
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse5.80563e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse3.68749e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse5.79586e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse3.66979e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[195, 2]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10362740112062475, -0.0001724754304632406, 0.041750599714585085, 0.020553694631086857, 0.021642068492269868, -0.010493425227955431, 0.010808633917934893, 0.005660272187993435]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000554011
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000554011
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13462.4
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.10788
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap14.5142
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.03521e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.8814e-07
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.0253e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.88063e-07
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[196, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10364330395444736, -0.0001832277393125395, 0.04174429591692321, 0.020569416690133947, 0.021636656425191664, -0.010477522544392201, 0.01082033049744194, 0.005661996610857422]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.00055613
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.00055613
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13460.9
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.1646
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap15.9639
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse7.65057e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.87163e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.63775e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.87017e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.1250458526633463, -0.000305592668488274, 0.050517075600112246, 0.024794755271729828, 0.02624916418151012, -0.012632607727118142, 0.012952473111246676, 0.006833197744686272]
selected_unquantized.sigma2_raw0.000395175
selected_unquantized.sigma20.000395175
selected_unquantized.objective-14152.6
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14152.6
direct_rss1.61864
rss_difference1.13243e-14
sigma2_floor1.03667e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1590
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.1250458526633463, -0.000305592668488274, 0.050517075600112246, 0.024794755271729828, 0.02624916418151012, -0.012632607727118142, 0.012952473111246676, 0.006833197744686272]
top_candidates[0].sigma2_raw0.000395175
top_candidates[0].sigma20.000395175
top_candidates[0].objective-14152.6
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[195, 2]]
top_candidates[1].mean[0.1250880563690641, -0.0002596124323049544, 0.05053435679226889, 0.02476122098671664, 0.02623944680037516, -0.01260698171643842, 0.013006655000550628, 0.006833499752006284]
top_candidates[1].sigma2_raw0.000396494
top_candidates[1].sigma20.000396494
top_candidates[1].objective-14147.5
top_candidates[1].condition_number3.14035
top_candidates[1].objective_gap5.16285
top_candidates[1].edit_difference_from_selected.120.0.mean_mse4.52968e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse8.29998e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.51197e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse8.29942e-08
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[195, 1]]
top_candidates[2].mean[0.12509687438135167, -0.00028180563801779484, 0.05053096740173081, 0.02474582759947695, 0.026231695614531293, -0.012609736399786662, 0.013004866416381643, 0.0068363183722112645]
top_candidates[2].sigma2_raw0.000401183
top_candidates[2].sigma20.000401183
top_candidates[2].objective-14146.4
top_candidates[2].condition_number3.1427
top_candidates[2].objective_gap6.28731
top_candidates[2].edit_difference_from_selected.120.0.mean_mse4.68918e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse5.13166e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse4.67775e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse5.13285e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[196, 1]]
top_candidates[3].mean[0.1250790279572207, -0.00026468753347990933, 0.05050021082001364, 0.024762007066954483, 0.026210872570938987, -0.012604113476431825, 0.013009678539424642, 0.006830330140623483]
top_candidates[3].sigma2_raw0.0003986
top_candidates[3].sigma20.0003986
top_candidates[3].objective-14143
top_candidates[3].condition_number3.19332
top_candidates[3].objective_gap9.64294
top_candidates[3].edit_difference_from_selected.120.0.mean_mse4.87354e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse8.06667e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse4.8644e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse8.06613e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[93, 0], [193, 1]]
top_candidates[4].mean[0.12500528862284532, -0.00032729645664322565, 0.050515225917056795, 0.024856338152925456, 0.0263206414150383, -0.012648990593448416, 0.012931233569091618, 0.00674569640592675]
top_candidates[4].sigma2_raw0.000392109
top_candidates[4].sigma20.000392109
top_candidates[4].objective-14142.8
top_candidates[4].condition_number3.05986
top_candidates[4].objective_gap9.82991
top_candidates[4].edit_difference_from_selected.120.0.mean_mse9.67489e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.33623e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse9.70995e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.22449e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[193, 1], [510, 0]]
top_candidates[5].mean[0.12504933764836593, -0.00030622214742178895, 0.050513907889153616, 0.024796725448295906, 0.02625348057173968, -0.012636905680929147, 0.012952582529132546, 0.0068432586446993725]
top_candidates[5].sigma2_raw0.00039305
top_candidates[5].sigma20.00039305
top_candidates[5].objective-14142.6
top_candidates[5].condition_number3.10538
top_candidates[5].objective_gap10.0821
top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.29912e-11
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.27722e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.27123e-11
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.29586e-10
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[157, 0], [193, 1]]
top_candidates[6].mean[0.12504798779823656, -0.0003086125441556155, 0.05052955363882709, 0.024808503629962324, 0.026224557670163778, -0.012626343256992092, 0.012961456140194982, 0.006818055616380185]
top_candidates[6].sigma2_raw0.000391131
top_candidates[6].sigma20.000391131
top_candidates[6].objective-14142.6
top_candidates[6].condition_number3.0926
top_candidates[6].objective_gap10.0837
top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.62343e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.23474e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.59397e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.22333e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[193, 1], [556, 0]]
top_candidates[7].mean[0.1250138924496297, -0.0003041608719993992, 0.05052845909022193, 0.024785447482299203, 0.026252631308880045, -0.012634826922555938, 0.012964275170955563, 0.00684295104861353]
top_candidates[7].sigma2_raw0.000391416
top_candidates[7].sigma20.000391416
top_candidates[7].objective-14142.6
top_candidates[7].condition_number3.10424
top_candidates[7].objective_gap10.0912
top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.49638e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.23265e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.46733e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.24802e-09
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[165, 0], [193, 1]]
top_candidates[8].mean[0.12504070881570936, -0.0003048618714791983, 0.050522977496032094, 0.024793902488542737, 0.02624200954486783, -0.012631608066880426, 0.012973840109734685, 0.006830207628959018]
top_candidates[8].sigma2_raw0.000392003
top_candidates[8].sigma20.000392003
top_candidates[8].objective-14142.5
top_candidates[8].condition_number3.05335
top_candidates[8].objective_gap10.1422
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.91231e-10
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.34598e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.90517e-10
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.2585e-10
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[156, 0], [193, 1]]
top_candidates[9].mean[0.12505515795922797, -0.00030057924828448475, 0.05051688477734406, 0.024812971465430544, 0.02623153708525189, -0.01262534317643615, 0.012942619997124078, 0.006825204848469773]
top_candidates[9].sigma2_raw0.000393668
top_candidates[9].sigma20.000393668
top_candidates[9].objective-14142.3
top_candidates[9].condition_number3.12796
top_candidates[9].objective_gap10.3569
top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.87637e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.26068e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.85613e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.279e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13261.7
mean_gain_prepass.rss2.32178
mean_gain_prepass.sigma20.000566841
mean_gain_prepass.direct_rss2.32178
mean_gain_prepass.rss_difference2.30926e-14
mean_gain_prepass.direct_objective-13261.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03667e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14152.6
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-14164.3
branch_diagnostics[0].event_penalty_nats11.6188
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14152.6
branch_diagnostics[0].objective_with_gain_penalty-14152.6
branch_diagnostics[0].objective_without_coupling_penalty-14152.6
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-14152.6
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
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branch_diagnostics[3].diagnostics.top_candidates[1].events[[195, 1], [578, 0]]
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branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.39294e-09
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branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.75619e-07
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse9.69405e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.06779e-07
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branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.54051e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.94298e-08
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[8].events[[195, 1], [569, 0]]
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branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse9.93777e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse7.99933e-08
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branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse8.56782e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.67228e-07
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.05091e-07
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14164.3
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14152.6
best_by_coupling_flag.0.objective_with_gain_penalty-14152.6
best_by_coupling_flag.0.objective_without_coupling_penalty-14152.6
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14152.6
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14162.4
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14150.8
best_by_coupling_flag.1.objective_with_gain_penalty-14150.8
best_by_coupling_flag.1.objective_without_coupling_penalty-14150.8
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14150.1
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty1.81544
coupling_score_gap_eta1_minus_eta0_with_new_penalty2.50859
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C3 加算混合 / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151412
[0].acoustic.peak0.409391
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz208.837
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.855
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.149117
[1].acoustic.peak0.372806
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.89
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.946
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156269
[0].acoustic.peak0.391346
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.857
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.864
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150321
[0].acoustic.peak0.380248
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.841
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000761325
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000610607
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000766227
[0].mechanism.mean_error.mse.all6.48725e-07
[0].mechanism.mean_error.mse.inside6.39716e-07
[0].mechanism.mean_error.mse.outside6.49018e-07
[0].mechanism.mean_error.mae.all0.000631639
[0].mechanism.mean_error.mae.inside0.000619762
[0].mechanism.mean_error.mae.outside0.000632025
[0].mechanism.mean_error.bias.all1.11091e-06
[0].mechanism.mean_error.bias.inside-2.91358e-05
[0].mechanism.mean_error.bias.outside2.09448e-06
[0].mechanism.variance_error.mse.all5.62744e-11
[0].mechanism.variance_error.mse.inside3.10646e-10
[0].mechanism.variance_error.mse.outside4.80027e-11
[0].mechanism.variance_error.mae.all6.66285e-06
[0].mechanism.variance_error.mae.inside1.5492e-05
[0].mechanism.variance_error.mae.outside6.37574e-06
[0].mechanism.variance_error.bias.all6.66285e-06
[0].mechanism.variance_error.bias.inside1.5492e-05
[0].mechanism.variance_error.bias.outside6.37574e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.63905e-06
[0].mechanism.localized.integrated_variance_error7.27747e-08
[0].mechanism.localized.integrated_variance_relative_error0.0159375
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.30777e-12
[0].mechanism.localized.error.mse.inside1.68532e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.84276e-07
[0].mechanism.localized.error.mae.inside9.02632e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.84276e-07
[0].mechanism.localized.error.bias.inside9.02632e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.993
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.15161
[1].acoustic.peak0.397708
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.898
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000761325
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000610607
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000766227
[1].mechanism.mean_error.mse.all6.48725e-07
[1].mechanism.mean_error.mse.inside6.39716e-07
[1].mechanism.mean_error.mse.outside6.49018e-07
[1].mechanism.mean_error.mae.all0.000631639
[1].mechanism.mean_error.mae.inside0.000619762
[1].mechanism.mean_error.mae.outside0.000632025
[1].mechanism.mean_error.bias.all1.11091e-06
[1].mechanism.mean_error.bias.inside-2.91358e-05
[1].mechanism.mean_error.bias.outside2.09448e-06
[1].mechanism.variance_error.mse.all5.62744e-11
[1].mechanism.variance_error.mse.inside3.10646e-10
[1].mechanism.variance_error.mse.outside4.80027e-11
[1].mechanism.variance_error.mae.all6.66285e-06
[1].mechanism.variance_error.mae.inside1.5492e-05
[1].mechanism.variance_error.mae.outside6.37574e-06
[1].mechanism.variance_error.bias.all6.66285e-06
[1].mechanism.variance_error.bias.inside1.5492e-05
[1].mechanism.variance_error.bias.outside6.37574e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.63905e-06
[1].mechanism.localized.integrated_variance_error7.27747e-08
[1].mechanism.localized.integrated_variance_relative_error0.0159375
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.30777e-12
[1].mechanism.localized.error.mse.inside1.68532e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.84276e-07
[1].mechanism.localized.error.mae.inside9.02632e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.84276e-07
[1].mechanism.localized.error.bias.inside9.02632e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.001
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150321
[0].acoustic.peak0.380248
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.841
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000761325
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000610607
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000766227
[0].mechanism.mean_error.mse.all6.48725e-07
[0].mechanism.mean_error.mse.inside6.39716e-07
[0].mechanism.mean_error.mse.outside6.49018e-07
[0].mechanism.mean_error.mae.all0.000631639
[0].mechanism.mean_error.mae.inside0.000619762
[0].mechanism.mean_error.mae.outside0.000632025
[0].mechanism.mean_error.bias.all1.11091e-06
[0].mechanism.mean_error.bias.inside-2.91358e-05
[0].mechanism.mean_error.bias.outside2.09448e-06
[0].mechanism.variance_error.mse.all5.62744e-11
[0].mechanism.variance_error.mse.inside3.10646e-10
[0].mechanism.variance_error.mse.outside4.80027e-11
[0].mechanism.variance_error.mae.all6.66285e-06
[0].mechanism.variance_error.mae.inside1.5492e-05
[0].mechanism.variance_error.mae.outside6.37574e-06
[0].mechanism.variance_error.bias.all6.66285e-06
[0].mechanism.variance_error.bias.inside1.5492e-05
[0].mechanism.variance_error.bias.outside6.37574e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.63905e-06
[0].mechanism.localized.integrated_variance_error7.27747e-08
[0].mechanism.localized.integrated_variance_relative_error0.0159375
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.30777e-12
[0].mechanism.localized.error.mse.inside1.68532e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.84276e-07
[0].mechanism.localized.error.mae.inside9.02632e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.84276e-07
[0].mechanism.localized.error.bias.inside9.02632e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.993
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.15161
[1].acoustic.peak0.397708
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz216.898
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000761325
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000610607
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000766227
[1].mechanism.mean_error.mse.all6.48725e-07
[1].mechanism.mean_error.mse.inside6.39716e-07
[1].mechanism.mean_error.mse.outside6.49018e-07
[1].mechanism.mean_error.mae.all0.000631639
[1].mechanism.mean_error.mae.inside0.000619762
[1].mechanism.mean_error.mae.outside0.000632025
[1].mechanism.mean_error.bias.all1.11091e-06
[1].mechanism.mean_error.bias.inside-2.91358e-05
[1].mechanism.mean_error.bias.outside2.09448e-06
[1].mechanism.variance_error.mse.all5.62744e-11
[1].mechanism.variance_error.mse.inside3.10646e-10
[1].mechanism.variance_error.mse.outside4.80027e-11
[1].mechanism.variance_error.mae.all6.66285e-06
[1].mechanism.variance_error.mae.inside1.5492e-05
[1].mechanism.variance_error.mae.outside6.37574e-06
[1].mechanism.variance_error.bias.all6.66285e-06
[1].mechanism.variance_error.bias.inside1.5492e-05
[1].mechanism.variance_error.bias.outside6.37574e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.63905e-06
[1].mechanism.localized.integrated_variance_error7.27747e-08
[1].mechanism.localized.integrated_variance_relative_error0.0159375
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.30777e-12
[1].mechanism.localized.error.mse.inside1.68532e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.84276e-07
[1].mechanism.localized.error.mae.inside9.02632e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.84276e-07
[1].mechanism.localized.error.bias.inside9.02632e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.001
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.142872
[0].acoustic.peak0.343804
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz231.537
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.393
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.139601
[1].acoustic.peak0.333323
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz229.287
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames48
[1].output_f0.positive_median_hz139.895
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150417
[0].acoustic.peak0.350656
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz227.078
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.795
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15129
[0].acoustic.peak0.405407
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz241.169
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000756321
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000653797
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000759655
[0].mechanism.mean_error.mse.all6.45904e-07
[0].mechanism.mean_error.mse.inside6.43951e-07
[0].mechanism.mean_error.mse.outside6.45967e-07
[0].mechanism.mean_error.mae.all0.000629509
[0].mechanism.mean_error.mae.inside0.000647537
[0].mechanism.mean_error.mae.outside0.000628923
[0].mechanism.mean_error.bias.all1.06408e-06
[0].mechanism.mean_error.bias.inside9.15242e-05
[0].mechanism.mean_error.bias.outside-1.87753e-06
[0].mechanism.variance_error.mse.all5.59858e-11
[0].mechanism.variance_error.mse.inside3.00014e-10
[0].mechanism.variance_error.mse.outside4.80504e-11
[0].mechanism.variance_error.mae.all6.65512e-06
[0].mechanism.variance_error.mae.inside1.51011e-05
[0].mechanism.variance_error.mae.outside6.38048e-06
[0].mechanism.variance_error.bias.all6.65512e-06
[0].mechanism.variance_error.bias.inside1.51011e-05
[0].mechanism.variance_error.bias.outside6.38048e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.63905e-06
[0].mechanism.localized.integrated_variance_error7.27747e-08
[0].mechanism.localized.integrated_variance_relative_error0.0159375
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.30777e-12
[0].mechanism.localized.error.mse.inside1.68532e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.84276e-07
[0].mechanism.localized.error.mae.inside9.02632e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.84276e-07
[0].mechanism.localized.error.bias.inside9.02632e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.979
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150957
[1].acoustic.peak0.410922
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz240.933
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000756321
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000653797
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000759655
[1].mechanism.mean_error.mse.all6.45904e-07
[1].mechanism.mean_error.mse.inside6.43951e-07
[1].mechanism.mean_error.mse.outside6.45967e-07
[1].mechanism.mean_error.mae.all0.000629509
[1].mechanism.mean_error.mae.inside0.000647537
[1].mechanism.mean_error.mae.outside0.000628923
[1].mechanism.mean_error.bias.all1.06408e-06
[1].mechanism.mean_error.bias.inside9.15242e-05
[1].mechanism.mean_error.bias.outside-1.87753e-06
[1].mechanism.variance_error.mse.all5.59858e-11
[1].mechanism.variance_error.mse.inside3.00014e-10
[1].mechanism.variance_error.mse.outside4.80504e-11
[1].mechanism.variance_error.mae.all6.65512e-06
[1].mechanism.variance_error.mae.inside1.51011e-05
[1].mechanism.variance_error.mae.outside6.38048e-06
[1].mechanism.variance_error.bias.all6.65512e-06
[1].mechanism.variance_error.bias.inside1.51011e-05
[1].mechanism.variance_error.bias.outside6.38048e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.63905e-06
[1].mechanism.localized.integrated_variance_error7.27747e-08
[1].mechanism.localized.integrated_variance_relative_error0.0159375
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.30777e-12
[1].mechanism.localized.error.mse.inside1.68532e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.84276e-07
[1].mechanism.localized.error.mae.inside9.02632e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.84276e-07
[1].mechanism.localized.error.bias.inside9.02632e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.025
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15129
[0].acoustic.peak0.405407
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz241.169
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000756321
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000653797
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000759655
[0].mechanism.mean_error.mse.all6.45904e-07
[0].mechanism.mean_error.mse.inside6.43951e-07
[0].mechanism.mean_error.mse.outside6.45967e-07
[0].mechanism.mean_error.mae.all0.000629509
[0].mechanism.mean_error.mae.inside0.000647537
[0].mechanism.mean_error.mae.outside0.000628923
[0].mechanism.mean_error.bias.all1.06408e-06
[0].mechanism.mean_error.bias.inside9.15242e-05
[0].mechanism.mean_error.bias.outside-1.87753e-06
[0].mechanism.variance_error.mse.all5.59858e-11
[0].mechanism.variance_error.mse.inside3.00014e-10
[0].mechanism.variance_error.mse.outside4.80504e-11
[0].mechanism.variance_error.mae.all6.65512e-06
[0].mechanism.variance_error.mae.inside1.51011e-05
[0].mechanism.variance_error.mae.outside6.38048e-06
[0].mechanism.variance_error.bias.all6.65512e-06
[0].mechanism.variance_error.bias.inside1.51011e-05
[0].mechanism.variance_error.bias.outside6.38048e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.63905e-06
[0].mechanism.localized.integrated_variance_error7.27747e-08
[0].mechanism.localized.integrated_variance_relative_error0.0159375
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all5.30777e-12
[0].mechanism.localized.error.mse.inside1.68532e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.84276e-07
[0].mechanism.localized.error.mae.inside9.02632e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.84276e-07
[0].mechanism.localized.error.bias.inside9.02632e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.979
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150957
[1].acoustic.peak0.410922
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz240.933
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000756321
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000653797
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000759655
[1].mechanism.mean_error.mse.all6.45904e-07
[1].mechanism.mean_error.mse.inside6.43951e-07
[1].mechanism.mean_error.mse.outside6.45967e-07
[1].mechanism.mean_error.mae.all0.000629509
[1].mechanism.mean_error.mae.inside0.000647537
[1].mechanism.mean_error.mae.outside0.000628923
[1].mechanism.mean_error.bias.all1.06408e-06
[1].mechanism.mean_error.bias.inside9.15242e-05
[1].mechanism.mean_error.bias.outside-1.87753e-06
[1].mechanism.variance_error.mse.all5.59858e-11
[1].mechanism.variance_error.mse.inside3.00014e-10
[1].mechanism.variance_error.mse.outside4.80504e-11
[1].mechanism.variance_error.mae.all6.65512e-06
[1].mechanism.variance_error.mae.inside1.51011e-05
[1].mechanism.variance_error.mae.outside6.38048e-06
[1].mechanism.variance_error.bias.all6.65512e-06
[1].mechanism.variance_error.bias.inside1.51011e-05
[1].mechanism.variance_error.bias.outside6.38048e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.63905e-06
[1].mechanism.localized.integrated_variance_error7.27747e-08
[1].mechanism.localized.integrated_variance_relative_error0.0159375
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all5.30777e-12
[1].mechanism.localized.error.mse.inside1.68532e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.84276e-07
[1].mechanism.localized.error.mae.inside9.02632e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.84276e-07
[1].mechanism.localized.error.bias.inside9.02632e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.025
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12504000970479076, -0.00010077809527536052, 0.050404372325631844, 0.024634389528012248, 0.025516572044669346, -0.012765424223727331, 0.012900368976925402, 0.006399863571463226]
selected_unquantized.sigma2_raw0.000406375
selected_unquantized.sigma20.000406375
selected_unquantized.objective-14095.4
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14095.4
direct_rss1.66451
rss_difference-7.81597e-14
sigma2_floor1.0353e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12504000970479076, -0.00010077809527536052, 0.050404372325631844, 0.024634389528012248, 0.025516572044669346, -0.012765424223727331, 0.012900368976925402, 0.006399863571463226]
top_candidates[0].sigma2_raw0.000406375
top_candidates[0].sigma20.000406375
top_candidates[0].objective-14095.4
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[195, 1]]
top_candidates[1].mean[0.12508293782594399, -0.00010710691907850593, 0.05041240687988857, 0.02467347527086232, 0.025582555898046155, -0.012729968121256454, 0.012853320324354309, 0.0063299954395721215]
top_candidates[1].sigma2_raw0.000412404
top_candidates[1].sigma20.000412404
top_candidates[1].objective-14089.9
top_candidates[1].condition_number3.1427
top_candidates[1].objective_gap5.54215
top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.10555e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse5.42875e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.10445e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.42998e-09
top_candidates[2].q_index10
top_candidates[2].events[[154, 0], [193, 1]]
top_candidates[2].mean[0.1250098013519016, -8.862863008311317e-05, 0.05037944835833239, 0.024606360337932304, 0.025520114054935705, -0.012796163457132387, 0.012917872271825786, 0.00638488987114315]
top_candidates[2].sigma2_raw0.000402388
top_candidates[2].sigma20.000402388
top_candidates[2].objective-14088.5
top_candidates[2].condition_number3.1253
top_candidates[2].objective_gap6.93864
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.99443e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.29657e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.98575e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.30228e-09
top_candidates[3].q_index10
top_candidates[3].events[[156, 0], [193, 1]]
top_candidates[3].mean[0.12503416159563804, -8.643850943289619e-05, 0.05038968587553505, 0.02463219177451329, 0.025518759147707154, -0.012774491984996706, 0.01290403617324436, 0.006401613770172601]
top_candidates[3].sigma2_raw0.000404433
top_candidates[3].sigma20.000404433
top_candidates[3].objective-14087
top_candidates[3].condition_number3.12796
top_candidates[3].objective_gap8.36901
top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.8362e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.60105e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.82566e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.62526e-10
top_candidates[4].q_index10
top_candidates[4].events[[103, 0], [193, 1]]
top_candidates[4].mean[0.12503985236440285, -0.00010144011767406598, 0.05041137076591303, 0.02462437565283043, 0.025545839682856775, -0.012773473832439328, 0.012916204757394505, 0.006423899766502183]
top_candidates[4].sigma2_raw0.000402855
top_candidates[4].sigma20.000402855
top_candidates[4].objective-14087
top_candidates[4].condition_number3.13402
top_candidates[4].objective_gap8.39719
top_candidates[4].edit_difference_from_selected.120.0.mean_mse9.55472e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.29837e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse9.51589e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.3211e-09
top_candidates[5].q_index10
top_candidates[5].events[[92, 0], [193, 1]]
top_candidates[5].mean[0.12499757419963191, -0.00013346354543578918, 0.05040373426136272, 0.024707597505028236, 0.02563924492931272, -0.012760372270846648, 0.012928284026262346, 0.006354088151203061]
top_candidates[5].sigma2_raw0.000398111
top_candidates[5].sigma20.000398111
top_candidates[5].objective-14086.7
top_candidates[5].condition_number3.07454
top_candidates[5].objective_gap8.75167
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.30197e-08
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.52665e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.30563e-08
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.52288e-09
top_candidates[6].q_index10
top_candidates[6].events[[105, 0], [193, 1]]
top_candidates[6].mean[0.1250363627884663, -0.00010223966402957005, 0.05040758267491591, 0.0246260570735813, 0.02553000564687816, -0.012760393238412666, 0.012898801172177435, 0.00641455054208166]
top_candidates[6].sigma2_raw0.000404578
top_candidates[6].sigma20.000404578
top_candidates[6].objective-14086.6
top_candidates[6].condition_number3.12769
top_candidates[6].objective_gap8.81424
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.61556e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.60251e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.60509e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.68198e-10
top_candidates[7].q_index10
top_candidates[7].events[[151, 0], [193, 1]]
top_candidates[7].mean[0.12501165514325513, -9.009398949988675e-05, 0.0503796551995881, 0.024614220807403792, 0.025525386921354885, -0.012793681065869913, 0.01292525837431035, 0.006388894073102392]
top_candidates[7].sigma2_raw0.000403153
top_candidates[7].sigma20.000403153
top_candidates[7].objective-14086.4
top_candidates[7].condition_number3.14225
top_candidates[7].objective_gap8.97543
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.79031e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.29988e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.78301e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.31676e-09
top_candidates[8].q_index10
top_candidates[8].events[[95, 0], [193, 1]]
top_candidates[8].mean[0.1250089050211193, -0.00011237028515164433, 0.05042049221736824, 0.024684158841173226, 0.02561124399068908, -0.01277193225086053, 0.012939146449611194, 0.006398318418297522]
top_candidates[8].sigma2_raw0.000398568
top_candidates[8].sigma20.000398568
top_candidates[8].objective-14086.4
top_candidates[8].condition_number3.09624
top_candidates[8].objective_gap8.97712
top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.12978e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.51981e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.1438e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.53744e-09
top_candidates[9].q_index10
top_candidates[9].events[[157, 0], [193, 1]]
top_candidates[9].mean[0.12501589888983292, -8.387950336099625e-05, 0.05039287590550278, 0.024621612032904073, 0.025523445532437752, -0.01276988105540148, 0.012910391446495828, 0.006396483221281858]
top_candidates[9].sigma2_raw0.000402028
top_candidates[9].sigma20.000402028
top_candidates[9].objective-14086.3
top_candidates[9].condition_number3.0926
top_candidates[9].objective_gap9.12249
top_candidates[9].edit_difference_from_selected.120.0.mean_mse6.73566e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.30496e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.71436e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.29236e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13196.1
mean_gain_prepass.rss2.39735
mean_gain_prepass.sigma20.000585291
mean_gain_prepass.direct_rss2.39735
mean_gain_prepass.rss_difference-1.34115e-13
mean_gain_prepass.direct_objective-13196.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.0353e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14095.4
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14095.4
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14095.4
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 1]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12504000970479076, -0.00010077809527536052, 0.050404372325631844, 0.024634389528012248, 0.025516572044669346, -0.012765424223727331, 0.012900368976925402, 0.006399863571463226]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000406375
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000406375
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14095.4
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.109
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14095.4
branch_diagnostics[0].diagnostics.direct_rss1.66451
branch_diagnostics[0].diagnostics.rss_difference-7.81597e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.0353e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1590
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1590
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1590
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1590
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1590
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1590
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1590
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
branch_diagnostics[0].diagnostics.candidate_counts[11].two1590
branch_diagnostics[0].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
branch_diagnostics[0].diagnostics.candidate_counts[12].one1737
branch_diagnostics[0].diagnostics.candidate_counts[12].two1590
branch_diagnostics[0].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
branch_diagnostics[0].diagnostics.candidate_counts[13].one1737
branch_diagnostics[0].diagnostics.candidate_counts[13].two1590
branch_diagnostics[0].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[0].diagnostics.candidate_counts[14].zero1
branch_diagnostics[0].diagnostics.candidate_counts[14].one1737
branch_diagnostics[0].diagnostics.candidate_counts[14].two1590
branch_diagnostics[0].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[0].diagnostics.candidate_counts[15].zero1
branch_diagnostics[0].diagnostics.candidate_counts[15].one1737
branch_diagnostics[0].diagnostics.candidate_counts[15].two1590
branch_diagnostics[0].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[0].diagnostics.candidate_counts[16].zero1
branch_diagnostics[0].diagnostics.candidate_counts[16].one1737
branch_diagnostics[0].diagnostics.candidate_counts[16].two1590
branch_diagnostics[0].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[0].diagnostics.candidate_counts[17].zero1
branch_diagnostics[0].diagnostics.candidate_counts[17].one1737
branch_diagnostics[0].diagnostics.candidate_counts[17].two1518
branch_diagnostics[0].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[0].diagnostics.candidate_counts[18].zero1
branch_diagnostics[0].diagnostics.candidate_counts[18].one1737
branch_diagnostics[0].diagnostics.candidate_counts[18].two1590
branch_diagnostics[0].diagnostics.candidate_counts[19].q_index19
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branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[[195, 1], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10339914250097408, -4.879880489493791e-05, 0.04153445555496683, 0.020210224428171164, 0.02116706091879387, -0.01057442441636265, 0.010637197440907704, 0.00524388107440337]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000542398
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000542398
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13477.8
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.09749
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[[195, 1], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10340539039748027, -3.7107461077749246e-05, 0.04152116778538667, 0.02020530594909528, 0.021157520221764526, -0.010589904940598055, 0.010635424025397168, 0.005244743473739867]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.00054345
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.00054345
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13475.8
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.10604
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap2.02087
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse5.11914e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse5.2432e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse5.11249e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.19573e-10
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[195, 1], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10315453493643695, -2.27992944481628e-05, 0.04139288080412328, 0.020127075736053657, 0.021119492106482618, -0.01057118841933169, 0.010610287201123546, 0.005222190978608624]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000528885
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000528885
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13474.1
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.10895
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap3.74795
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.53989e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse3.96907e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.52965e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse3.96706e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[195, 1], [572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10342723103574847, -4.0023274925163757e-05, 0.04150607547108615, 0.02021014167424007, 0.021152650799364014, -0.010592256058576938, 0.010645761357752288, 0.005248709263457938]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000544676
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000544676
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13472.1
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.11132
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap5.78541
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.65075e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.89402e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.64874e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.87906e-09
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[195, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10368779258379876, -4.855576005938519e-05, 0.04159532938679353, 0.020297996793541547, 0.021171704355377113, -0.01060745223115128, 0.010660402992350963, 0.005294194836054975]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000557726
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000557726
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13471.6
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.11032
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap6.20138
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.12079e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse4.73383e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.10797e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse4.72492e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[195, 1], [577, 1]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10339820225068516, 2.630223462835912e-05, 0.041461615115795485, 0.020116148371067104, 0.02114433109983147, -0.010660403073876964, 0.010646008409770294, 0.005236250785890393]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000544562
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000544562
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13469.7
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.14701
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap8.19028
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.00712e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.59579e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.00362e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.58769e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10368217381013776, -3.986465465459627e-05, 0.04160963775577226, 0.020254983949795795, 0.02112644264266096, -0.010631309085255383, 0.010718473409999327, 0.005351897116115683]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000551774
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000551774
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13469
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.07299
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap8.84691
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse7.98192e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.53147e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse7.97073e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.53065e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[195, 1], [577, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10355991188341054, -1.6798933151873522e-05, 0.041524227340238015, 0.020209731874495363, 0.02116179015914816, -0.010646181498155093, 0.01065829132944157, 0.005265766820150331]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000551813
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000551813
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13467.9
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.12976
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap9.96144
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.37103e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse2.86028e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.36874e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.76704e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10368937222860182, -4.147934378618845e-06, 0.04161848554032725, 0.02029002791040145, 0.0211580603585369, -0.010611864022674222, 0.010703717030933802, 0.005330644800735417]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000560119
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000560119
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13467.9
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.0838
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap9.98847
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse8.14574e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.40761e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse8.13125e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.40921e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[195, 1], [575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10317163324997496, -1.3119155347944097e-05, 0.04139312620251878, 0.020137898921546, 0.021114704782716927, -0.010574762787287249, 0.010609226576605657, 0.005228577733146964]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000531032
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000531032
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13466.8
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.11474
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap11.0132
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse5.89446e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse4.21307e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.88548e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse4.23141e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12504000970479076, -0.00010077809527536052, 0.050404372325631844, 0.024634389528012248, 0.025516572044669346, -0.012765424223727331, 0.012900368976925402, 0.006399863571463226]
selected_unquantized.sigma2_raw0.000406375
selected_unquantized.sigma20.000406375
selected_unquantized.objective-14095.4
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14095.4
direct_rss1.66451
rss_difference-7.81597e-14
sigma2_floor1.0353e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12504000970479076, -0.00010077809527536052, 0.050404372325631844, 0.024634389528012248, 0.025516572044669346, -0.012765424223727331, 0.012900368976925402, 0.006399863571463226]
top_candidates[0].sigma2_raw0.000406375
top_candidates[0].sigma20.000406375
top_candidates[0].objective-14095.4
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[195, 1]]
top_candidates[1].mean[0.12508293782594399, -0.00010710691907850593, 0.05041240687988857, 0.02467347527086232, 0.025582555898046155, -0.012729968121256454, 0.012853320324354309, 0.0063299954395721215]
top_candidates[1].sigma2_raw0.000412404
top_candidates[1].sigma20.000412404
top_candidates[1].objective-14089.9
top_candidates[1].condition_number3.1427
top_candidates[1].objective_gap5.54215
top_candidates[1].edit_difference_from_selected.120.0.mean_mse8.10555e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse5.42875e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse8.10445e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.42998e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[154, 0], [193, 1]]
top_candidates[2].mean[0.1250098013519016, -8.862863008311317e-05, 0.05037944835833239, 0.024606360337932304, 0.025520114054935705, -0.012796163457132387, 0.012917872271825786, 0.00638488987114315]
top_candidates[2].sigma2_raw0.000402388
top_candidates[2].sigma20.000402388
top_candidates[2].objective-14088.5
top_candidates[2].condition_number3.1253
top_candidates[2].objective_gap6.93864
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.99443e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.29657e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.98575e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.30228e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[156, 0], [193, 1]]
top_candidates[3].mean[0.12503416159563804, -8.643850943289619e-05, 0.05038968587553505, 0.02463219177451329, 0.025518759147707154, -0.012774491984996706, 0.01290403617324436, 0.006401613770172601]
top_candidates[3].sigma2_raw0.000404433
top_candidates[3].sigma20.000404433
top_candidates[3].objective-14087
top_candidates[3].condition_number3.12796
top_candidates[3].objective_gap8.36901
top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.8362e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.60105e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.82566e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.62526e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[103, 0], [193, 1]]
top_candidates[4].mean[0.12503985236440285, -0.00010144011767406598, 0.05041137076591303, 0.02462437565283043, 0.025545839682856775, -0.012773473832439328, 0.012916204757394505, 0.006423899766502183]
top_candidates[4].sigma2_raw0.000402855
top_candidates[4].sigma20.000402855
top_candidates[4].objective-14087
top_candidates[4].condition_number3.13402
top_candidates[4].objective_gap8.39719
top_candidates[4].edit_difference_from_selected.120.0.mean_mse9.55472e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.29837e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse9.51589e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.3211e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[92, 0], [193, 1]]
top_candidates[5].mean[0.12499757419963191, -0.00013346354543578918, 0.05040373426136272, 0.024707597505028236, 0.02563924492931272, -0.012760372270846648, 0.012928284026262346, 0.006354088151203061]
top_candidates[5].sigma2_raw0.000398111
top_candidates[5].sigma20.000398111
top_candidates[5].objective-14086.7
top_candidates[5].condition_number3.07454
top_candidates[5].objective_gap8.75167
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.30197e-08
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.52665e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.30563e-08
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.52288e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[105, 0], [193, 1]]
top_candidates[6].mean[0.1250363627884663, -0.00010223966402957005, 0.05040758267491591, 0.0246260570735813, 0.02553000564687816, -0.012760393238412666, 0.012898801172177435, 0.00641455054208166]
top_candidates[6].sigma2_raw0.000404578
top_candidates[6].sigma20.000404578
top_candidates[6].objective-14086.6
top_candidates[6].condition_number3.12769
top_candidates[6].objective_gap8.81424
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.61556e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.60251e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.60509e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.68198e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[151, 0], [193, 1]]
top_candidates[7].mean[0.12501165514325513, -9.009398949988675e-05, 0.0503796551995881, 0.024614220807403792, 0.025525386921354885, -0.012793681065869913, 0.01292525837431035, 0.006388894073102392]
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top_candidates[7].sigma20.000403153
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top_candidates[7].objective_gap8.97543
top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.79031e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.29988e-09
top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.78301e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.31676e-09
top_candidates[8].coupling_flag0
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top_candidates[8].events[[95, 0], [193, 1]]
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top_candidates[8].objective_gap8.97712
top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.12978e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse2.51981e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.1438e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.53744e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[157, 0], [193, 1]]
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top_candidates[9].objective_gap9.12249
top_candidates[9].edit_difference_from_selected.120.0.mean_mse6.73566e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.30496e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.71436e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.29236e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13196.1
mean_gain_prepass.rss2.39735
mean_gain_prepass.sigma20.000585291
mean_gain_prepass.direct_rss2.39735
mean_gain_prepass.rss_difference-1.34115e-13
mean_gain_prepass.direct_objective-13196.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.0353e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14095.4
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10368201874075104, -3.914959039304695e-05, 0.041603534558017186, 0.020249136683491854, 0.021137352383961968, -0.010636740886589443, 0.01070678210414106, 0.005334013394969911]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000553528
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000553528
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13469.7
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.0953
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap13.7807
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse3.09064e-07
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse8.99844e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse3.08527e-07
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.06355e-07
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[195, 2]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10369417099294646, -6.415456205557932e-05, 0.041588100999725104, 0.020281677462030905, 0.02115388833748389, -0.010608724316430812, 0.010649634358320025, 0.005301092933078658]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000554641
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000554641
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13465.9
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.11332
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap17.611
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.11862e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.65926e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.11285e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.61452e-07
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[195, 1], [577, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10354455116156233, -1.1872104089524854e-05, 0.04149903066978382, 0.02020076833030409, 0.021164485712606672, -0.010672726913387517, 0.010651793717534648, 0.0052607108288739825]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000552877
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000552877
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13465.5
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.14161
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap17.9421
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.60706e-07
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse5.16711e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.60487e-07
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse8.72076e-08
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[190, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10367202551720262, -2.6849073630426812e-05, 0.04162884469430858, 0.020287092541591823, 0.02113174313985371, -0.010628756781661423, 0.010712522274447273, 0.005371191367214167]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.00055471
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.00055471
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13465.3
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.05782
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap18.1523
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.27591e-07
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse8.53558e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.26975e-07
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.04684e-07
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14107
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14095.4
best_by_coupling_flag.0.objective_with_gain_penalty-14095.4
best_by_coupling_flag.0.objective_without_coupling_penalty-14095.4
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14095.4
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14105.4
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14093.8
best_by_coupling_flag.1.objective_with_gain_penalty-14093.8
best_by_coupling_flag.1.objective_without_coupling_penalty-14093.8
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14093.1
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty1.57997
coupling_score_gap_eta1_minus_eta0_with_new_penalty2.27312
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C3 加算混合 / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149519
[0].acoustic.peak0.347897
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.065
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.185
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.145439
[1].acoustic.peak0.344687
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.575
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.355
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.155963
[0].acoustic.peak0.396713
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.561
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.924
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150583
[0].acoustic.peak0.400298
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz215.555
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000698674
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000541909
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000703772
[0].mechanism.mean_error.mse.all4.43254e-07
[0].mechanism.mean_error.mse.inside4.50771e-07
[0].mechanism.mean_error.mse.outside4.4301e-07
[0].mechanism.mean_error.mae.all0.000500243
[0].mechanism.mean_error.mae.inside0.000504243
[0].mechanism.mean_error.mae.outside0.000500113
[0].mechanism.mean_error.bias.all2.92088e-06
[0].mechanism.mean_error.bias.inside-1.21391e-05
[0].mechanism.mean_error.bias.outside3.41061e-06
[0].mechanism.variance_error.mse.all3.81169e-11
[0].mechanism.variance_error.mse.inside2.10413e-10
[0].mechanism.variance_error.mse.outside3.25142e-11
[0].mechanism.variance_error.mae.all5.48357e-06
[0].mechanism.variance_error.mae.inside1.275e-05
[0].mechanism.variance_error.mae.outside5.24728e-06
[0].mechanism.variance_error.bias.all5.48357e-06
[0].mechanism.variance_error.bias.inside1.275e-05
[0].mechanism.variance_error.bias.outside5.24728e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.62617e-06
[0].mechanism.localized.integrated_variance_error5.98941e-08
[0].mechanism.localized.integrated_variance_relative_error0.0131166
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s2.77556e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.59517e-12
[0].mechanism.localized.error.mse.inside1.14154e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.33961e-07
[0].mechanism.localized.error.mae.inside7.42873e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.33961e-07
[0].mechanism.localized.error.bias.inside7.42873e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.984
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151439
[1].acoustic.peak0.399265
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.833
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000698674
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000541909
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000703772
[1].mechanism.mean_error.mse.all4.43254e-07
[1].mechanism.mean_error.mse.inside4.50771e-07
[1].mechanism.mean_error.mse.outside4.4301e-07
[1].mechanism.mean_error.mae.all0.000500243
[1].mechanism.mean_error.mae.inside0.000504243
[1].mechanism.mean_error.mae.outside0.000500113
[1].mechanism.mean_error.bias.all2.92088e-06
[1].mechanism.mean_error.bias.inside-1.21391e-05
[1].mechanism.mean_error.bias.outside3.41061e-06
[1].mechanism.variance_error.mse.all3.81169e-11
[1].mechanism.variance_error.mse.inside2.10413e-10
[1].mechanism.variance_error.mse.outside3.25142e-11
[1].mechanism.variance_error.mae.all5.48357e-06
[1].mechanism.variance_error.mae.inside1.275e-05
[1].mechanism.variance_error.mae.outside5.24728e-06
[1].mechanism.variance_error.bias.all5.48357e-06
[1].mechanism.variance_error.bias.inside1.275e-05
[1].mechanism.variance_error.bias.outside5.24728e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.62617e-06
[1].mechanism.localized.integrated_variance_error5.98941e-08
[1].mechanism.localized.integrated_variance_relative_error0.0131166
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s2.77556e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.59517e-12
[1].mechanism.localized.error.mse.inside1.14154e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.33961e-07
[1].mechanism.localized.error.mae.inside7.42873e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.33961e-07
[1].mechanism.localized.error.bias.inside7.42873e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.974
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150555
[0].acoustic.peak0.400432
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz214.426
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00156413
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0276353
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000716345
[0].mechanism.mean_error.mse.all4.43233e-07
[0].mechanism.mean_error.mse.inside4.51276e-07
[0].mechanism.mean_error.mse.outside4.42972e-07
[0].mechanism.mean_error.mae.all0.000502063
[0].mechanism.mean_error.mae.inside0.000506782
[0].mechanism.mean_error.mae.outside0.000501909
[0].mechanism.mean_error.bias.all2.94753e-06
[0].mechanism.mean_error.bias.inside-1.15632e-05
[0].mechanism.mean_error.bias.outside3.4194e-06
[0].mechanism.variance_error.mse.all3.19901e-09
[0].mechanism.variance_error.mse.inside1.00093e-07
[0].mechanism.variance_error.mse.outside4.81685e-11
[0].mechanism.variance_error.mae.all1.28307e-05
[0].mechanism.variance_error.mae.inside0.000210996
[0].mechanism.variance_error.mae.outside6.38674e-06
[0].mechanism.variance_error.bias.all3.19692e-06
[0].mechanism.variance_error.bias.inside-9.48961e-05
[0].mechanism.variance_error.bias.outside6.38674e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate3.74895e-06
[0].mechanism.localized.integrated_variance_error-8.17319e-07
[0].mechanism.localized.integrated_variance_relative_error-0.17899
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0988838
[0].mechanism.localized.centroid_error_s0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.15315e-09
[0].mechanism.localized.error.mse.inside1.00119e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.52134e-06
[0].mechanism.localized.error.mae.inside0.000207065
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-3.19265e-06
[0].mechanism.localized.error.bias.inside-0.000101373
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.995
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.1514
[1].acoustic.peak0.399379
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.395
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00156413
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0276353
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000716345
[1].mechanism.mean_error.mse.all4.43233e-07
[1].mechanism.mean_error.mse.inside4.51276e-07
[1].mechanism.mean_error.mse.outside4.42972e-07
[1].mechanism.mean_error.mae.all0.000502063
[1].mechanism.mean_error.mae.inside0.000506782
[1].mechanism.mean_error.mae.outside0.000501909
[1].mechanism.mean_error.bias.all2.94753e-06
[1].mechanism.mean_error.bias.inside-1.15632e-05
[1].mechanism.mean_error.bias.outside3.4194e-06
[1].mechanism.variance_error.mse.all3.19901e-09
[1].mechanism.variance_error.mse.inside1.00093e-07
[1].mechanism.variance_error.mse.outside4.81685e-11
[1].mechanism.variance_error.mae.all1.28307e-05
[1].mechanism.variance_error.mae.inside0.000210996
[1].mechanism.variance_error.mae.outside6.38674e-06
[1].mechanism.variance_error.bias.all3.19692e-06
[1].mechanism.variance_error.bias.inside-9.48961e-05
[1].mechanism.variance_error.bias.outside6.38674e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate3.74895e-06
[1].mechanism.localized.integrated_variance_error-8.17319e-07
[1].mechanism.localized.integrated_variance_relative_error-0.17899
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0988838
[1].mechanism.localized.centroid_error_s0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.15315e-09
[1].mechanism.localized.error.mse.inside1.00119e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.52134e-06
[1].mechanism.localized.error.mae.inside0.000207065
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-3.19265e-06
[1].mechanism.localized.error.bias.inside-0.000101373
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.974
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.140648
[0].acoustic.peak0.353123
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz229.173
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz140.119
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.140077
[1].acoustic.peak0.32898
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz226.143
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz140.099
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150162
[0].acoustic.peak0.339392
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz227.402
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.937
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150653
[0].acoustic.peak0.384423
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz240.116
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000695722
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000581045
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000699451
[0].mechanism.mean_error.mse.all4.41632e-07
[0].mechanism.mean_error.mse.inside4.65235e-07
[0].mechanism.mean_error.mse.outside4.40864e-07
[0].mechanism.mean_error.mae.all0.000498908
[0].mechanism.mean_error.mae.inside0.000519239
[0].mechanism.mean_error.mae.outside0.000498247
[0].mechanism.mean_error.bias.all2.78958e-06
[0].mechanism.mean_error.bias.inside4.36384e-05
[0].mechanism.mean_error.bias.outside1.46124e-06
[0].mechanism.variance_error.mse.all3.79215e-11
[0].mechanism.variance_error.mse.inside2.03212e-10
[0].mechanism.variance_error.mse.outside3.25465e-11
[0].mechanism.variance_error.mae.all5.47721e-06
[0].mechanism.variance_error.mae.inside1.24283e-05
[0].mechanism.variance_error.mae.outside5.25118e-06
[0].mechanism.variance_error.bias.all5.47721e-06
[0].mechanism.variance_error.bias.inside1.24283e-05
[0].mechanism.variance_error.bias.outside5.25118e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate4.62617e-06
[0].mechanism.localized.integrated_variance_error5.98941e-08
[0].mechanism.localized.integrated_variance_relative_error0.0131166
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s2.77556e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.59517e-12
[0].mechanism.localized.error.mse.inside1.14154e-10
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all2.33961e-07
[0].mechanism.localized.error.mae.inside7.42873e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all2.33961e-07
[0].mechanism.localized.error.bias.inside7.42873e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.125
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151042
[1].acoustic.peak0.391699
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz235.359
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000695722
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000581045
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000699451
[1].mechanism.mean_error.mse.all4.41632e-07
[1].mechanism.mean_error.mse.inside4.65235e-07
[1].mechanism.mean_error.mse.outside4.40864e-07
[1].mechanism.mean_error.mae.all0.000498908
[1].mechanism.mean_error.mae.inside0.000519239
[1].mechanism.mean_error.mae.outside0.000498247
[1].mechanism.mean_error.bias.all2.78958e-06
[1].mechanism.mean_error.bias.inside4.36384e-05
[1].mechanism.mean_error.bias.outside1.46124e-06
[1].mechanism.variance_error.mse.all3.79215e-11
[1].mechanism.variance_error.mse.inside2.03212e-10
[1].mechanism.variance_error.mse.outside3.25465e-11
[1].mechanism.variance_error.mae.all5.47721e-06
[1].mechanism.variance_error.mae.inside1.24283e-05
[1].mechanism.variance_error.mae.outside5.25118e-06
[1].mechanism.variance_error.bias.all5.47721e-06
[1].mechanism.variance_error.bias.inside1.24283e-05
[1].mechanism.variance_error.bias.outside5.25118e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate4.62617e-06
[1].mechanism.localized.integrated_variance_error5.98941e-08
[1].mechanism.localized.integrated_variance_relative_error0.0131166
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s2.77556e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.59517e-12
[1].mechanism.localized.error.mse.inside1.14154e-10
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all2.33961e-07
[1].mechanism.localized.error.mae.inside7.42873e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all2.33961e-07
[1].mechanism.localized.error.bias.inside7.42873e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.982
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150633
[0].acoustic.peak0.384506
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz239.577
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition3
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00167578
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.031308
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000712193
[0].mechanism.mean_error.mse.all4.41639e-07
[0].mechanism.mean_error.mse.inside4.63898e-07
[0].mechanism.mean_error.mse.outside4.40915e-07
[0].mechanism.mean_error.mae.all0.000500753
[0].mechanism.mean_error.mae.inside0.00052018
[0].mechanism.mean_error.mae.outside0.000500121
[0].mechanism.mean_error.bias.all2.84681e-06
[0].mechanism.mean_error.bias.inside4.22446e-05
[0].mechanism.mean_error.bias.outside1.56566e-06
[0].mechanism.variance_error.mse.all4.01551e-09
[0].mechanism.variance_error.mse.inside1.26017e-07
[0].mechanism.variance_error.mse.outside4.82164e-11
[0].mechanism.variance_error.mae.all1.34212e-05
[0].mechanism.variance_error.mae.inside0.000229599
[0].mechanism.variance_error.mae.outside6.39149e-06
[0].mechanism.variance_error.bias.all2.29993e-06
[0].mechanism.variance_error.bias.inside-0.000123523
[0].mechanism.variance_error.bias.outside6.39149e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth4.56627e-06
[0].mechanism.localized.integrated_variance_estimate3.5213e-06
[0].mechanism.localized.integrated_variance_error-1.04497e-06
[0].mechanism.localized.integrated_variance_relative_error-0.228845
[0].mechanism.localized.centroid_truth_s0.0984
[0].mechanism.localized.centroid_estimate_s0.0989006
[0].mechanism.localized.centroid_error_s0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.9755e-09
[0].mechanism.localized.error.mse.inside1.2623e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.12628e-06
[0].mechanism.localized.error.mae.inside0.000226273
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all-4.08191e-06
[0].mechanism.localized.error.bias.inside-0.000129609
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable0
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.125
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151043
[1].acoustic.peak0.399775
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz234.32
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition3
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00167578
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.031308
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000712193
[1].mechanism.mean_error.mse.all4.41639e-07
[1].mechanism.mean_error.mse.inside4.63898e-07
[1].mechanism.mean_error.mse.outside4.40915e-07
[1].mechanism.mean_error.mae.all0.000500753
[1].mechanism.mean_error.mae.inside0.00052018
[1].mechanism.mean_error.mae.outside0.000500121
[1].mechanism.mean_error.bias.all2.84681e-06
[1].mechanism.mean_error.bias.inside4.22446e-05
[1].mechanism.mean_error.bias.outside1.56566e-06
[1].mechanism.variance_error.mse.all4.01551e-09
[1].mechanism.variance_error.mse.inside1.26017e-07
[1].mechanism.variance_error.mse.outside4.82164e-11
[1].mechanism.variance_error.mae.all1.34212e-05
[1].mechanism.variance_error.mae.inside0.000229599
[1].mechanism.variance_error.mae.outside6.39149e-06
[1].mechanism.variance_error.bias.all2.29993e-06
[1].mechanism.variance_error.bias.inside-0.000123523
[1].mechanism.variance_error.bias.outside6.39149e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth4.56627e-06
[1].mechanism.localized.integrated_variance_estimate3.5213e-06
[1].mechanism.localized.integrated_variance_error-1.04497e-06
[1].mechanism.localized.integrated_variance_relative_error-0.228845
[1].mechanism.localized.centroid_truth_s0.0984
[1].mechanism.localized.centroid_estimate_s0.0989006
[1].mechanism.localized.centroid_error_s0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.9755e-09
[1].mechanism.localized.error.mse.inside1.2623e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.12628e-06
[1].mechanism.localized.error.mae.inside0.000226273
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all-4.08191e-06
[1].mechanism.localized.error.bias.inside-0.000129609
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable0
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.98
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12539791938330902, 0.00034385128378845053, 0.05023672457674046, 0.0248202803263608, 0.025060090939829454, -0.012031500110512915, 0.01245692307957727, 0.00610358435345582]
selected_unquantized.sigma2_raw0.000405247
selected_unquantized.sigma20.000405247
selected_unquantized.objective-14101.1
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14101.1
direct_rss1.65989
rss_difference4.08562e-14
sigma2_floor1.03241e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1518
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1518
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1518
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1518
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12539791938330902, 0.00034385128378845053, 0.05023672457674046, 0.0248202803263608, 0.025060090939829454, -0.012031500110512915, 0.01245692307957727, 0.00610358435345582]
top_candidates[0].sigma2_raw0.000405247
top_candidates[0].sigma20.000405247
top_candidates[0].objective-14101.1
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[191, 0]]
top_candidates[1].mean[0.12537697768975678, 0.0003542229335524819, 0.050210451253885326, 0.02486415168311078, 0.02512307319790252, -0.011990347919736874, 0.012501092112955184, 0.006129033894259597]
top_candidates[1].sigma2_raw0.000407776
top_candidates[1].sigma20.000407776
top_candidates[1].objective-14100.3
top_candidates[1].condition_number3.12101
top_candidates[1].objective_gap0.78026
top_candidates[1].edit_difference_from_selected.120.0.mean_mse5.64137e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.14207e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse5.65435e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.14232e-08
top_candidates[2].q_index10
top_candidates[2].events[[188, 0]]
top_candidates[2].mean[0.12537844370309328, 0.00035961382077311625, 0.050212069700701155, 0.024864273123965334, 0.0251209990793526, -0.011995020984202675, 0.012501901433496911, 0.006129425887670224]
top_candidates[2].sigma2_raw0.000407641
top_candidates[2].sigma20.000407641
top_candidates[2].objective-14099.4
top_candidates[2].condition_number3.1133
top_candidates[2].objective_gap1.74781
top_candidates[2].edit_difference_from_selected.120.0.mean_mse5.38577e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.07373e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse5.39603e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.07415e-08
top_candidates[3].q_index10
top_candidates[3].events[[193, 0]]
top_candidates[3].mean[0.1253602175479584, 0.00035581427569557594, 0.050217929770154546, 0.02487147700902862, 0.0251140350372597, -0.01200083431239287, 0.01251041369545122, 0.006102250334658262]
top_candidates[3].sigma2_raw0.000411582
top_candidates[3].sigma20.000411582
top_candidates[3].objective-14098.9
top_candidates[3].condition_number3.11859
top_candidates[3].objective_gap2.16987
top_candidates[3].edit_difference_from_selected.120.0.mean_mse5.54291e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.18487e-08
top_candidates[3].edit_difference_from_selected.140.0.mean_mse5.56299e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.18569e-08
top_candidates[4].q_index10
top_candidates[4].events[[195, 1]]
top_candidates[4].mean[0.1253600575816073, 0.0003312815850726029, 0.05022989955140484, 0.024857666477018002, 0.02510796510741413, -0.012048849573955045, 0.012443407019848581, 0.0060907466010785855]
top_candidates[4].sigma2_raw0.000410727
top_candidates[4].sigma20.000410727
top_candidates[4].objective-14098.2
top_candidates[4].condition_number3.1427
top_candidates[4].objective_gap2.89351
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.9892e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse5.40645e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.99191e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse5.40759e-09
top_candidates[5].q_index10
top_candidates[5].events[[185, 0]]
top_candidates[5].mean[0.125369442326714, 0.0003689459302028189, 0.05020623422361429, 0.02486593456796168, 0.025129963341922433, -0.011997411204464204, 0.012512758831631212, 0.006131635181095242]
top_candidates[5].sigma2_raw0.000408275
top_candidates[5].sigma20.000408275
top_candidates[5].objective-14095.6
top_candidates[5].condition_number3.11001
top_candidates[5].objective_gap5.4628
top_candidates[5].edit_difference_from_selected.120.0.mean_mse7.11546e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.19387e-08
top_candidates[5].edit_difference_from_selected.140.0.mean_mse7.12735e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.19471e-08
top_candidates[6].q_index10
top_candidates[6].events[[196, 1]]
top_candidates[6].mean[0.1253762592425766, 0.0003005844763305735, 0.05023000938674205, 0.02485653641548902, 0.02509283621775774, -0.01202856902722108, 0.012395476672302518, 0.00610330812893656]
top_candidates[6].sigma2_raw0.00040794
top_candidates[6].sigma20.00040794
top_candidates[6].objective-14095.6
top_candidates[6].condition_number3.19332
top_candidates[6].objective_gap5.53828
top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.31096e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse8.44988e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.29374e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse8.44946e-09
top_candidates[7].q_index10
top_candidates[7].events[[194, 0]]
top_candidates[7].mean[0.12536716155325112, 0.0003433828198424104, 0.050199398866289976, 0.02487601826598634, 0.025140045223377535, -0.011980583394126838, 0.012501450527902571, 0.006128051972755804]
top_candidates[7].sigma2_raw0.000409392
top_candidates[7].sigma20.000409392
top_candidates[7].objective-14094.5
top_candidates[7].condition_number3.13814
top_candidates[7].objective_gap6.64505
top_candidates[7].edit_difference_from_selected.120.0.mean_mse8.40953e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.42393e-08
top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.43275e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.42423e-08
top_candidates[8].q_index10
top_candidates[8].events[[190, 0]]
top_candidates[8].mean[0.125355399371082, 0.00037762596001967934, 0.05021248832690131, 0.024890781269338108, 0.025134770036705664, -0.011987239252631827, 0.012545376852017516, 0.0061147950386443465]
top_candidates[8].sigma2_raw0.000411842
top_candidates[8].sigma20.000411842
top_candidates[8].objective-14094.1
top_candidates[8].condition_number3.09639
top_candidates[8].objective_gap6.96604
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.18193e-08
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.39518e-08
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.18537e-08
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.3965e-08
top_candidates[9].q_index10
top_candidates[9].events[[51, 0], [193, 1]]
top_candidates[9].mean[0.12538117355689052, 0.0003490346994249918, 0.05021310152435517, 0.024818276513493758, 0.025038355347889132, -0.01204045069398805, 0.012446442984448887, 0.006091646330839784]
top_candidates[9].sigma2_raw0.000403132
top_candidates[9].sigma20.000403132
top_candidates[9].objective-14093.7
top_candidates[9].condition_number3.12976
top_candidates[9].objective_gap7.38805
top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.38941e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.55781e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.36164e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.55814e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13214.4
mean_gain_prepass.rss2.37597
mean_gain_prepass.sigma20.000580072
mean_gain_prepass.direct_rss2.37597
mean_gain_prepass.rss_difference-5.28466e-14
mean_gain_prepass.direct_objective-13214.4
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03241e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14101.1
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.selected_unquantized.condition_number3.07935
branch_diagnostics[1].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.direct_objective-13446.6
branch_diagnostics[1].diagnostics.direct_rss2.26347
branch_diagnostics[1].diagnostics.rss_difference-7.10543e-15
branch_diagnostics[1].diagnostics.sigma2_floor1.03241e-12
branch_diagnostics[1].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[1].diagnostics.max_condition_number12.2659
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branch_diagnostics[1].diagnostics.candidate_counts[0].two1653
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branch_diagnostics[1].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[1].diagnostics.candidate_counts[2].zero1
branch_diagnostics[1].diagnostics.candidate_counts[2].one1737
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branch_diagnostics[1].diagnostics.candidate_counts[3].q_index3
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branch_diagnostics[1].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[1].diagnostics.candidate_counts[4].zero1
branch_diagnostics[1].diagnostics.candidate_counts[4].one1737
branch_diagnostics[1].diagnostics.candidate_counts[4].two1653
branch_diagnostics[1].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[1].diagnostics.candidate_counts[5].zero1
branch_diagnostics[1].diagnostics.candidate_counts[5].one1737
branch_diagnostics[1].diagnostics.candidate_counts[5].two1653
branch_diagnostics[1].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[1].diagnostics.candidate_counts[6].zero1
branch_diagnostics[1].diagnostics.candidate_counts[6].one1737
branch_diagnostics[1].diagnostics.candidate_counts[6].two1653
branch_diagnostics[1].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[1].diagnostics.candidate_counts[7].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[1].diagnostics.candidate_counts[8].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[8].two1644
branch_diagnostics[1].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[1].diagnostics.candidate_counts[9].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
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branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[18].two1590
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[19].two1590
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1653
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[[193, 0], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10360550267695898, 0.0002965681914607928, 0.04142759669053611, 0.020427366421544423, 0.02070501372956667, -0.00996819348609541, 0.010273321135805761, 0.005061418556409317]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000552606
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000552606
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13446.6
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.07935
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[[193, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10360710724065454, 0.000282937777592021, 0.041450694614811476, 0.020431853183427065, 0.020730612200610267, -0.009959635691119175, 0.010294423581458599, 0.0050599088594743356]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000552171
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000552171
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13446.3
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.07078
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap0.337318
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.37575e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse5.39822e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.37495e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.37831e-10
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10387018161687483, 0.0003119602016956413, 0.04151026897218337, 0.02049776507862062, 0.020747414453422753, -0.009998643228987398, 0.010319795376504721, 0.005061875176154024]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000566381
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000566381
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13445.1
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.0838
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap1.50121
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.24608e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.84082e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.23753e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.89646e-09
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[193, 0], [572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10362578289394807, 0.0003045837110587618, 0.041415159260840724, 0.02042363573605993, 0.02068467831579794, -0.009978189782738211, 0.010256405502853939, 0.0050638863324924625]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000553441
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000553441
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13444.3
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.08462
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap2.24565
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.03729e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse5.41618e-10
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.03747e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse5.39876e-10
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[195, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10386007764532715, 0.0002898215340924654, 0.04151774147825109, 0.02048811171004583, 0.020738204925599156, -0.010048918530031403, 0.01025027651950479, 0.0050521946337377475]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000565549
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000565549
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13443.1
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.11032
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap3.47103
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.07574e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.5635e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.07339e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.56676e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[191, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.1039179068204259, 0.0003105899097061316, 0.0415057873238407, 0.020499258795226922, 0.020764080469310494, -0.00998755430908205, 0.010311503910392905, 0.00508708193291589]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000562402
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000562402
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13441.9
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.08598
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap4.69552
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse8.27211e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.66093e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse8.25874e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.69604e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[195, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.1038263475636546, 0.0003055178078359105, 0.04149771136176656, 0.02054241365670188, 0.020778704978515337, -0.010002987185212107, 0.01030289854521978, 0.005056332548228133]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000570316
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000570316
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13441.5
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.11743
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap5.06903
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse5.35751e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse5.40248e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse5.35102e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse5.47526e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[188, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.1039226028043072, 0.00031559105971830305, 0.04149961542717391, 0.020500575907890745, 0.02076395976175149, -0.009995539044726059, 0.010311476489841109, 0.0050901815035143926]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000562244
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000562244
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13440.8
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.07765
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap5.76713
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse8.4812e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.31102e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.4676e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.35562e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[190, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10387233001662681, 0.0003368838546604316, 0.04148871831455736, 0.0205136800329763, 0.02076751632740844, -0.009982717147589975, 0.010342994366143372, 0.005074048416035558]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000566633
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000566633
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13440.7
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.05961
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap5.91194
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse6.70002e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse5.80145e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse6.68902e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse5.87128e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[193, 0], [577, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10358713880310044, 0.00037168642886572183, 0.04136642171687023, 0.02035887376464413, 0.020678917362853308, -0.010005704919499588, 0.01024422430567066, 0.005044225029740465]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000553667
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000553667
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13440.7
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.12033
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap5.91571
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.27139e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.15116e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.26948e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.14761e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag1
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12539463670910037, 0.0003335429841662762, 0.05023112891541765, 0.02483199170495036, 0.025066647812746066, -0.012022484663111005, 0.012448301015483668, 0.006104097631895327]
selected_unquantized.sigma2_raw0.000406386
selected_unquantized.sigma20.000406386
selected_unquantized.objective-14102.5
selected_unquantized.condition_number3.12953
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14102.5
direct_rss1.66456
rss_difference5.15143e-14
sigma2_floor1.03241e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3718
candidate_counts[0].q_index1
candidate_counts[0].zero0
candidate_counts[0].one1737
candidate_counts[0].two1518
candidate_counts[1].q_index2
candidate_counts[1].zero0
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index3
candidate_counts[2].zero0
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index4
candidate_counts[3].zero0
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index5
candidate_counts[4].zero0
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index6
candidate_counts[5].zero0
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index7
candidate_counts[6].zero0
candidate_counts[6].one1737
candidate_counts[6].two1518
candidate_counts[7].q_index8
candidate_counts[7].zero0
candidate_counts[7].one1737
candidate_counts[7].two1518
candidate_counts[8].q_index9
candidate_counts[8].zero0
candidate_counts[8].one1737
candidate_counts[8].two1518
candidate_counts[9].q_index10
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candidate_counts[14].q_index15
candidate_counts[14].zero0
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index16
candidate_counts[15].zero0
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index17
candidate_counts[16].zero0
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index18
candidate_counts[17].zero0
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index19
candidate_counts[18].zero0
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index20
candidate_counts[19].zero0
candidate_counts[19].one1737
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candidate_counts[20].q_index21
candidate_counts[20].zero0
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index22
candidate_counts[21].zero0
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index23
candidate_counts[22].zero0
candidate_counts[22].one1737
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candidate_counts[23].q_index24
candidate_counts[23].zero0
candidate_counts[23].one1737
candidate_counts[23].two1626
top_candidates[0].coupling_flag1
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12539463670910037, 0.0003335429841662762, 0.05023112891541765, 0.02483199170495036, 0.025066647812746066, -0.012022484663111005, 0.012448301015483668, 0.006104097631895327]
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top_candidates[0].objective-14102.5
top_candidates[0].condition_number3.12953
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag1
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top_candidates[1].events[[190, 1]]
top_candidates[1].mean[0.12538892043110117, 0.00035191932243687507, 0.050218030696976085, 0.02484221110720965, 0.025093234527508473, -0.012025375930649975, 0.012484500053299683, 0.006112160331656657]
top_candidates[1].sigma2_raw0.000407247
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top_candidates[1].objective_gap4.33447
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.36137e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.73052e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.36093e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.49568e-09
top_candidates[2].coupling_flag1
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top_candidates[2].events[[195, 1]]
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top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.90767e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.56756e-09
top_candidates[3].coupling_flag1
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top_candidates[3].events[[188, 0]]
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top_candidates[3].edit_difference_from_selected.140.0.mean_mse6.21464e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse5.09576e-09
top_candidates[4].coupling_flag1
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top_candidates[4].events[[51, 0], [193, 1]]
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top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.41394e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.36152e-09
top_candidates[5].coupling_flag1
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top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.70512e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse5.12261e-09
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top_candidates[6].events[[193, 1], [324, 0]]
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top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.84583e-09
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top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.05013e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse7.82209e-10
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top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.4625e-10
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.45779e-10
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.50882e-09
top_candidates[9].coupling_flag1
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top_candidates[9].events[[193, 0]]
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penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13214.4
mean_gain_prepass.rss2.37597
mean_gain_prepass.sigma20.000580072
mean_gain_prepass.direct_rss2.37597
mean_gain_prepass.rss_difference-5.28466e-14
mean_gain_prepass.direct_objective-13214.4
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03241e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag1
gain_penalty_nats11.624
final_objective-14101.9
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap0.886088
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.95318e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.58601e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.94523e-08
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.54515e-08
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index10
branch_diagnostics[3].diagnostics.top_candidates[2].events[[195, 1], [575, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.10359378401986, 0.00029001547955629335, 0.041395960978031526, 0.020399533476788613, 0.020691502155100967, -0.010026893411092188, 0.010198305131599835, 0.005044188596385198]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.000553233
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.000553233
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13446.9
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number3.1279
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap2.485
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.90813e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.30972e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.9009e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.21594e-08
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index10
branch_diagnostics[3].diagnostics.top_candidates[3].events[[195, 1]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10385541065197167, 0.00027784745907371937, 0.041511256401130465, 0.020493185643575426, 0.02074515011503261, -0.010045021341472943, 0.010253562564335888, 0.005045995443059823]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000566711
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000566711
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13443.8
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number3.11566
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap5.54926
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse2.75755e-07
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse8.25852e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse2.75401e-07
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse9.99152e-08
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index10
branch_diagnostics[3].diagnostics.top_candidates[4].events[[195, 1], [572, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10361386323543635, 0.0002945136209135551, 0.04138400501112358, 0.020398261472624038, 0.0206726304309797, -0.010034796302033374, 0.010182484861844367, 0.005047337582782017]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000554119
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000554119
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13443.6
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.13272
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap5.76164
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.34206e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse4.6225e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.33404e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse7.17226e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[195, 1], [575, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.1033521078640998, 0.0002871159594263979, 0.04125043046754256, 0.020343172929939684, 0.020606499662774773, -0.009996396881964414, 0.010137205354322644, 0.005057761472993431]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000539641
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000539641
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13443
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.13441
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap6.3528
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.54874e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.23034e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.54701e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.63653e-09
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[193, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10386066139056795, 0.00028960606460361654, 0.04150251753141237, 0.020512952721856447, 0.02075963387528574, -0.00999249870119007, 0.010317027165770608, 0.005062084961464278]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000568484
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000568484
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13442.5
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.10715
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap6.89579
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.94349e-07
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse8.64237e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.93872e-07
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.02817e-07
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[193, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10392273656017777, 0.0002908556546646449, 0.04154394471766972, 0.020461618476985962, 0.020718456920946194, -0.010018468250701336, 0.01027121411950203, 0.005062541898753321]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000560963
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000560963
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13442.4
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.0953
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap7.02701
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.34006e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse9.29946e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.33537e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.09935e-07
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[578, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10353448478213485, 0.0002859442272618506, 0.041365980462299716, 0.02049726436895366, 0.020790801862588915, -0.009912059506451439, 0.010357214049945468, 0.005066925652975723]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.00056393
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.00056393
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13441.7
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.13153
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap7.72862
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.06291e-07
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse5.30968e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.06186e-07
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.0461e-08
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10326904984485187, 0.0002870735175477962, 0.041205454103635, 0.020425337785193294, 0.020713455850377385, -0.009898896061318994, 0.010307479362741534, 0.005067198871634691]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000549078
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000549078
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13441.5
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.14138
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap7.88015
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse3.73563e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse8.67773e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse3.74618e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.58148e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14112.7
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14101.1
best_by_coupling_flag.0.objective_with_gain_penalty-14101.1
best_by_coupling_flag.0.objective_without_coupling_penalty-14101.1
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14101.1
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14114.2
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14102.5
best_by_coupling_flag.1.objective_with_gain_penalty-14102.5
best_by_coupling_flag.1.objective_without_coupling_penalty-14102.5
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14101.9
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty-1.44347
coupling_score_gap_eta1_minus_eta0_with_new_penalty-0.750324
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C4 乗算混合 / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.148011
[0].acoustic.peak0.360515
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.591
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames46
[0].output_f0.positive_median_hz119.737
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.145703
[1].acoustic.peak0.358596
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz208.219
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.984
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156758
[0].acoustic.peak0.419476
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz204.84
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.934
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151881
[0].acoustic.peak0.389816
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.624
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00120961
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0197507
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000606685
[0].mechanism.mean_error.mse.all3.53356e-07
[0].mechanism.mean_error.mse.inside3.66338e-07
[0].mechanism.mean_error.mse.outside3.52934e-07
[0].mechanism.mean_error.mae.all0.00048147
[0].mechanism.mean_error.mae.inside0.000496242
[0].mechanism.mean_error.mae.outside0.00048099
[0].mechanism.mean_error.bias.all3.13608e-06
[0].mechanism.mean_error.bias.inside-1.27584e-06
[0].mechanism.mean_error.bias.outside3.27955e-06
[0].mechanism.variance_error.mse.all3.22942e-09
[0].mechanism.variance_error.mse.inside1.0254e-07
[0].mechanism.variance_error.mse.outside1.80087e-14
[0].mechanism.variance_error.mae.all6.65327e-06
[0].mechanism.variance_error.mae.inside0.000207457
[0].mechanism.variance_error.mae.outside1.23492e-07
[0].mechanism.variance_error.bias.all3.55183e-06
[0].mechanism.variance_error.bias.inside0.00010898
[0].mechanism.variance_error.bias.outside1.23492e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate4.56768e-06
[0].mechanism.localized.integrated_variance_error8.7764e-07
[0].mechanism.localized.integrated_variance_relative_error0.23784
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.2293e-09
[0].mechanism.localized.error.mse.inside1.02537e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.53507e-06
[0].mechanism.localized.error.mae.inside0.000207501
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.42828e-06
[0].mechanism.localized.error.bias.inside0.000108855
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.02537e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.0254e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80087e-14
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.919
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152246
[1].acoustic.peak0.413949
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.112
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00120961
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0197507
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000606685
[1].mechanism.mean_error.mse.all3.53356e-07
[1].mechanism.mean_error.mse.inside3.66338e-07
[1].mechanism.mean_error.mse.outside3.52934e-07
[1].mechanism.mean_error.mae.all0.00048147
[1].mechanism.mean_error.mae.inside0.000496242
[1].mechanism.mean_error.mae.outside0.00048099
[1].mechanism.mean_error.bias.all3.13608e-06
[1].mechanism.mean_error.bias.inside-1.27584e-06
[1].mechanism.mean_error.bias.outside3.27955e-06
[1].mechanism.variance_error.mse.all3.22942e-09
[1].mechanism.variance_error.mse.inside1.0254e-07
[1].mechanism.variance_error.mse.outside1.80087e-14
[1].mechanism.variance_error.mae.all6.65327e-06
[1].mechanism.variance_error.mae.inside0.000207457
[1].mechanism.variance_error.mae.outside1.23492e-07
[1].mechanism.variance_error.bias.all3.55183e-06
[1].mechanism.variance_error.bias.inside0.00010898
[1].mechanism.variance_error.bias.outside1.23492e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate4.56768e-06
[1].mechanism.localized.integrated_variance_error8.7764e-07
[1].mechanism.localized.integrated_variance_relative_error0.23784
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.2293e-09
[1].mechanism.localized.error.mse.inside1.02537e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.53507e-06
[1].mechanism.localized.error.mae.inside0.000207501
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.42828e-06
[1].mechanism.localized.error.bias.inside0.000108855
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.02537e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.0254e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80087e-14
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.007
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151881
[0].acoustic.peak0.389816
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.624
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00120961
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0197507
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000606685
[0].mechanism.mean_error.mse.all3.53356e-07
[0].mechanism.mean_error.mse.inside3.66338e-07
[0].mechanism.mean_error.mse.outside3.52934e-07
[0].mechanism.mean_error.mae.all0.00048147
[0].mechanism.mean_error.mae.inside0.000496242
[0].mechanism.mean_error.mae.outside0.00048099
[0].mechanism.mean_error.bias.all3.13608e-06
[0].mechanism.mean_error.bias.inside-1.27584e-06
[0].mechanism.mean_error.bias.outside3.27955e-06
[0].mechanism.variance_error.mse.all3.22942e-09
[0].mechanism.variance_error.mse.inside1.0254e-07
[0].mechanism.variance_error.mse.outside1.80087e-14
[0].mechanism.variance_error.mae.all6.65327e-06
[0].mechanism.variance_error.mae.inside0.000207457
[0].mechanism.variance_error.mae.outside1.23492e-07
[0].mechanism.variance_error.bias.all3.55183e-06
[0].mechanism.variance_error.bias.inside0.00010898
[0].mechanism.variance_error.bias.outside1.23492e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate4.56768e-06
[0].mechanism.localized.integrated_variance_error8.7764e-07
[0].mechanism.localized.integrated_variance_relative_error0.23784
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.2293e-09
[0].mechanism.localized.error.mse.inside1.02537e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.53507e-06
[0].mechanism.localized.error.mae.inside0.000207501
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.42828e-06
[0].mechanism.localized.error.bias.inside0.000108855
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.02537e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.0254e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80087e-14
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.919
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152246
[1].acoustic.peak0.413949
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.112
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00120961
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0197507
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000606685
[1].mechanism.mean_error.mse.all3.53356e-07
[1].mechanism.mean_error.mse.inside3.66338e-07
[1].mechanism.mean_error.mse.outside3.52934e-07
[1].mechanism.mean_error.mae.all0.00048147
[1].mechanism.mean_error.mae.inside0.000496242
[1].mechanism.mean_error.mae.outside0.00048099
[1].mechanism.mean_error.bias.all3.13608e-06
[1].mechanism.mean_error.bias.inside-1.27584e-06
[1].mechanism.mean_error.bias.outside3.27955e-06
[1].mechanism.variance_error.mse.all3.22942e-09
[1].mechanism.variance_error.mse.inside1.0254e-07
[1].mechanism.variance_error.mse.outside1.80087e-14
[1].mechanism.variance_error.mae.all6.65327e-06
[1].mechanism.variance_error.mae.inside0.000207457
[1].mechanism.variance_error.mae.outside1.23492e-07
[1].mechanism.variance_error.bias.all3.55183e-06
[1].mechanism.variance_error.bias.inside0.00010898
[1].mechanism.variance_error.bias.outside1.23492e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate4.56768e-06
[1].mechanism.localized.integrated_variance_error8.7764e-07
[1].mechanism.localized.integrated_variance_relative_error0.23784
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.2293e-09
[1].mechanism.localized.error.mse.inside1.02537e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.53507e-06
[1].mechanism.localized.error.mae.inside0.000207501
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.42828e-06
[1].mechanism.localized.error.bias.inside0.000108855
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.02537e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.0254e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80087e-14
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.007
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.142013
[0].acoustic.peak0.378565
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz224.827
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.944
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.139218
[1].acoustic.peak0.33632
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz226.785
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.672
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15098
[0].acoustic.peak0.382087
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.509
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.935
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152118
[0].acoustic.peak0.390015
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz237.469
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00128234
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0217919
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000615407
[0].mechanism.mean_error.mse.all3.56026e-07
[0].mechanism.mean_error.mse.inside3.2149e-07
[0].mechanism.mean_error.mse.outside3.57149e-07
[0].mechanism.mean_error.mae.all0.0004832
[0].mechanism.mean_error.mae.inside0.000446652
[0].mechanism.mean_error.mae.outside0.000484388
[0].mechanism.mean_error.bias.all-6.0182e-07
[0].mechanism.mean_error.bias.inside1.86059e-05
[0].mechanism.mean_error.bias.outside-1.22642e-06
[0].mechanism.variance_error.mse.all4.0699e-09
[0].mechanism.variance_error.mse.inside1.29227e-07
[0].mechanism.variance_error.mse.outside1.80266e-14
[0].mechanism.variance_error.mae.all7.27159e-06
[0].mechanism.variance_error.mae.inside0.000227087
[0].mechanism.variance_error.mae.outside1.23584e-07
[0].mechanism.variance_error.bias.all4.42697e-06
[0].mechanism.variance_error.bias.inside0.000136764
[0].mechanism.variance_error.bias.outside1.23584e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate4.56768e-06
[0].mechanism.localized.integrated_variance_error1.10171e-06
[0].mechanism.localized.integrated_variance_relative_error0.317866
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all4.06967e-09
[0].mechanism.localized.error.mse.inside1.2922e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.15292e-06
[0].mechanism.localized.error.mae.inside0.000227119
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.30357e-06
[0].mechanism.localized.error.bias.inside0.000136647
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.2922e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.29227e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80266e-14
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.007
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152333
[1].acoustic.peak0.382152
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz233.868
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00128234
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0217919
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000615407
[1].mechanism.mean_error.mse.all3.56026e-07
[1].mechanism.mean_error.mse.inside3.2149e-07
[1].mechanism.mean_error.mse.outside3.57149e-07
[1].mechanism.mean_error.mae.all0.0004832
[1].mechanism.mean_error.mae.inside0.000446652
[1].mechanism.mean_error.mae.outside0.000484388
[1].mechanism.mean_error.bias.all-6.0182e-07
[1].mechanism.mean_error.bias.inside1.86059e-05
[1].mechanism.mean_error.bias.outside-1.22642e-06
[1].mechanism.variance_error.mse.all4.0699e-09
[1].mechanism.variance_error.mse.inside1.29227e-07
[1].mechanism.variance_error.mse.outside1.80266e-14
[1].mechanism.variance_error.mae.all7.27159e-06
[1].mechanism.variance_error.mae.inside0.000227087
[1].mechanism.variance_error.mae.outside1.23584e-07
[1].mechanism.variance_error.bias.all4.42697e-06
[1].mechanism.variance_error.bias.inside0.000136764
[1].mechanism.variance_error.bias.outside1.23584e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate4.56768e-06
[1].mechanism.localized.integrated_variance_error1.10171e-06
[1].mechanism.localized.integrated_variance_relative_error0.317866
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all4.06967e-09
[1].mechanism.localized.error.mse.inside1.2922e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.15292e-06
[1].mechanism.localized.error.mae.inside0.000227119
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.30357e-06
[1].mechanism.localized.error.bias.inside0.000136647
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.2922e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.29227e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80266e-14
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.976
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152118
[0].acoustic.peak0.390015
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz237.469
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00128234
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0217919
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000615407
[0].mechanism.mean_error.mse.all3.56026e-07
[0].mechanism.mean_error.mse.inside3.2149e-07
[0].mechanism.mean_error.mse.outside3.57149e-07
[0].mechanism.mean_error.mae.all0.0004832
[0].mechanism.mean_error.mae.inside0.000446652
[0].mechanism.mean_error.mae.outside0.000484388
[0].mechanism.mean_error.bias.all-6.0182e-07
[0].mechanism.mean_error.bias.inside1.86059e-05
[0].mechanism.mean_error.bias.outside-1.22642e-06
[0].mechanism.variance_error.mse.all4.0699e-09
[0].mechanism.variance_error.mse.inside1.29227e-07
[0].mechanism.variance_error.mse.outside1.80266e-14
[0].mechanism.variance_error.mae.all7.27159e-06
[0].mechanism.variance_error.mae.inside0.000227087
[0].mechanism.variance_error.mae.outside1.23584e-07
[0].mechanism.variance_error.bias.all4.42697e-06
[0].mechanism.variance_error.bias.inside0.000136764
[0].mechanism.variance_error.bias.outside1.23584e-07
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate4.56768e-06
[0].mechanism.localized.integrated_variance_error1.10171e-06
[0].mechanism.localized.integrated_variance_relative_error0.317866
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all4.06967e-09
[0].mechanism.localized.error.mse.inside1.2922e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.15292e-06
[0].mechanism.localized.error.mae.inside0.000227119
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.30357e-06
[0].mechanism.localized.error.bias.inside0.000136647
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.2922e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.29227e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80266e-14
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.007
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152333
[1].acoustic.peak0.382152
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz233.868
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00128234
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0217919
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000615407
[1].mechanism.mean_error.mse.all3.56026e-07
[1].mechanism.mean_error.mse.inside3.2149e-07
[1].mechanism.mean_error.mse.outside3.57149e-07
[1].mechanism.mean_error.mae.all0.0004832
[1].mechanism.mean_error.mae.inside0.000446652
[1].mechanism.mean_error.mae.outside0.000484388
[1].mechanism.mean_error.bias.all-6.0182e-07
[1].mechanism.mean_error.bias.inside1.86059e-05
[1].mechanism.mean_error.bias.outside-1.22642e-06
[1].mechanism.variance_error.mse.all4.0699e-09
[1].mechanism.variance_error.mse.inside1.29227e-07
[1].mechanism.variance_error.mse.outside1.80266e-14
[1].mechanism.variance_error.mae.all7.27159e-06
[1].mechanism.variance_error.mae.inside0.000227087
[1].mechanism.variance_error.mae.outside1.23584e-07
[1].mechanism.variance_error.bias.all4.42697e-06
[1].mechanism.variance_error.bias.inside0.000136764
[1].mechanism.variance_error.bias.outside1.23584e-07
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate4.56768e-06
[1].mechanism.localized.integrated_variance_error1.10171e-06
[1].mechanism.localized.integrated_variance_relative_error0.317866
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all4.06967e-09
[1].mechanism.localized.error.mse.inside1.2922e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.15292e-06
[1].mechanism.localized.error.mae.inside0.000227119
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.30357e-06
[1].mechanism.localized.error.bias.inside0.000136647
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.2922e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.29227e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.80266e-14
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz139.976
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
selected_unquantized.sigma2_raw0.000400123
selected_unquantized.sigma20.000400123
selected_unquantized.objective-14127.2
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14127.2
direct_rss1.63891
rss_difference-6.66134e-15
sigma2_floor1.04475e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
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core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
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mean_gain_prepass.rss2.40015
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mean_gain_prepass.direct_rss2.40015
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mean_gain_prepass.direct_objective-13193.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04475e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14127.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[190, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10436446643183635, 0.0002673370187896661, 0.04228556887417252, 0.021144014551586914, 0.021088558962448982, -0.010224696969268131, 0.00998887061640564, 0.005546887051355097]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000554254
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000554254
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13454.4
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.10136
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap10.386
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.37296e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.55775e-08
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.35908e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.55825e-08
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[193, 1], [576, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10435880025737586, 0.0002274630292122784, 0.042322207892888375, 0.021114630023763965, 0.021073869330848236, -0.010261584853826484, 0.010023770913599461, 0.005542348465838451]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000551003
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000551003
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13453.8
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.15383
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap11.0445
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.41325e-10
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.22729e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.40258e-10
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.23749e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[0, 0], [193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10431170330698561, 0.00024641162434435826, 0.042266663691328026, 0.02112648821258066, 0.02102462060515583, -0.010245958917281955, 0.009987143250485239, 0.005549594189181756]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000550943
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000550943
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13453.6
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.14394
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap11.2282
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse8.47224e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.22796e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse8.45873e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.23846e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 1], [336, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10440510905004108, 0.00021719960720163823, 0.04232374225736424, 0.02114419845648206, 0.021074284154581128, -0.010264163987751828, 0.010011845133438795, 0.005552348563935875]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.00055005
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.00055005
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13453.1
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.12033
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap11.7317
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.43562e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.23148e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.42999e-09
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.22576e-09
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[3, 0], [193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10433387502323191, 0.00021519794562956064, 0.042302400728687434, 0.02108766427345643, 0.02105911251917077, -0.010284247252097914, 0.010013754957625912, 0.005523176054370637]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000551351
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000551351
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13452.8
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.14779
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap11.9645
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse3.9757e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.22927e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.96382e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.23714e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[193, 1], [309, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10443103385892548, 0.00019770293482388888, 0.04233048501170487, 0.021173112245263498, 0.021054831207467786, -0.010282134094642542, 0.01004379238828491, 0.005553347019370996]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000550753
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000550753
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13452.7
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.13428
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap12.1045
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse6.47798e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.22975e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.45471e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.22459e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock45
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock53

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
selected_unquantized.sigma2_raw0.000400123
selected_unquantized.sigma20.000400123
selected_unquantized.objective-14127.2
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14127.2
direct_rss1.63891
rss_difference-6.66134e-15
sigma2_floor1.04475e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1518
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1518
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
top_candidates[0].sigma2_raw0.000400123
top_candidates[0].sigma20.000400123
top_candidates[0].objective-14127.2
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[193, 1], [576, 0]]
top_candidates[1].mean[0.12588367092271252, 0.0002330621370291985, 0.050928459626893914, 0.02527210805620684, 0.025237027554273258, -0.012631880266507222, 0.012113575206908242, 0.006493773782519485]
top_candidates[1].sigma2_raw0.000398066
top_candidates[1].sigma20.000398066
top_candidates[1].objective-14119.6
top_candidates[1].condition_number3.12976
top_candidates[1].objective_gap7.54248
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.85002e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.39421e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.84469e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.47382e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[193, 1], [336, 0]]
top_candidates[2].mean[0.12592980540544416, 0.0002217461779184896, 0.05096874312893518, 0.025295246975017175, 0.02525299480134393, -0.01261856156726305, 0.01210661023537396, 0.0065026437597754325]
top_candidates[2].sigma2_raw0.000397375
top_candidates[2].sigma20.000397375
top_candidates[2].objective-14118.9
top_candidates[2].condition_number3.09915
top_candidates[2].objective_gap8.21767
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.85112e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.4475e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.84455e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.40758e-10
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[193, 1], [576, 1]]
top_candidates[3].mean[0.1258435570271042, 0.0002356966541624999, 0.05088993045476842, 0.025255629399743035, 0.0252199988367836, -0.012651090538404715, 0.01211621628289544, 0.006483160739709125]
top_candidates[3].sigma2_raw0.000395983
top_candidates[3].sigma20.000395983
top_candidates[3].objective-14118.9
top_candidates[3].condition_number3.15162
top_candidates[3].objective_gap8.26808
top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.81989e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.01579e-08
top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.79557e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.02217e-08
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[193, 1], [394, 0]]
top_candidates[4].mean[0.12591449053048917, 0.00022598458872288341, 0.05096056987628779, 0.02528546511237162, 0.02525940663514874, -0.01262891753636407, 0.012109318902579777, 0.0064705723610516755]
top_candidates[4].sigma2_raw0.00039559
top_candidates[4].sigma20.00039559
top_candidates[4].objective-14118.3
top_candidates[4].condition_number3.08775
top_candidates[4].objective_gap8.86991
top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.26055e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.26955e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.25945e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.25092e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[195, 2]]
top_candidates[5].mean[0.1259105253903014, 0.00020577801859792604, 0.05094426554084438, 0.02527238773245922, 0.02521798173387323, -0.01260871497842634, 0.012085870198208252, 0.006522741392507939]
top_candidates[5].sigma2_raw0.000402197
top_candidates[5].sigma20.000402197
top_candidates[5].objective-14118.2
top_candidates[5].condition_number3.14035
top_candidates[5].objective_gap8.9216
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.14542e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.55382e-08
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.159e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse8.55292e-08
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[193, 1], [331, 0]]
top_candidates[6].mean[0.12592047119299501, 0.0002197430734312562, 0.050961794535903715, 0.025290469461781317, 0.025264884054470627, -0.012633825128627721, 0.012122832654766894, 0.006507533779949278]
top_candidates[6].sigma2_raw0.000396163
top_candidates[6].sigma20.000396163
top_candidates[6].objective-14117.9
top_candidates[6].condition_number3.10424
top_candidates[6].objective_gap9.28921
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.68187e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.26283e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.67027e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.25622e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[193, 1], [393, 0]]
top_candidates[7].mean[0.1259170821209537, 0.0002263564761311814, 0.05096454580517243, 0.02529333119379336, 0.025270194231901626, -0.012618222666347781, 0.012123797663510395, 0.006476305678627383]
top_candidates[7].sigma2_raw0.000396977
top_candidates[7].sigma20.000396977
top_candidates[7].objective-14117.5
top_candidates[7].condition_number3.05986
top_candidates[7].objective_gap9.61033
top_candidates[7].edit_difference_from_selected.120.0.mean_mse4.79192e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.49725e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse4.80884e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.38113e-10
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[84, 0], [193, 1]]
top_candidates[8].mean[0.12591582824363814, 0.00022340981723518636, 0.050978823052914596, 0.02527550715609671, 0.025265781759251, -0.012598760875736864, 0.012098147766792314, 0.0065105703094083135]
top_candidates[8].sigma2_raw0.000398107
top_candidates[8].sigma20.000398107
top_candidates[8].objective-14117.4
top_candidates[8].condition_number3.11098
top_candidates[8].objective_gap9.74384
top_candidates[8].edit_difference_from_selected.120.0.mean_mse6.09971e-10
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.42551e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse6.0744e-10
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.47954e-10
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[193, 1], [574, 0]]
top_candidates[9].mean[0.1258732572403369, 0.00023958308168406484, 0.05092068776425173, 0.025270808697541856, 0.025236438703074925, -0.012639275041752343, 0.012120156790200547, 0.006485412987636973]
top_candidates[9].sigma2_raw0.000397051
top_candidates[9].sigma20.000397051
top_candidates[9].objective-14117.3
top_candidates[9].condition_number3.13981
top_candidates[9].objective_gap9.85744
top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.93314e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.26282e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.92231e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.28148e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index0
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index3
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13193.7
mean_gain_prepass.rss2.40015
mean_gain_prepass.sigma20.000585973
mean_gain_prepass.direct_rss2.40015
mean_gain_prepass.rss_difference7.01661e-14
mean_gain_prepass.direct_objective-13193.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.04475e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14127.2
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-14138.8
branch_diagnostics[0].event_penalty_nats11.6188
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14127.2
branch_diagnostics[0].objective_with_gain_penalty-14127.2
branch_diagnostics[0].objective_without_coupling_penalty-14127.2
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-14127.2
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 1]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000400123
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000400123
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14127.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.109
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14127.2
branch_diagnostics[0].diagnostics.direct_rss1.63891
branch_diagnostics[0].diagnostics.rss_difference-6.66134e-15
branch_diagnostics[0].diagnostics.sigma2_floor1.04475e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1590
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1590
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1590
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1590
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1590
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[5].two1590
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
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branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
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branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
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branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[14].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[16].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[17].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[18].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[19].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[0].diagnostics.candidate_counts[20].zero1
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branch_diagnostics[0].diagnostics.candidate_counts[20].two1626
branch_diagnostics[0].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[0].diagnostics.candidate_counts[21].zero1
branch_diagnostics[0].diagnostics.candidate_counts[21].one1737
branch_diagnostics[0].diagnostics.candidate_counts[21].two1590
branch_diagnostics[0].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[0].diagnostics.candidate_counts[22].zero1
branch_diagnostics[0].diagnostics.candidate_counts[22].one1737
branch_diagnostics[0].diagnostics.candidate_counts[22].two1626
branch_diagnostics[0].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[0].diagnostics.candidate_counts[23].zero1
branch_diagnostics[0].diagnostics.candidate_counts[23].one1737
branch_diagnostics[0].diagnostics.candidate_counts[23].two1626
branch_diagnostics[0].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[0].diagnostics.candidate_counts[24].zero1
branch_diagnostics[0].diagnostics.candidate_counts[24].one1737
branch_diagnostics[0].diagnostics.candidate_counts[24].two1518
branch_diagnostics[0].diagnostics.top_candidates[0].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[0].q_index10
branch_diagnostics[0].diagnostics.top_candidates[0].events[[193, 1]]
branch_diagnostics[0].diagnostics.top_candidates[0].mean[0.12592155083237427, 0.0002297564536383534, 0.050965885980587704, 0.025285216639491178, 0.025257018778864486, -0.012617787848380536, 0.012117071030023902, 0.006501697727291194]
branch_diagnostics[0].diagnostics.top_candidates[0].sigma2_raw0.000400123
branch_diagnostics[0].diagnostics.top_candidates[0].sigma20.000400123
branch_diagnostics[0].diagnostics.top_candidates[0].objective-14127.2
branch_diagnostics[0].diagnostics.top_candidates[0].condition_number3.109
branch_diagnostics[0].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.top_candidates[1].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[1].q_index10
branch_diagnostics[0].diagnostics.top_candidates[1].events[[193, 1], [576, 0]]
branch_diagnostics[0].diagnostics.top_candidates[1].mean[0.12588367092271252, 0.0002330621370291985, 0.050928459626893914, 0.02527210805620684, 0.025237027554273258, -0.012631880266507222, 0.012113575206908242, 0.006493773782519485]
branch_diagnostics[0].diagnostics.top_candidates[1].sigma2_raw0.000398066
branch_diagnostics[0].diagnostics.top_candidates[1].sigma20.000398066
branch_diagnostics[0].diagnostics.top_candidates[1].objective-14119.6
branch_diagnostics[0].diagnostics.top_candidates[1].condition_number3.12976
branch_diagnostics[0].diagnostics.top_candidates[1].objective_gap7.54248
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.85002e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.39421e-10
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.84469e-09
branch_diagnostics[0].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.47382e-10
branch_diagnostics[0].diagnostics.top_candidates[2].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[2].q_index10
branch_diagnostics[0].diagnostics.top_candidates[2].events[[193, 1], [336, 0]]
branch_diagnostics[0].diagnostics.top_candidates[2].mean[0.12592980540544416, 0.0002217461779184896, 0.05096874312893518, 0.025295246975017175, 0.02525299480134393, -0.01261856156726305, 0.01210661023537396, 0.0065026437597754325]
branch_diagnostics[0].diagnostics.top_candidates[2].sigma2_raw0.000397375
branch_diagnostics[0].diagnostics.top_candidates[2].sigma20.000397375
branch_diagnostics[0].diagnostics.top_candidates[2].objective-14118.9
branch_diagnostics[0].diagnostics.top_candidates[2].condition_number3.09915
branch_diagnostics[0].diagnostics.top_candidates[2].objective_gap8.21767
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.85112e-10
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.4475e-10
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.84455e-10
branch_diagnostics[0].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.40758e-10
branch_diagnostics[0].diagnostics.top_candidates[3].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[3].q_index10
branch_diagnostics[0].diagnostics.top_candidates[3].events[[193, 1], [576, 1]]
branch_diagnostics[0].diagnostics.top_candidates[3].mean[0.1258435570271042, 0.0002356966541624999, 0.05088993045476842, 0.025255629399743035, 0.0252199988367836, -0.012651090538404715, 0.01211621628289544, 0.006483160739709125]
branch_diagnostics[0].diagnostics.top_candidates[3].sigma2_raw0.000395983
branch_diagnostics[0].diagnostics.top_candidates[3].sigma20.000395983
branch_diagnostics[0].diagnostics.top_candidates[3].objective-14118.9
branch_diagnostics[0].diagnostics.top_candidates[3].condition_number3.15162
branch_diagnostics[0].diagnostics.top_candidates[3].objective_gap8.26808
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.81989e-09
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.01579e-08
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.79557e-09
branch_diagnostics[0].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.02217e-08
branch_diagnostics[0].diagnostics.top_candidates[4].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[4].q_index10
branch_diagnostics[0].diagnostics.top_candidates[4].events[[193, 1], [394, 0]]
branch_diagnostics[0].diagnostics.top_candidates[4].mean[0.12591449053048917, 0.00022598458872288341, 0.05096056987628779, 0.02528546511237162, 0.02525940663514874, -0.01262891753636407, 0.012109318902579777, 0.0064705723610516755]
branch_diagnostics[0].diagnostics.top_candidates[4].sigma2_raw0.00039559
branch_diagnostics[0].diagnostics.top_candidates[4].sigma20.00039559
branch_diagnostics[0].diagnostics.top_candidates[4].objective-14118.3
branch_diagnostics[0].diagnostics.top_candidates[4].condition_number3.08775
branch_diagnostics[0].diagnostics.top_candidates[4].objective_gap8.86991
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.26055e-10
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.26955e-09
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.25945e-10
branch_diagnostics[0].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.25092e-09
branch_diagnostics[0].diagnostics.top_candidates[5].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[5].q_index10
branch_diagnostics[0].diagnostics.top_candidates[5].events[[195, 2]]
branch_diagnostics[0].diagnostics.top_candidates[5].mean[0.1259105253903014, 0.00020577801859792604, 0.05094426554084438, 0.02527238773245922, 0.02521798173387323, -0.01260871497842634, 0.012085870198208252, 0.006522741392507939]
branch_diagnostics[0].diagnostics.top_candidates[5].sigma2_raw0.000402197
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branch_diagnostics[0].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.55382e-08
branch_diagnostics[0].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.159e-09
branch_diagnostics[0].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse8.55292e-08
branch_diagnostics[0].diagnostics.top_candidates[6].coupling_flag0
branch_diagnostics[0].diagnostics.top_candidates[6].q_index10
branch_diagnostics[0].diagnostics.top_candidates[6].events[[193, 1], [331, 0]]
branch_diagnostics[0].diagnostics.top_candidates[6].mean[0.12592047119299501, 0.0002197430734312562, 0.050961794535903715, 0.025290469461781317, 0.025264884054470627, -0.012633825128627721, 0.012122832654766894, 0.006507533779949278]
branch_diagnostics[0].diagnostics.top_candidates[6].sigma2_raw0.000396163
branch_diagnostics[0].diagnostics.top_candidates[6].sigma20.000396163
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branch_diagnostics[0].diagnostics.top_candidates[6].condition_number3.10424
branch_diagnostics[0].diagnostics.top_candidates[6].objective_gap9.28921
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.68187e-10
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.26283e-09
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.67027e-10
branch_diagnostics[0].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.25622e-09
branch_diagnostics[0].diagnostics.top_candidates[7].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[7].events[[193, 1], [393, 0]]
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branch_diagnostics[0].diagnostics.top_candidates[7].sigma20.000396977
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branch_diagnostics[0].diagnostics.top_candidates[7].objective_gap9.61033
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branch_diagnostics[0].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.49725e-10
branch_diagnostics[0].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse4.80884e-10
branch_diagnostics[0].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.38113e-10
branch_diagnostics[0].diagnostics.top_candidates[8].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[8].events[[84, 0], [193, 1]]
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branch_diagnostics[0].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse6.0744e-10
branch_diagnostics[0].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.47954e-10
branch_diagnostics[0].diagnostics.top_candidates[9].coupling_flag0
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branch_diagnostics[0].diagnostics.top_candidates[9].events[[193, 1], [574, 0]]
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best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14134.6
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14122.9
best_by_coupling_flag.1.objective_with_gain_penalty-14122.9
best_by_coupling_flag.1.objective_without_coupling_penalty-14122.9
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14122.3
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty4.20873
coupling_score_gap_eta1_minus_eta0_with_new_penalty4.90188
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C4 乗算混合 / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.148692
[0].acoustic.peak0.345197
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz204.572
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.295
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.145179
[1].acoustic.peak0.345732
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz205.089
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.587
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.156206
[0].acoustic.peak0.392693
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz203.833
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.956
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151229
[0].acoustic.peak0.418713
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz213.246
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0011095
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200511
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000493549
[0].mechanism.mean_error.mse.all4.52127e-07
[0].mechanism.mean_error.mse.inside4.53845e-07
[0].mechanism.mean_error.mse.outside4.52071e-07
[0].mechanism.mean_error.mae.all0.000543832
[0].mechanism.mean_error.mae.inside0.000540196
[0].mechanism.mean_error.mae.outside0.00054395
[0].mechanism.mean_error.bias.all4.43341e-06
[0].mechanism.mean_error.bias.inside-2.14318e-05
[0].mechanism.mean_error.bias.outside5.2745e-06
[0].mechanism.variance_error.mse.all3.29187e-09
[0].mechanism.variance_error.mse.inside1.04366e-07
[0].mechanism.variance_error.mse.outside5.11637e-12
[0].mechanism.variance_error.mae.all8.57228e-06
[0].mechanism.variance_error.mae.inside0.000208176
[0].mechanism.variance_error.mae.outside2.08151e-06
[0].mechanism.variance_error.bias.all5.59802e-06
[0].mechanism.variance_error.bias.inside0.000113737
[0].mechanism.variance_error.bias.outside2.08151e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate4.59003e-06
[0].mechanism.localized.integrated_variance_error8.99989e-07
[0].mechanism.localized.integrated_variance_relative_error0.243897
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.28474e-09
[0].mechanism.localized.error.mse.inside1.04297e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.57173e-06
[0].mechanism.localized.error.mae.inside0.000208665
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.51558e-06
[0].mechanism.localized.error.bias.inside0.000111627
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.04297e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.04366e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse5.11637e-12
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.851
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151693
[1].acoustic.peak0.390158
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz214.057
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0011095
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200511
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000493549
[1].mechanism.mean_error.mse.all4.52127e-07
[1].mechanism.mean_error.mse.inside4.53845e-07
[1].mechanism.mean_error.mse.outside4.52071e-07
[1].mechanism.mean_error.mae.all0.000543832
[1].mechanism.mean_error.mae.inside0.000540196
[1].mechanism.mean_error.mae.outside0.00054395
[1].mechanism.mean_error.bias.all4.43341e-06
[1].mechanism.mean_error.bias.inside-2.14318e-05
[1].mechanism.mean_error.bias.outside5.2745e-06
[1].mechanism.variance_error.mse.all3.29187e-09
[1].mechanism.variance_error.mse.inside1.04366e-07
[1].mechanism.variance_error.mse.outside5.11637e-12
[1].mechanism.variance_error.mae.all8.57228e-06
[1].mechanism.variance_error.mae.inside0.000208176
[1].mechanism.variance_error.mae.outside2.08151e-06
[1].mechanism.variance_error.bias.all5.59802e-06
[1].mechanism.variance_error.bias.inside0.000113737
[1].mechanism.variance_error.bias.outside2.08151e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate4.59003e-06
[1].mechanism.localized.integrated_variance_error8.99989e-07
[1].mechanism.localized.integrated_variance_relative_error0.243897
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.28474e-09
[1].mechanism.localized.error.mse.inside1.04297e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.57173e-06
[1].mechanism.localized.error.mae.inside0.000208665
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.51558e-06
[1].mechanism.localized.error.bias.inside0.000111627
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.04297e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.04366e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse5.11637e-12
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.922
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151214
[0].acoustic.peak0.434177
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz212.812
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.000506505
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000321643
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000512516
[0].mechanism.mean_error.mse.all4.65411e-07
[0].mechanism.mean_error.mse.inside4.67597e-07
[0].mechanism.mean_error.mse.outside4.65339e-07
[0].mechanism.mean_error.mae.all0.000544893
[0].mechanism.mean_error.mae.inside0.000541192
[0].mechanism.mean_error.mae.outside0.000545013
[0].mechanism.mean_error.bias.all4.45373e-06
[0].mechanism.mean_error.bias.inside-2.15886e-05
[0].mechanism.mean_error.bias.outside5.30058e-06
[0].mechanism.variance_error.mse.all1.44787e-11
[0].mechanism.variance_error.mse.inside6.51228e-11
[0].mechanism.variance_error.mse.outside1.28319e-11
[0].mechanism.variance_error.mae.all3.41666e-06
[0].mechanism.variance_error.mae.inside7.11424e-06
[0].mechanism.variance_error.mae.outside3.29642e-06
[0].mechanism.variance_error.bias.all3.41666e-06
[0].mechanism.variance_error.bias.inside7.11424e-06
[0].mechanism.variance_error.bias.outside3.29642e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate3.72045e-06
[0].mechanism.localized.integrated_variance_error3.04062e-08
[0].mechanism.localized.integrated_variance_relative_error0.00824007
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0988838
[0].mechanism.localized.centroid_error_s0
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all8.76686e-13
[0].mechanism.localized.error.mse.inside2.78365e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all1.18774e-07
[0].mechanism.localized.error.mae.inside3.77131e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all1.18774e-07
[0].mechanism.localized.error.bias.inside3.77131e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse2.78365e-11
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse6.51228e-11
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.28319e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.853
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151647
[1].acoustic.peak0.392452
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz213.487
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.000506505
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000321643
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000512516
[1].mechanism.mean_error.mse.all4.65411e-07
[1].mechanism.mean_error.mse.inside4.67597e-07
[1].mechanism.mean_error.mse.outside4.65339e-07
[1].mechanism.mean_error.mae.all0.000544893
[1].mechanism.mean_error.mae.inside0.000541192
[1].mechanism.mean_error.mae.outside0.000545013
[1].mechanism.mean_error.bias.all4.45373e-06
[1].mechanism.mean_error.bias.inside-2.15886e-05
[1].mechanism.mean_error.bias.outside5.30058e-06
[1].mechanism.variance_error.mse.all1.44787e-11
[1].mechanism.variance_error.mse.inside6.51228e-11
[1].mechanism.variance_error.mse.outside1.28319e-11
[1].mechanism.variance_error.mae.all3.41666e-06
[1].mechanism.variance_error.mae.inside7.11424e-06
[1].mechanism.variance_error.mae.outside3.29642e-06
[1].mechanism.variance_error.bias.all3.41666e-06
[1].mechanism.variance_error.bias.inside7.11424e-06
[1].mechanism.variance_error.bias.outside3.29642e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate3.72045e-06
[1].mechanism.localized.integrated_variance_error3.04062e-08
[1].mechanism.localized.integrated_variance_relative_error0.00824007
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0988838
[1].mechanism.localized.centroid_error_s0
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all8.76686e-13
[1].mechanism.localized.error.mse.inside2.78365e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all1.18774e-07
[1].mechanism.localized.error.mae.inside3.77131e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all1.18774e-07
[1].mechanism.localized.error.bias.inside3.77131e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse2.78365e-11
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse6.51228e-11
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.28319e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.922
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.13965
[0].acoustic.peak0.332635
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz222.095
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz140.688
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.138731
[1].acoustic.peak0.341331
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz221.806
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz139.902
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150361
[0].acoustic.peak0.357409
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz221.241
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.983
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150545
[0].acoustic.peak0.396172
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz240.871
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00117367
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0221821
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000490517
[0].mechanism.mean_error.mse.all4.50716e-07
[0].mechanism.mean_error.mse.inside4.44708e-07
[0].mechanism.mean_error.mse.outside4.50911e-07
[0].mechanism.mean_error.mae.all0.00054219
[0].mechanism.mean_error.mae.inside0.000547222
[0].mechanism.mean_error.mae.outside0.000542026
[0].mechanism.mean_error.bias.all3.55864e-06
[0].mechanism.mean_error.bias.inside6.57781e-05
[0].mechanism.mean_error.bias.outside1.53537e-06
[0].mechanism.variance_error.mse.all4.14733e-09
[0].mechanism.variance_error.mse.inside1.31528e-07
[0].mechanism.variance_error.mse.outside5.12146e-12
[0].mechanism.variance_error.mae.all9.20027e-06
[0].mechanism.variance_error.mae.inside0.000228068
[0].mechanism.variance_error.mae.outside2.08306e-06
[0].mechanism.variance_error.bias.all6.47079e-06
[0].mechanism.variance_error.bias.inside0.000141402
[0].mechanism.variance_error.bias.outside2.08306e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate4.59003e-06
[0].mechanism.localized.integrated_variance_error1.12406e-06
[0].mechanism.localized.integrated_variance_relative_error0.324314
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all4.13845e-09
[0].mechanism.localized.error.mse.inside1.31404e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.19526e-06
[0].mechanism.localized.error.mae.inside0.000228464
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.39087e-06
[0].mechanism.localized.error.bias.inside0.000139419
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.31404e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.31528e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse5.12146e-12
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.027
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.14999
[1].acoustic.peak0.392445
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz236.592
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00117367
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0221821
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000490517
[1].mechanism.mean_error.mse.all4.50716e-07
[1].mechanism.mean_error.mse.inside4.44708e-07
[1].mechanism.mean_error.mse.outside4.50911e-07
[1].mechanism.mean_error.mae.all0.00054219
[1].mechanism.mean_error.mae.inside0.000547222
[1].mechanism.mean_error.mae.outside0.000542026
[1].mechanism.mean_error.bias.all3.55864e-06
[1].mechanism.mean_error.bias.inside6.57781e-05
[1].mechanism.mean_error.bias.outside1.53537e-06
[1].mechanism.variance_error.mse.all4.14733e-09
[1].mechanism.variance_error.mse.inside1.31528e-07
[1].mechanism.variance_error.mse.outside5.12146e-12
[1].mechanism.variance_error.mae.all9.20027e-06
[1].mechanism.variance_error.mae.inside0.000228068
[1].mechanism.variance_error.mae.outside2.08306e-06
[1].mechanism.variance_error.bias.all6.47079e-06
[1].mechanism.variance_error.bias.inside0.000141402
[1].mechanism.variance_error.bias.outside2.08306e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate4.59003e-06
[1].mechanism.localized.integrated_variance_error1.12406e-06
[1].mechanism.localized.integrated_variance_relative_error0.324314
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all4.13845e-09
[1].mechanism.localized.error.mse.inside1.31404e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.19526e-06
[1].mechanism.localized.error.mae.inside0.000228464
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.39087e-06
[1].mechanism.localized.error.bias.inside0.000139419
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.31404e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.31528e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse5.12146e-12
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.047
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15051
[0].acoustic.peak0.396232
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz240.427
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00050488
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.000363461
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.000509479
[0].mechanism.mean_error.mse.all4.63978e-07
[0].mechanism.mean_error.mse.inside4.56934e-07
[0].mechanism.mean_error.mse.outside4.64208e-07
[0].mechanism.mean_error.mae.all0.00054319
[0].mechanism.mean_error.mae.inside0.000549015
[0].mechanism.mean_error.mae.outside0.000543
[0].mechanism.mean_error.bias.all3.66174e-06
[0].mechanism.mean_error.bias.inside6.65671e-05
[0].mechanism.mean_error.bias.outside1.61617e-06
[0].mechanism.variance_error.mse.all1.42503e-11
[0].mechanism.variance_error.mse.inside5.74765e-11
[0].mechanism.variance_error.mse.outside1.28446e-11
[0].mechanism.variance_error.mae.all3.40545e-06
[0].mechanism.variance_error.mae.inside6.68312e-06
[0].mechanism.variance_error.mae.outside3.29887e-06
[0].mechanism.variance_error.bias.all3.40545e-06
[0].mechanism.variance_error.bias.inside6.68312e-06
[0].mechanism.variance_error.bias.outside3.29887e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate3.49453e-06
[0].mechanism.localized.integrated_variance_error2.85598e-08
[0].mechanism.localized.integrated_variance_relative_error0.00824007
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0989006
[0].mechanism.localized.centroid_error_s1.38778e-17
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all7.48655e-13
[0].mechanism.localized.error.mse.inside2.37712e-11
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all1.11562e-07
[0].mechanism.localized.error.mae.inside3.5423e-06
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all1.11562e-07
[0].mechanism.localized.error.bias.inside3.5423e-06
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse2.37712e-11
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse5.74765e-11
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.28446e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag1
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableTrue
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.027
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.149964
[1].acoustic.peak0.392485
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz236.053
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00050488
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.000363461
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.000509479
[1].mechanism.mean_error.mse.all4.63978e-07
[1].mechanism.mean_error.mse.inside4.56934e-07
[1].mechanism.mean_error.mse.outside4.64208e-07
[1].mechanism.mean_error.mae.all0.00054319
[1].mechanism.mean_error.mae.inside0.000549015
[1].mechanism.mean_error.mae.outside0.000543
[1].mechanism.mean_error.bias.all3.66174e-06
[1].mechanism.mean_error.bias.inside6.65671e-05
[1].mechanism.mean_error.bias.outside1.61617e-06
[1].mechanism.variance_error.mse.all1.42503e-11
[1].mechanism.variance_error.mse.inside5.74765e-11
[1].mechanism.variance_error.mse.outside1.28446e-11
[1].mechanism.variance_error.mae.all3.40545e-06
[1].mechanism.variance_error.mae.inside6.68312e-06
[1].mechanism.variance_error.mae.outside3.29887e-06
[1].mechanism.variance_error.bias.all3.40545e-06
[1].mechanism.variance_error.bias.inside6.68312e-06
[1].mechanism.variance_error.bias.outside3.29887e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate3.49453e-06
[1].mechanism.localized.integrated_variance_error2.85598e-08
[1].mechanism.localized.integrated_variance_relative_error0.00824007
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0989006
[1].mechanism.localized.centroid_error_s1.38778e-17
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all7.48655e-13
[1].mechanism.localized.error.mse.inside2.37712e-11
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all1.11562e-07
[1].mechanism.localized.error.mae.inside3.5423e-06
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all1.11562e-07
[1].mechanism.localized.error.bias.inside3.5423e-06
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse2.37712e-11
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse5.74765e-11
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse1.28446e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag1
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableTrue
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.049
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12530384571301947, 0.0004418372354548635, 0.04999331302927821, 0.025152541884417862, 0.024715245028746145, -0.012546858040502009, 0.012543969052535511, 0.0061785619379314954]
selected_unquantized.sigma2_raw0.000402081
selected_unquantized.sigma20.000402081
selected_unquantized.objective-14117.2
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14117.2
direct_rss1.64692
rss_difference-3.5083e-14
sigma2_floor1.03549e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1518
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1638
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12530384571301947, 0.0004418372354548635, 0.04999331302927821, 0.025152541884417862, 0.024715245028746145, -0.012546858040502009, 0.012543969052535511, 0.0061785619379314954]
top_candidates[0].sigma2_raw0.000402081
top_candidates[0].sigma20.000402081
top_candidates[0].objective-14117.2
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[191, 0]]
top_candidates[1].mean[0.12532815559291663, 0.0003952789182742638, 0.049970250960873305, 0.025127817149215078, 0.02473307171296439, -0.012555318967883089, 0.01258578673706022, 0.006224064339313894]
top_candidates[1].sigma2_raw0.000405795
top_candidates[1].sigma20.000405795
top_candidates[1].objective-14110.3
top_candidates[1].condition_number3.12101
top_candidates[1].objective_gap6.86606
top_candidates[1].edit_difference_from_selected.120.0.mean_mse4.04163e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.1218e-08
top_candidates[1].edit_difference_from_selected.140.0.mean_mse4.06726e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.12216e-08
top_candidates[2].q_index10
top_candidates[2].events[[188, 0]]
top_candidates[2].mean[0.12534190678342497, 0.0003934032189506981, 0.04997020427944056, 0.02513207520091001, 0.02474278772421668, -0.01255663621270926, 0.012579066333770424, 0.0062226757493996105]
top_candidates[2].sigma2_raw0.000405577
top_candidates[2].sigma20.000405577
top_candidates[2].objective-14109.7
top_candidates[2].condition_number3.1133
top_candidates[2].objective_gap7.41323
top_candidates[2].edit_difference_from_selected.120.0.mean_mse4.38039e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.05425e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse4.39997e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.05485e-08
top_candidates[3].q_index10
top_candidates[3].events[[72, 0], [193, 1]]
top_candidates[3].mean[0.1253124743593392, 0.00044959836304013707, 0.050014084192517835, 0.025153988779572353, 0.02473659020788853, -0.012560415779852565, 0.01255919205584732, 0.006161664765939962]
top_candidates[3].sigma2_raw0.000399877
top_candidates[3].sigma20.000399877
top_candidates[3].objective-14107.6
top_candidates[3].condition_number3.11122
top_candidates[3].objective_gap9.5692
top_candidates[3].edit_difference_from_selected.120.0.mean_mse8.48947e-10
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.49922e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse8.54855e-10
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.45632e-10
top_candidates[4].q_index10
top_candidates[4].events[[193, 1], [258, 0]]
top_candidates[4].mean[0.12531760852134174, 0.0004129918958701632, 0.0500207218243356, 0.025148048747481184, 0.024735385054991444, -0.012518088910352236, 0.012518071506304622, 0.0062101078632471945]
top_candidates[4].sigma2_raw0.000400214
top_candidates[4].sigma20.000400214
top_candidates[4].objective-14107.4
top_candidates[4].condition_number3.11842
top_candidates[4].objective_gap9.72483
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.36241e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.4821e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.35452e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.54301e-10
top_candidates[5].q_index10
top_candidates[5].events[[193, 0]]
top_candidates[5].mean[0.12532758950692915, 0.0003764856685701638, 0.050010177362605705, 0.025141411579924514, 0.024735675081846417, -0.012551844180375799, 0.01257457123353416, 0.006198520311889695]
top_candidates[5].sigma2_raw0.000409904
top_candidates[5].sigma20.000409904
top_candidates[5].objective-14107.3
top_candidates[5].condition_number3.11859
top_candidates[5].objective_gap9.86524
top_candidates[5].edit_difference_from_selected.120.0.mean_mse3.50554e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.16268e-08
top_candidates[5].edit_difference_from_selected.140.0.mean_mse3.51044e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.16369e-08
top_candidates[6].q_index10
top_candidates[6].events[[193, 1], [505, 0]]
top_candidates[6].mean[0.12528701224135844, 0.00045584280920324443, 0.049976740270337765, 0.025135896804934783, 0.024737474229713317, -0.01257505970487944, 0.012555584842018797, 0.006220222182214255]
top_candidates[6].sigma2_raw0.000398487
top_candidates[6].sigma20.000398487
top_candidates[6].objective-14107.3
top_candidates[6].condition_number3.11499
top_candidates[6].objective_gap9.90828
top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.11169e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.27454e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.10329e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.27822e-09
top_candidates[7].q_index10
top_candidates[7].events[[193, 1], [276, 0]]
top_candidates[7].mean[0.12529485090362827, 0.0004403648848038498, 0.04998115005642745, 0.025145327256518163, 0.024700625879314014, -0.012558227108338, 0.012533805567432834, 0.006163456183579735]
top_candidates[7].sigma2_raw0.000400509
top_candidates[7].sigma20.000400509
top_candidates[7].objective-14107.1
top_candidates[7].condition_number3.12976
top_candidates[7].objective_gap10.0765
top_candidates[7].edit_difference_from_selected.120.0.mean_mse4.79749e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.47985e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse4.78214e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.54112e-10
top_candidates[8].q_index10
top_candidates[8].events[[193, 1], [502, 0]]
top_candidates[8].mean[0.1252985685029395, 0.00044698705480472134, 0.04998878382789867, 0.02513480882298368, 0.024745466308544087, -0.012565027533639509, 0.012561887951855442, 0.006196772940110436]
top_candidates[8].sigma2_raw0.000399065
top_candidates[8].sigma20.000399065
top_candidates[8].objective-14107
top_candidates[8].condition_number3.13973
top_candidates[8].objective_gap10.1671
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.15082e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.27462e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.14598e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.27629e-09
top_candidates[9].q_index10
top_candidates[9].events[[193, 1], [402, 0]]
top_candidates[9].mean[0.1253361915469323, 0.0004502283657058276, 0.05002442661824594, 0.02518455774958929, 0.02472967675216865, -0.012508902937995937, 0.01254059271435899, 0.006205261139450896]
top_candidates[9].sigma2_raw0.000400577
top_candidates[9].sigma20.000400577
top_candidates[9].objective-14107
top_candidates[9].condition_number3.13106
top_candidates[9].objective_gap10.1711
top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.75737e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.47899e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.74636e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.52006e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13225.3
mean_gain_prepass.rss2.3634
mean_gain_prepass.sigma20.000577002
mean_gain_prepass.direct_rss2.3634
mean_gain_prepass.rss_difference6.4837e-14
mean_gain_prepass.direct_objective-13225.3
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03549e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14117.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-14117.2
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-14117.2
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 1]]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12530384571301947, 0.0004418372354548635, 0.04999331302927821, 0.025152541884417862, 0.024715245028746145, -0.012546858040502009, 0.012543969052535511, 0.0061785619379314954]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.000402081
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.000402081
branch_diagnostics[0].diagnostics.selected_unquantized.objective-14117.2
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.109
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-14117.2
branch_diagnostics[0].diagnostics.direct_rss1.64692
branch_diagnostics[0].diagnostics.rss_difference-3.5083e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.03549e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
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branch_diagnostics[1].diagnostics.candidate_counts[6].one1737
branch_diagnostics[1].diagnostics.candidate_counts[6].two1653
branch_diagnostics[1].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[1].diagnostics.candidate_counts[7].zero1
branch_diagnostics[1].diagnostics.candidate_counts[7].one1737
branch_diagnostics[1].diagnostics.candidate_counts[7].two1653
branch_diagnostics[1].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[1].diagnostics.candidate_counts[8].zero1
branch_diagnostics[1].diagnostics.candidate_counts[8].one1737
branch_diagnostics[1].diagnostics.candidate_counts[8].two1653
branch_diagnostics[1].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[1].diagnostics.candidate_counts[9].zero1
branch_diagnostics[1].diagnostics.candidate_counts[9].one1737
branch_diagnostics[1].diagnostics.candidate_counts[9].two1653
branch_diagnostics[1].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
branch_diagnostics[1].diagnostics.candidate_counts[10].one1737
branch_diagnostics[1].diagnostics.candidate_counts[10].two1590
branch_diagnostics[1].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[1].diagnostics.candidate_counts[11].zero1
branch_diagnostics[1].diagnostics.candidate_counts[11].one1737
branch_diagnostics[1].diagnostics.candidate_counts[11].two1590
branch_diagnostics[1].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[1].diagnostics.candidate_counts[12].zero1
branch_diagnostics[1].diagnostics.candidate_counts[12].one1737
branch_diagnostics[1].diagnostics.candidate_counts[12].two1653
branch_diagnostics[1].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[1].diagnostics.candidate_counts[13].zero1
branch_diagnostics[1].diagnostics.candidate_counts[13].one1737
branch_diagnostics[1].diagnostics.candidate_counts[13].two1653
branch_diagnostics[1].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[1].diagnostics.candidate_counts[14].zero1
branch_diagnostics[1].diagnostics.candidate_counts[14].one1737
branch_diagnostics[1].diagnostics.candidate_counts[14].two1653
branch_diagnostics[1].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[1].diagnostics.candidate_counts[15].zero1
branch_diagnostics[1].diagnostics.candidate_counts[15].one1737
branch_diagnostics[1].diagnostics.candidate_counts[15].two1653
branch_diagnostics[1].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[1].diagnostics.candidate_counts[16].zero1
branch_diagnostics[1].diagnostics.candidate_counts[16].one1737
branch_diagnostics[1].diagnostics.candidate_counts[16].two1653
branch_diagnostics[1].diagnostics.candidate_counts[17].q_index17
branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
branch_diagnostics[1].diagnostics.candidate_counts[17].one1737
branch_diagnostics[1].diagnostics.candidate_counts[17].two1653
branch_diagnostics[1].diagnostics.candidate_counts[18].q_index18
branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
branch_diagnostics[1].diagnostics.candidate_counts[18].one1737
branch_diagnostics[1].diagnostics.candidate_counts[18].two1590
branch_diagnostics[1].diagnostics.candidate_counts[19].q_index19
branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
branch_diagnostics[1].diagnostics.candidate_counts[19].one1737
branch_diagnostics[1].diagnostics.candidate_counts[19].two1590
branch_diagnostics[1].diagnostics.candidate_counts[20].q_index20
branch_diagnostics[1].diagnostics.candidate_counts[20].zero1
branch_diagnostics[1].diagnostics.candidate_counts[20].one1737
branch_diagnostics[1].diagnostics.candidate_counts[20].two1590
branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
branch_diagnostics[1].diagnostics.candidate_counts[21].one1737
branch_diagnostics[1].diagnostics.candidate_counts[21].two1653
branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1653
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1653
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1653
branch_diagnostics[1].diagnostics.top_candidates[0].q_index10
branch_diagnostics[1].diagnostics.top_candidates[0].events[[193, 0], [578, 1]]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.10324925204464783, 0.000412318988505173, 0.04111872939245562, 0.020736050054365122, 0.020331586930306334, -0.010347569056301171, 0.010291548814883913, 0.005168822340286656]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000534861
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000534861
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13456.1
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number3.08206
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index10
branch_diagnostics[1].diagnostics.top_candidates[1].events[[193, 0], [578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.10351108398622856, 0.0003911228340836896, 0.0412607717482595, 0.020800260413813554, 0.02040390735533655, -0.010369305594409914, 0.010343539951468007, 0.005174334947245719]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000549552
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000549552
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13456
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number3.07078
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap0.078435
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.30001e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.04896e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.29136e-08
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse4.0468e-08
branch_diagnostics[1].diagnostics.top_candidates[2].q_index10
branch_diagnostics[1].diagnostics.top_candidates[2].events[[193, 0], [575, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.10350986198026453, 0.00041725800296880765, 0.0412414543653268, 0.020809925666160092, 0.020397072598049758, -0.010365360244615245, 0.010344473385698208, 0.005182660444828949]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000550407
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000550407
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13454.8
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number3.07935
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap1.31379
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse6.90001e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse4.25346e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse6.89088e-08
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse4.24408e-08
branch_diagnostics[1].diagnostics.top_candidates[3].q_index10
branch_diagnostics[1].diagnostics.top_candidates[3].events[[193, 0], [572, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.10352898952793058, 0.00043860772887519846, 0.04122683650302992, 0.020825675010959423, 0.02039697677637469, -0.010361029706053536, 0.010351982645659107, 0.005188562620551204]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000551515
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000551515
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13451.5
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number3.08462
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap4.582
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.70586e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse4.78909e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.69428e-08
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse4.77558e-08
branch_diagnostics[1].diagnostics.top_candidates[4].q_index10
branch_diagnostics[1].diagnostics.top_candidates[4].events[[193, 0], [575, 1]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.10324535448171042, 0.0004487078580507034, 0.04111249593994692, 0.02078005476452642, 0.020338402668016623, -0.010312211401829426, 0.010303514488812433, 0.005196895109300291]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000536352
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000536352
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13451.4
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number3.08787
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap4.67231
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse3.95021e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse8.11845e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse3.94901e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse8.09192e-09
branch_diagnostics[1].diagnostics.top_candidates[5].q_index10
branch_diagnostics[1].diagnostics.top_candidates[5].events[[193, 0], [569, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.10356007849530789, 0.0004385279736304482, 0.04121149533216444, 0.020849646926037423, 0.020408653711361104, -0.010361395661876983, 0.010357320678642605, 0.005178721833141391]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000552694
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000552694
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13445.9
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number3.06995
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.2076
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse9.30511e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse5.48812e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse9.29026e-08
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse5.47668e-08
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 0], [577, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10352098749283128, 0.0004843548276876119, 0.04117946945945329, 0.020716442731549357, 0.02037444200493746, -0.010404354270105868, 0.010329851947606127, 0.005159220086917677]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.00055244
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.00055244
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13445.2
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.12033
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap10.8472
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse6.41834e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse4.37742e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse6.41495e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse4.30806e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10382869580847938, 0.0004157470740385307, 0.04129806587571284, 0.02086573710677958, 0.020429216435709444, -0.010409795824877778, 0.010389274109163805, 0.005190466934358318]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000566389
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000566389
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13445.1
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.0838
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap11.0107
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.93111e-07
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse7.29288e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.92694e-07
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse7.28651e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[578, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10349796609410672, 0.00027542594377156625, 0.04121490727447691, 0.020795955887573637, 0.020404152017954653, -0.010341895122343544, 0.010364690930992569, 0.005211705355279617]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000562
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000562
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13444
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.11535
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap12.0244
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse7.61215e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse4.1665e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse7.60176e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse4.16408e-08
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10382862792584088, 0.0004751674462120787, 0.04130104667987753, 0.02087037759207652, 0.02041985634137054, -0.010406348550993906, 0.01036752001089643, 0.005170475145344327]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.0005586
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.0005586
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13443.8
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.07299
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap12.2451
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse2.92941e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse9.74388e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse2.92569e-07
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse9.7348e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag1
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12528521229433123, 0.00042838858888304864, 0.04997955312625279, 0.025157931694606284, 0.024706641840396087, -0.01254376663116173, 0.012534985553573685, 0.006190983170399615]
selected_unquantized.sigma2_raw0.000403296
selected_unquantized.sigma20.000403296
selected_unquantized.objective-14118.2
selected_unquantized.condition_number3.12953
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14118.2
direct_rss1.6519
rss_difference-5.21805e-14
sigma2_floor1.03549e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3718
candidate_counts[0].q_index1
candidate_counts[0].zero0
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index2
candidate_counts[1].zero0
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index3
candidate_counts[2].zero0
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index4
candidate_counts[3].zero0
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index5
candidate_counts[4].zero0
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index6
candidate_counts[5].zero0
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index7
candidate_counts[6].zero0
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index8
candidate_counts[7].zero0
candidate_counts[7].one1737
candidate_counts[7].two1518
candidate_counts[8].q_index9
candidate_counts[8].zero0
candidate_counts[8].one1737
candidate_counts[8].two1518
candidate_counts[9].q_index10
candidate_counts[9].zero0
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index11
candidate_counts[10].zero0
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index12
candidate_counts[11].zero0
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index13
candidate_counts[12].zero0
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index14
candidate_counts[13].zero0
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index15
candidate_counts[14].zero0
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index16
candidate_counts[15].zero0
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index17
candidate_counts[16].zero0
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index18
candidate_counts[17].zero0
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index19
candidate_counts[18].zero0
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index20
candidate_counts[19].zero0
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index21
candidate_counts[20].zero0
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index22
candidate_counts[21].zero0
candidate_counts[21].one1737
candidate_counts[21].two1626
candidate_counts[22].q_index23
candidate_counts[22].zero0
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index24
candidate_counts[23].zero0
candidate_counts[23].one1737
candidate_counts[23].two1638
top_candidates[0].coupling_flag1
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12528521229433123, 0.00042838858888304864, 0.04997955312625279, 0.025157931694606284, 0.024706641840396087, -0.01254376663116173, 0.012534985553573685, 0.006190983170399615]
top_candidates[0].sigma2_raw0.000403296
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top_candidates[0].objective-14118.2
top_candidates[0].condition_number3.12953
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
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top_candidates[1].events[[190, 1]]
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top_candidates[1].edit_difference_from_selected.120.0.variance_mse4.64748e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse3.25044e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse5.40977e-09
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top_candidates[2].events[[72, 0], [193, 1]]
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top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.25976e-09
top_candidates[3].coupling_flag1
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top_candidates[4].coupling_flag1
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top_candidates[5].edit_difference_from_selected.140.0.mean_mse7.55928e-10
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top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.46693e-09
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top_candidates[7].edit_difference_from_selected.140.0.mean_mse4.64608e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.91824e-10
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.5698e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.63741e-10
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top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.2588e-08
top_candidates[9].edit_difference_from_selected.140.0.mean_mse6.7459e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.35302e-08
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
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mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13225.3
mean_gain_prepass.rss2.3634
mean_gain_prepass.sigma20.000577002
mean_gain_prepass.direct_rss2.3634
mean_gain_prepass.rss_difference6.4837e-14
mean_gain_prepass.direct_objective-13225.3
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03549e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag1
gain_penalty_nats11.624
final_objective-14117.5
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.10323966990493542, 0.00042924536523862393, 0.04101167826445836, 0.020716188443652535, 0.020315063256320456, -0.010369459843833124, 0.010277518520584852, 0.0051955370852899896]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000531142
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000531142
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13463.3
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number3.12545
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap6.58754
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse6.74752e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.02016e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse6.76486e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse8.57413e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index10
branch_diagnostics[3].diagnostics.top_candidates[4].events[[185, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.10325218015312299, 0.00041868028895608817, 0.04101712315771532, 0.020716070901616764, 0.02031774557923857, -0.010362966204477936, 0.010270871477713404, 0.005195244350893639]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000531522
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000531522
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13461.8
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number3.11787
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap8.0513
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse7.904e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse1.21273e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse7.92372e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.08488e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index10
branch_diagnostics[3].diagnostics.top_candidates[5].events[[191, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.10322301281917286, 0.00042673468927334994, 0.041015443467825576, 0.020715119328550188, 0.020308901929049814, -0.010367329120718409, 0.010281701861428648, 0.005196309169559315]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000531543
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000531543
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13461.8
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number3.14004
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap8.13414
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse6.14782e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.04924e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse6.1678e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse8.62073e-09
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index10
branch_diagnostics[3].diagnostics.top_candidates[6].events[[190, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.10324599804330964, 0.00040840083412312914, 0.041037700185654, 0.02070033941288146, 0.020312580545134695, -0.010359775858579053, 0.01028746862950975, 0.005167893575108212]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000536326
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000536326
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13460.7
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number3.09424
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap9.17278
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse7.49777e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.65343e-08
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse7.51808e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.42993e-08
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index10
branch_diagnostics[3].diagnostics.top_candidates[7].events[[192, 1], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.10325921804930561, 0.000427309749656044, 0.041061572953211466, 0.02067896791345864, 0.020302671760411967, -0.01035856304177419, 0.010296372698362949, 0.005163009421398228]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000535179
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000535179
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13460
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number3.06439
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap9.84079
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse7.64128e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.75604e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse7.65268e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.55546e-08
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index10
branch_diagnostics[3].diagnostics.top_candidates[8].events[[182, 0], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.10326289713449978, 0.0003990523513318737, 0.0410300173448739, 0.02071657362017606, 0.020318662348514576, -0.010347052151454993, 0.010263007472616116, 0.005198506130543755]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000532489
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000532489
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13458.1
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number3.12336
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap11.7754
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.05211e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.58448e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.05463e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.49994e-08
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index10
branch_diagnostics[3].diagnostics.top_candidates[9].events[[198, 1], [578, 1]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.10316267949760308, 0.0003943038869969938, 0.04099305734395247, 0.020750041883257075, 0.02028720600238346, -0.01033919305507679, 0.010267201729396436, 0.005162483045699066]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.00053579
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.00053579
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13457.7
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number3.16524
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap12.176
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.09474e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse7.52466e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.09916e-08
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.12205e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14128.8
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14117.2
best_by_coupling_flag.0.objective_with_gain_penalty-14117.2
best_by_coupling_flag.0.objective_without_coupling_penalty-14117.2
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14117.2
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14129.8
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14118.2
best_by_coupling_flag.1.objective_with_gain_penalty-14118.2
best_by_coupling_flag.1.objective_without_coupling_penalty-14118.2
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14117.5
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty-1.01516
coupling_score_gap_eta1_minus_eta0_with_new_penalty-0.322011
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C4 乗算混合 / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149014
[0].acoustic.peak0.37371
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz211.767
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz120.074
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.146473
[1].acoustic.peak0.344191
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.3
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.135
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.155782
[0].acoustic.peak0.396213
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz209.804
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.915
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151218
[0].acoustic.peak0.39069
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz216.105
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00206538
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200077
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148193
[0].mechanism.mean_error.mse.all1.0036e-06
[0].mechanism.mean_error.mse.inside9.42754e-07
[0].mechanism.mean_error.mse.outside1.00558e-06
[0].mechanism.mean_error.mae.all0.000805406
[0].mechanism.mean_error.mae.inside0.000776137
[0].mechanism.mean_error.mae.outside0.000806358
[0].mechanism.mean_error.bias.all3.06856e-06
[0].mechanism.mean_error.bias.inside-5.51374e-05
[0].mechanism.mean_error.bias.outside4.96132e-06
[0].mechanism.variance_error.mse.all3.11845e-09
[0].mechanism.variance_error.mse.inside9.81606e-08
[0].mechanism.variance_error.mse.outside2.7843e-11
[0].mechanism.variance_error.mae.all1.12404e-05
[0].mechanism.variance_error.mae.inside0.000207582
[0].mechanism.variance_error.mae.outside4.85575e-06
[0].mechanism.variance_error.bias.all-1.65163e-06
[0].mechanism.variance_error.bias.inside9.68811e-05
[0].mechanism.variance_error.bias.outside-4.85575e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate4.51085e-06
[0].mechanism.localized.integrated_variance_error8.20805e-07
[0].mechanism.localized.integrated_variance_relative_error0.222438
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.09285e-09
[0].mechanism.localized.error.mse.inside9.82038e-08
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.44348e-06
[0].mechanism.localized.error.mae.inside0.000204593
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.20627e-06
[0].mechanism.localized.error.bias.inside0.000101805
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse9.82038e-08
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse9.81606e-08
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.7843e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.934
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150316
[1].acoustic.peak0.428952
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz215.101
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00206538
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200077
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148193
[1].mechanism.mean_error.mse.all1.0036e-06
[1].mechanism.mean_error.mse.inside9.42754e-07
[1].mechanism.mean_error.mse.outside1.00558e-06
[1].mechanism.mean_error.mae.all0.000805406
[1].mechanism.mean_error.mae.inside0.000776137
[1].mechanism.mean_error.mae.outside0.000806358
[1].mechanism.mean_error.bias.all3.06856e-06
[1].mechanism.mean_error.bias.inside-5.51374e-05
[1].mechanism.mean_error.bias.outside4.96132e-06
[1].mechanism.variance_error.mse.all3.11845e-09
[1].mechanism.variance_error.mse.inside9.81606e-08
[1].mechanism.variance_error.mse.outside2.7843e-11
[1].mechanism.variance_error.mae.all1.12404e-05
[1].mechanism.variance_error.mae.inside0.000207582
[1].mechanism.variance_error.mae.outside4.85575e-06
[1].mechanism.variance_error.bias.all-1.65163e-06
[1].mechanism.variance_error.bias.inside9.68811e-05
[1].mechanism.variance_error.bias.outside-4.85575e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate4.51085e-06
[1].mechanism.localized.integrated_variance_error8.20805e-07
[1].mechanism.localized.integrated_variance_relative_error0.222438
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.09285e-09
[1].mechanism.localized.error.mse.inside9.82038e-08
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.44348e-06
[1].mechanism.localized.error.mae.inside0.000204593
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.20627e-06
[1].mechanism.localized.error.bias.inside0.000101805
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse9.82038e-08
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse9.81606e-08
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.7843e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.946
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.151218
[0].acoustic.peak0.39069
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz216.105
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00206538
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200077
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148193
[0].mechanism.mean_error.mse.all1.0036e-06
[0].mechanism.mean_error.mse.inside9.42754e-07
[0].mechanism.mean_error.mse.outside1.00558e-06
[0].mechanism.mean_error.mae.all0.000805406
[0].mechanism.mean_error.mae.inside0.000776137
[0].mechanism.mean_error.mae.outside0.000806358
[0].mechanism.mean_error.bias.all3.06856e-06
[0].mechanism.mean_error.bias.inside-5.51374e-05
[0].mechanism.mean_error.bias.outside4.96132e-06
[0].mechanism.variance_error.mse.all3.11845e-09
[0].mechanism.variance_error.mse.inside9.81606e-08
[0].mechanism.variance_error.mse.outside2.7843e-11
[0].mechanism.variance_error.mae.all1.12404e-05
[0].mechanism.variance_error.mae.inside0.000207582
[0].mechanism.variance_error.mae.outside4.85575e-06
[0].mechanism.variance_error.bias.all-1.65163e-06
[0].mechanism.variance_error.bias.inside9.68811e-05
[0].mechanism.variance_error.bias.outside-4.85575e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.69004e-06
[0].mechanism.localized.integrated_variance_estimate4.51085e-06
[0].mechanism.localized.integrated_variance_error8.20805e-07
[0].mechanism.localized.integrated_variance_relative_error0.222438
[0].mechanism.localized.centroid_truth_s0.0988838
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000483792
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.09285e-09
[0].mechanism.localized.error.mse.inside9.82038e-08
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all6.44348e-06
[0].mechanism.localized.error.mae.inside0.000204593
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all3.20627e-06
[0].mechanism.localized.error.bias.inside0.000101805
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse9.82038e-08
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse9.81606e-08
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.7843e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.934
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150316
[1].acoustic.peak0.428952
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz215.101
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00206538
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0200077
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00148193
[1].mechanism.mean_error.mse.all1.0036e-06
[1].mechanism.mean_error.mse.inside9.42754e-07
[1].mechanism.mean_error.mse.outside1.00558e-06
[1].mechanism.mean_error.mae.all0.000805406
[1].mechanism.mean_error.mae.inside0.000776137
[1].mechanism.mean_error.mae.outside0.000806358
[1].mechanism.mean_error.bias.all3.06856e-06
[1].mechanism.mean_error.bias.inside-5.51374e-05
[1].mechanism.mean_error.bias.outside4.96132e-06
[1].mechanism.variance_error.mse.all3.11845e-09
[1].mechanism.variance_error.mse.inside9.81606e-08
[1].mechanism.variance_error.mse.outside2.7843e-11
[1].mechanism.variance_error.mae.all1.12404e-05
[1].mechanism.variance_error.mae.inside0.000207582
[1].mechanism.variance_error.mae.outside4.85575e-06
[1].mechanism.variance_error.bias.all-1.65163e-06
[1].mechanism.variance_error.bias.inside9.68811e-05
[1].mechanism.variance_error.bias.outside-4.85575e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.69004e-06
[1].mechanism.localized.integrated_variance_estimate4.51085e-06
[1].mechanism.localized.integrated_variance_error8.20805e-07
[1].mechanism.localized.integrated_variance_relative_error0.222438
[1].mechanism.localized.centroid_truth_s0.0988838
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000483792
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.09285e-09
[1].mechanism.localized.error.mse.inside9.82038e-08
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all6.44348e-06
[1].mechanism.localized.error.mae.inside0.000204593
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all3.20627e-06
[1].mechanism.localized.error.bias.inside0.000101805
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse9.82038e-08
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.02427e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse9.81606e-08
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.7843e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.946
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.140958
[0].acoustic.peak0.324988
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz232.086
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.829
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.138184
[1].acoustic.peak0.330873
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz228.444
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames49
[1].output_f0.positive_median_hz140.149
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.149997
[0].acoustic.peak0.366111
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz223.863
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.875
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150455
[0].acoustic.peak0.415783
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz239.558
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00211576
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0223175
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00145883
[0].mechanism.mean_error.mse.all1.00028e-06
[0].mechanism.mean_error.mse.inside1.13337e-06
[0].mechanism.mean_error.mse.outside9.95948e-07
[0].mechanism.mean_error.mae.all0.000803751
[0].mechanism.mean_error.mae.inside0.000875949
[0].mechanism.mean_error.mae.outside0.000801403
[0].mechanism.mean_error.bias.all3.50401e-06
[0].mechanism.mean_error.bias.inside0.000163638
[0].mechanism.mean_error.bias.outside-1.70326e-06
[0].mechanism.variance_error.mse.all3.92057e-09
[0].mechanism.variance_error.mse.inside1.23629e-07
[0].mechanism.variance_error.mse.outside2.78707e-11
[0].mechanism.variance_error.mae.all1.18309e-05
[0].mechanism.variance_error.mae.inside0.000226218
[0].mechanism.variance_error.mae.outside4.85935e-06
[0].mechanism.variance_error.bias.all-7.70463e-07
[0].mechanism.variance_error.bias.inside0.000124971
[0].mechanism.variance_error.bias.outside-4.85935e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate4.51085e-06
[0].mechanism.localized.integrated_variance_error1.04488e-06
[0].mechanism.localized.integrated_variance_relative_error0.301468
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.8993e-09
[0].mechanism.localized.error.mse.inside1.2381e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.04524e-06
[0].mechanism.localized.error.mae.inside0.0002237
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.08156e-06
[0].mechanism.localized.error.bias.inside0.000129597
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.2381e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.23629e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.78707e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.001
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151323
[1].acoustic.peak0.39602
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz239.182
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00211576
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0223175
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00145883
[1].mechanism.mean_error.mse.all1.00028e-06
[1].mechanism.mean_error.mse.inside1.13337e-06
[1].mechanism.mean_error.mse.outside9.95948e-07
[1].mechanism.mean_error.mae.all0.000803751
[1].mechanism.mean_error.mae.inside0.000875949
[1].mechanism.mean_error.mae.outside0.000801403
[1].mechanism.mean_error.bias.all3.50401e-06
[1].mechanism.mean_error.bias.inside0.000163638
[1].mechanism.mean_error.bias.outside-1.70326e-06
[1].mechanism.variance_error.mse.all3.92057e-09
[1].mechanism.variance_error.mse.inside1.23629e-07
[1].mechanism.variance_error.mse.outside2.78707e-11
[1].mechanism.variance_error.mae.all1.18309e-05
[1].mechanism.variance_error.mae.inside0.000226218
[1].mechanism.variance_error.mae.outside4.85935e-06
[1].mechanism.variance_error.bias.all-7.70463e-07
[1].mechanism.variance_error.bias.inside0.000124971
[1].mechanism.variance_error.bias.outside-4.85935e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate4.51085e-06
[1].mechanism.localized.integrated_variance_error1.04488e-06
[1].mechanism.localized.integrated_variance_relative_error0.301468
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.8993e-09
[1].mechanism.localized.error.mse.inside1.2381e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.04524e-06
[1].mechanism.localized.error.mae.inside0.0002237
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.08156e-06
[1].mechanism.localized.error.bias.inside0.000129597
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.2381e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.23629e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.78707e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.048
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.150455
[0].acoustic.peak0.415783
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz239.558
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition4
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00211576
[0].mechanism.kl_truth_to_model_nats_per_sample.inside0.0223175
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00145883
[0].mechanism.mean_error.mse.all1.00028e-06
[0].mechanism.mean_error.mse.inside1.13337e-06
[0].mechanism.mean_error.mse.outside9.95948e-07
[0].mechanism.mean_error.mae.all0.000803751
[0].mechanism.mean_error.mae.inside0.000875949
[0].mechanism.mean_error.mae.outside0.000801403
[0].mechanism.mean_error.bias.all3.50401e-06
[0].mechanism.mean_error.bias.inside0.000163638
[0].mechanism.mean_error.bias.outside-1.70326e-06
[0].mechanism.variance_error.mse.all3.92057e-09
[0].mechanism.variance_error.mse.inside1.23629e-07
[0].mechanism.variance_error.mse.outside2.78707e-11
[0].mechanism.variance_error.mae.all1.18309e-05
[0].mechanism.variance_error.mae.inside0.000226218
[0].mechanism.variance_error.mae.outside4.85935e-06
[0].mechanism.variance_error.bias.all-7.70463e-07
[0].mechanism.variance_error.bias.inside0.000124971
[0].mechanism.variance_error.bias.outside-4.85935e-06
[0].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[0].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[0].mechanism.q_error.vector_l25.55112e-17
[0].mechanism.q_error.radius_absolute_error1.11022e-16
[0].mechanism.q_error.phase_absolute_error_rad0
[0].mechanism.localized.integrated_variance_truth3.46597e-06
[0].mechanism.localized.integrated_variance_estimate4.51085e-06
[0].mechanism.localized.integrated_variance_error1.04488e-06
[0].mechanism.localized.integrated_variance_relative_error0.301468
[0].mechanism.localized.centroid_truth_s0.0989006
[0].mechanism.localized.centroid_estimate_s0.0984
[0].mechanism.localized.centroid_error_s-0.000500617
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction0
[0].mechanism.localized.preonset_integrated_variance0
[0].mechanism.localized.true_support_fraction0.0314941
[0].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[0].mechanism.localized.error.mse.all3.8993e-09
[0].mechanism.localized.error.mse.inside1.2381e-07
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all7.04524e-06
[0].mechanism.localized.error.mae.inside0.0002237
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all4.08156e-06
[0].mechanism.localized.error.bias.inside0.000129597
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth1
[0].mechanism.event_counts.estimate1
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch.event_inside_interaction_mse1.2381e-07
[0].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[0].mechanism.c4_mismatch.event_inside_total_variance_mse1.23629e-07
[0].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.78707e-11
[0].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[0].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleTrue
[0].mechanism.coupling_selection_nonidentifiableFalse
[0].mechanism.coupling_truth_if_identifiable1
[0].mechanism.coupling_correct_if_identifiableFalse
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.001
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151323
[1].acoustic.peak0.39602
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz239.182
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition4
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00211576
[1].mechanism.kl_truth_to_model_nats_per_sample.inside0.0223175
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00145883
[1].mechanism.mean_error.mse.all1.00028e-06
[1].mechanism.mean_error.mse.inside1.13337e-06
[1].mechanism.mean_error.mse.outside9.95948e-07
[1].mechanism.mean_error.mae.all0.000803751
[1].mechanism.mean_error.mae.inside0.000875949
[1].mechanism.mean_error.mae.outside0.000801403
[1].mechanism.mean_error.bias.all3.50401e-06
[1].mechanism.mean_error.bias.inside0.000163638
[1].mechanism.mean_error.bias.outside-1.70326e-06
[1].mechanism.variance_error.mse.all3.92057e-09
[1].mechanism.variance_error.mse.inside1.23629e-07
[1].mechanism.variance_error.mse.outside2.78707e-11
[1].mechanism.variance_error.mae.all1.18309e-05
[1].mechanism.variance_error.mae.inside0.000226218
[1].mechanism.variance_error.mae.outside4.85935e-06
[1].mechanism.variance_error.bias.all-7.70463e-07
[1].mechanism.variance_error.bias.inside0.000124971
[1].mechanism.variance_error.bias.outside-4.85935e-06
[1].mechanism.q_error.truth[0.42426406871192845, 0.42426406871192845]
[1].mechanism.q_error.estimate[0.4242640687119285, 0.42426406871192845]
[1].mechanism.q_error.vector_l25.55112e-17
[1].mechanism.q_error.radius_absolute_error1.11022e-16
[1].mechanism.q_error.phase_absolute_error_rad0
[1].mechanism.localized.integrated_variance_truth3.46597e-06
[1].mechanism.localized.integrated_variance_estimate4.51085e-06
[1].mechanism.localized.integrated_variance_error1.04488e-06
[1].mechanism.localized.integrated_variance_relative_error0.301468
[1].mechanism.localized.centroid_truth_s0.0989006
[1].mechanism.localized.centroid_estimate_s0.0984
[1].mechanism.localized.centroid_error_s-0.000500617
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction0
[1].mechanism.localized.preonset_integrated_variance0
[1].mechanism.localized.true_support_fraction0.0314941
[1].mechanism.localized.estimated_nonzero_support_fraction0.0310059
[1].mechanism.localized.error.mse.all3.8993e-09
[1].mechanism.localized.error.mse.inside1.2381e-07
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all7.04524e-06
[1].mechanism.localized.error.mae.inside0.0002237
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all4.08156e-06
[1].mechanism.localized.error.bias.inside0.000129597
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth1
[1].mechanism.event_counts.estimate1
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch.event_inside_interaction_mse1.2381e-07
[1].mechanism.c4_mismatch.event_inside_true_interaction_mean_square1.29083e-07
[1].mechanism.c4_mismatch.event_inside_total_variance_mse1.23629e-07
[1].mechanism.c4_mismatch.event_outside_periodic_variance_mse2.78707e-11
[1].mechanism.c4_mismatch.event_outside_q_vector_l25.55112e-17
[1].mechanism.c4_mismatch.interaction_referencetruth sigma^2 * 4g; interaction estimate = local_hat - reference
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleTrue
[1].mechanism.coupling_selection_nonidentifiableFalse
[1].mechanism.coupling_truth_if_identifiable1
[1].mechanism.coupling_correct_if_identifiableFalse
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.048
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12499703533183633, -0.00027017597698448387, 0.050887427516900806, 0.02503322626486512, 0.025526719655990803, -0.012375535947680347, 0.013168638047186638, 0.006861300547986814]
selected_unquantized.sigma2_raw0.000395145
selected_unquantized.sigma20.000395145
selected_unquantized.objective-14152.8
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14152.8
direct_rss1.61851
rss_difference-9.99201e-15
sigma2_floor1.03468e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12499703533183633, -0.00027017597698448387, 0.050887427516900806, 0.02503322626486512, 0.025526719655990803, -0.012375535947680347, 0.013168638047186638, 0.006861300547986814]
top_candidates[0].sigma2_raw0.000395145
top_candidates[0].sigma20.000395145
top_candidates[0].objective-14152.8
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index10
top_candidates[1].events[[193, 1], [375, 0]]
top_candidates[1].mean[0.1250244640672539, -0.00028903119625928354, 0.050912448188311935, 0.025012327809371165, 0.025534879706843983, -0.012404468443960447, 0.01316821476851983, 0.006832397082332397]
top_candidates[1].sigma2_raw0.0003931
top_candidates[1].sigma20.0003931
top_candidates[1].objective-14144.9
top_candidates[1].condition_number3.12651
top_candidates[1].objective_gap7.88389
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.92304e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.24417e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.92429e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.2275e-10
top_candidates[2].q_index10
top_candidates[2].events[[188, 0]]
top_candidates[2].mean[0.1250189343218908, -0.00027682604122875867, 0.05082617993729433, 0.025021551962483537, 0.025502147576724525, -0.012393597808423465, 0.01310027255902691, 0.006879934371923448]
top_candidates[2].sigma2_raw0.000398781
top_candidates[2].sigma20.000398781
top_candidates[2].objective-14144.4
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top_candidates[2].edit_difference_from_selected.140.0.mean_mse5.15733e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.01834e-08
top_candidates[3].q_index10
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top_candidates[3].edit_difference_from_selected.140.0.variance_mse9.72913e-09
top_candidates[4].q_index10
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top_candidates[6].q_index10
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top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.39677e-10
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top_candidates[9].q_index10
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.321e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse9.90385e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock45
core_bytes_with_source_clock53
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13207.9
mean_gain_prepass.rss2.38359
mean_gain_prepass.sigma20.000581932
mean_gain_prepass.direct_rss2.38359
mean_gain_prepass.rss_difference1.15463e-14
mean_gain_prepass.direct_objective-13207.9
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03468e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
gain_penalty_nats11.624
final_objective-14152.8
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap11.9505
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse7.65295e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse3.61973e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse7.64633e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse3.60247e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index10
branch_diagnostics[1].diagnostics.top_candidates[6].events[[193, 1], [572, 1]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.10302146688413781, -0.00024271335327147528, 0.04190555667491502, 0.020545789957697246, 0.021016141367234897, -0.010208484598615123, 0.010899949484489621, 0.005575267792716163]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000526422
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000526422
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13459
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number3.07615
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap12.4927
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.86163e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse4.65748e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.85779e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse4.68412e-08
branch_diagnostics[1].diagnostics.top_candidates[7].q_index10
branch_diagnostics[1].diagnostics.top_candidates[7].events[[193, 1], [577, 1]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.10325647521442888, -0.0001322992945192863, 0.041964068335396766, 0.020495492266444603, 0.021040721911200905, -0.010289126341915283, 0.010891665452024513, 0.005585176702150722]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000541246
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000541246
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13457.5
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number3.10957
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap13.9664
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse2.3535e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse2.57454e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse2.35223e-08
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse2.56088e-08
branch_diagnostics[1].diagnostics.top_candidates[8].q_index10
branch_diagnostics[1].diagnostics.top_candidates[8].events[[193, 1]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.10355838382376757, -0.0001687832597385169, 0.04205438581159962, 0.020661157575108946, 0.021098575865973485, -0.010282682879843423, 0.01094810326860675, 0.005628846948704659]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000554907
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000554907
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13457.4
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number3.07299
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap14.1095
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse8.72592e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse4.71978e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse8.71242e-08
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse4.70937e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index10
branch_diagnostics[1].diagnostics.top_candidates[9].events[[193, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.10354280568155595, -0.00016747053167434682, 0.04198620921793165, 0.02063746029037086, 0.021035176447179314, -0.010253974572385601, 0.010888349744047844, 0.0056117329103273885]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000563702
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000563702
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13454.8
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number3.0838
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap16.7182
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.00855e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.47019e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse7.99662e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.47329e-08
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock48
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock56

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index10
selected_unquantized.events[[193, 1]]
selected_unquantized.mean[0.12499703533183633, -0.00027017597698448387, 0.050887427516900806, 0.02503322626486512, 0.025526719655990803, -0.012375535947680347, 0.013168638047186638, 0.006861300547986814]
selected_unquantized.sigma2_raw0.000395145
selected_unquantized.sigma20.000395145
selected_unquantized.objective-14152.8
selected_unquantized.condition_number3.109
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14152.8
direct_rss1.61851
rss_difference-9.99201e-15
sigma2_floor1.03468e-12
noise_near_floor_indeterminateFalse
max_condition_number12.3362
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1590
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1518
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1590
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1590
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1590
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1590
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1590
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1518
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index10
top_candidates[0].events[[193, 1]]
top_candidates[0].mean[0.12499703533183633, -0.00027017597698448387, 0.050887427516900806, 0.02503322626486512, 0.025526719655990803, -0.012375535947680347, 0.013168638047186638, 0.006861300547986814]
top_candidates[0].sigma2_raw0.000395145
top_candidates[0].sigma20.000395145
top_candidates[0].objective-14152.8
top_candidates[0].condition_number3.109
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index10
top_candidates[1].events[[193, 1], [375, 0]]
top_candidates[1].mean[0.1250244640672539, -0.00028903119625928354, 0.050912448188311935, 0.025012327809371165, 0.025534879706843983, -0.012404468443960447, 0.01316821476851983, 0.006832397082332397]
top_candidates[1].sigma2_raw0.0003931
top_candidates[1].sigma20.0003931
top_candidates[1].objective-14144.9
top_candidates[1].condition_number3.12651
top_candidates[1].objective_gap7.88389
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.92304e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.24417e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.92429e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.2275e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index10
top_candidates[2].events[[188, 0]]
top_candidates[2].mean[0.1250189343218908, -0.00027682604122875867, 0.05082617993729433, 0.025021551962483537, 0.025502147576724525, -0.012393597808423465, 0.01310027255902691, 0.006879934371923448]
top_candidates[2].sigma2_raw0.000398781
top_candidates[2].sigma20.000398781
top_candidates[2].objective-14144.4
top_candidates[2].condition_number3.1133
top_candidates[2].objective_gap8.44396
top_candidates[2].edit_difference_from_selected.120.0.mean_mse5.15595e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.01773e-08
top_candidates[2].edit_difference_from_selected.140.0.mean_mse5.15733e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.01834e-08
top_candidates[3].coupling_flag0
top_candidates[3].q_index10
top_candidates[3].events[[188, 1]]
top_candidates[3].mean[0.12504104611368358, -0.00027010851251851604, 0.05085005395379284, 0.02505624622109977, 0.025585200397785047, -0.012445308146517134, 0.01316034214177806, 0.006910604021964816]
top_candidates[3].sigma2_raw0.000387572
top_candidates[3].sigma20.000387572
top_candidates[3].objective-14144.3
top_candidates[3].condition_number3.1062
top_candidates[3].objective_gap8.49017
top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.38299e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse9.74149e-09
top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.35309e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse9.72913e-09
top_candidates[4].coupling_flag0
top_candidates[4].q_index10
top_candidates[4].events[[190, 1]]
top_candidates[4].mean[0.1250022242134742, -0.0002771624552109464, 0.05082697065894365, 0.025054380982529226, 0.02550449010039319, -0.012386834305611934, 0.013096315321203146, 0.006914792152279043]
top_candidates[4].sigma2_raw0.000395769
top_candidates[4].sigma20.000395769
top_candidates[4].objective-14144.2
top_candidates[4].condition_number3.0817
top_candidates[4].objective_gap8.62627
top_candidates[4].edit_difference_from_selected.120.0.mean_mse6.42105e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse7.95116e-09
top_candidates[4].edit_difference_from_selected.140.0.mean_mse6.41953e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse7.9528e-09
top_candidates[5].coupling_flag0
top_candidates[5].q_index10
top_candidates[5].events[[193, 1], [448, 0]]
top_candidates[5].mean[0.12500676261279972, -0.0002465331913070776, 0.050912673243441495, 0.025051973277588024, 0.025549487223297123, -0.012394778269216934, 0.013182015988099873, 0.006818621263291077]
top_candidates[5].sigma2_raw0.000391763
top_candidates[5].sigma20.000391763
top_candidates[5].objective-14144.1
top_candidates[5].condition_number3.13596
top_candidates[5].objective_gap8.74007
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.22944e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.23025e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.25379e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.24971e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index10
top_candidates[6].events[[193, 1], [333, 0]]
top_candidates[6].mean[0.125010451526412, -0.00031096979545110133, 0.05093965535161737, 0.02504198040887556, 0.025509087099534023, -0.012325856107304996, 0.013128716451192481, 0.006849135008747752]
top_candidates[6].sigma2_raw0.000393157
top_candidates[6].sigma20.000393157
top_candidates[6].objective-14143.9
top_candidates[6].condition_number3.11842
top_candidates[6].objective_gap8.92987
top_candidates[6].edit_difference_from_selected.120.0.mean_mse4.62016e-09
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.2553e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse4.60051e-09
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.23294e-10
top_candidates[7].coupling_flag0
top_candidates[7].q_index10
top_candidates[7].events[[191, 1]]
top_candidates[7].mean[0.12500284488449648, -0.0002595739252753972, 0.05086897205989949, 0.02502613355043623, 0.025587255488681557, -0.012425936946119367, 0.013152563334692951, 0.00688257612820521]
top_candidates[7].sigma2_raw0.00038769
top_candidates[7].sigma20.00038769
top_candidates[7].objective-14143.7
top_candidates[7].condition_number3.10082
top_candidates[7].objective_gap9.05128
top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.74497e-09
top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.22247e-08
top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.73857e-09
top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.2234e-08
top_candidates[8].coupling_flag0
top_candidates[8].q_index10
top_candidates[8].events[[193, 1], [451, 0]]
top_candidates[8].mean[0.1250139472775797, -0.00027230213888990146, 0.05089066415126033, 0.025043748433315742, 0.025513772392452522, -0.012383684559568882, 0.013165859968616009, 0.006846254402242335]
top_candidates[8].sigma2_raw0.000392057
top_candidates[8].sigma20.000392057
top_candidates[8].objective-14143.6
top_candidates[8].condition_number3.14225
top_candidates[8].objective_gap9.20816
top_candidates[8].edit_difference_from_selected.120.0.mean_mse4.40931e-10
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.22948e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse4.39677e-10
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.24521e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index10
top_candidates[9].events[[193, 1], [375, 1]]
top_candidates[9].mean[0.12504774093366958, -0.0002978787214305262, 0.050934383296196345, 0.025005650906257143, 0.025542005575637124, -0.01241885348207884, 0.013166854530629463, 0.006812410553687124]
top_candidates[9].sigma2_raw0.000391109
top_candidates[9].sigma20.000391109
top_candidates[9].objective-14143.5
top_candidates[9].condition_number3.14478
top_candidates[9].objective_gap9.3376
top_candidates[9].edit_difference_from_selected.120.0.mean_mse5.31493e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse9.91682e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.321e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse9.90385e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock46
core_bytes_with_source_clock54
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index96
mean_gain_prepass.selected_gain.width_index2
mean_gain_prepass.selected_gain.alpha_index2
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13207.9
mean_gain_prepass.rss2.38359
mean_gain_prepass.sigma20.000581932
mean_gain_prepass.direct_rss2.38359
mean_gain_prepass.rss_difference1.15463e-14
mean_gain_prepass.direct_objective-13207.9
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.03468e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode0
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14152.8
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-14164.4
branch_diagnostics[0].event_penalty_nats11.6188
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-14152.8
branch_diagnostics[0].objective_with_gain_penalty-14152.8
branch_diagnostics[0].objective_without_coupling_penalty-14152.8
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-14152.8
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[[193, 1]]
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branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.7222e-09
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branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[4].events[[193, 1], [572, 0]]
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branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.77922e-08
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[5].events[[193, 1], [572, 1]]
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branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
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branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.32051e-07
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse9.46758e-08
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branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.84954e-07
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse8.54247e-08
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock49
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock57
best_by_coupling_flag.0.mode0
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode0
best_by_coupling_flag.0.gain.center_index0
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index0
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14164.4
best_by_coupling_flag.0.event_penalty_nats11.6188
best_by_coupling_flag.0.gain_penalty_nats0
best_by_coupling_flag.0.objective_without_gain_penalty-14152.8
best_by_coupling_flag.0.objective_with_gain_penalty-14152.8
best_by_coupling_flag.0.objective_without_coupling_penalty-14152.8
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14152.8
best_by_coupling_flag.0.q_index10
best_by_coupling_flag.0.events[[193, 1]]
best_by_coupling_flag.1.mode0
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode0
best_by_coupling_flag.1.gain.center_index0
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index0
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14163.6
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats0
best_by_coupling_flag.1.objective_without_gain_penalty-14152
best_by_coupling_flag.1.objective_with_gain_penalty-14152
best_by_coupling_flag.1.objective_without_coupling_penalty-14152
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-14151.3
best_by_coupling_flag.1.q_index10
best_by_coupling_flag.1.events[[193, 1]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty0.777141
coupling_score_gap_eta1_minus_eta0_with_new_penalty1.47029
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableFalse

C5 非定常平均 / 入力seed 20261015

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.161976
[0].acoustic.peak0.480188
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.189
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.573
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.162097
[1].acoustic.peak0.484974
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz198.25
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames47
[1].output_f0.positive_median_hz119.735
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172587
[0].acoustic.peak0.589567
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz191.956
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz120.015
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168523
[0].acoustic.peak0.546673
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.255
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00184697
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00184697
[0].mechanism.mean_error.mse.all1.32992e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.32992e-06
[0].mechanism.mean_error.mae.all0.000628308
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000628308
[0].mechanism.mean_error.bias.all-5.0381e-05
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-5.0381e-05
[0].mechanism.variance_error.mse.all8.94631e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside8.94631e-11
[0].mechanism.variance_error.mae.all9.45849e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.45849e-06
[0].mechanism.variance_error.bias.all-9.45849e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.45849e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.954
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168208
[1].acoustic.peak0.540466
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.584
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00184697
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00184697
[1].mechanism.mean_error.mse.all1.32992e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.32992e-06
[1].mechanism.mean_error.mae.all0.000628308
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000628308
[1].mechanism.mean_error.bias.all-5.0381e-05
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-5.0381e-05
[1].mechanism.variance_error.mse.all8.94631e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside8.94631e-11
[1].mechanism.variance_error.mae.all9.45849e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.45849e-06
[1].mechanism.variance_error.bias.all-9.45849e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.45849e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.003
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168523
[0].acoustic.peak0.546673
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.255
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00184697
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00184697
[0].mechanism.mean_error.mse.all1.32992e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.32992e-06
[0].mechanism.mean_error.mae.all0.000628308
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000628308
[0].mechanism.mean_error.bias.all-5.0381e-05
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-5.0381e-05
[0].mechanism.variance_error.mse.all8.94631e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside8.94631e-11
[0].mechanism.variance_error.mae.all9.45849e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.45849e-06
[0].mechanism.variance_error.bias.all-9.45849e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.45849e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.954
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168208
[1].acoustic.peak0.540466
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.584
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00184697
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00184697
[1].mechanism.mean_error.mse.all1.32992e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.32992e-06
[1].mechanism.mean_error.mae.all0.000628308
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000628308
[1].mechanism.mean_error.bias.all-5.0381e-05
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-5.0381e-05
[1].mechanism.variance_error.mse.all8.94631e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside8.94631e-11
[1].mechanism.variance_error.mae.all9.45849e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.45849e-06
[1].mechanism.variance_error.bias.all-9.45849e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.45849e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz120.003
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.152707
[0].acoustic.peak0.451685
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz214.273
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames51
[0].output_f0.positive_median_hz139.049
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.150358
[1].acoustic.peak0.470702
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz211.946
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames48
[1].output_f0.positive_median_hz139.578
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.166483
[0].acoustic.peak0.525772
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz206.216
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.966
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168533
[0].acoustic.peak0.535897
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz219.734
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00367663
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00367663
[0].mechanism.mean_error.mse.all2.75903e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside2.75903e-06
[0].mechanism.mean_error.mae.all0.000657726
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000657726
[0].mechanism.mean_error.bias.all0.000115132
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000115132
[0].mechanism.variance_error.mse.all8.94631e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside8.94631e-11
[0].mechanism.variance_error.mae.all9.45849e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.45849e-06
[0].mechanism.variance_error.bias.all-9.45849e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.45849e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.036
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168599
[1].acoustic.peak0.550941
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz219.006
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00367663
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00367663
[1].mechanism.mean_error.mse.all2.75903e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside2.75903e-06
[1].mechanism.mean_error.mae.all0.000657726
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000657726
[1].mechanism.mean_error.bias.all0.000115132
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000115132
[1].mechanism.variance_error.mse.all8.94631e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside8.94631e-11
[1].mechanism.variance_error.mae.all9.45849e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.45849e-06
[1].mechanism.variance_error.bias.all-9.45849e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.45849e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.007
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168533
[0].acoustic.peak0.535897
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz219.734
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00367663
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00367663
[0].mechanism.mean_error.mse.all2.75903e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside2.75903e-06
[0].mechanism.mean_error.mae.all0.000657726
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000657726
[0].mechanism.mean_error.bias.all0.000115132
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000115132
[0].mechanism.variance_error.mse.all8.94631e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside8.94631e-11
[0].mechanism.variance_error.mae.all9.45849e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside9.45849e-06
[0].mechanism.variance_error.bias.all-9.45849e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside-9.45849e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.036
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168599
[1].acoustic.peak0.550941
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz219.006
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00367663
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00367663
[1].mechanism.mean_error.mse.all2.75903e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside2.75903e-06
[1].mechanism.mean_error.mae.all0.000657726
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000657726
[1].mechanism.mean_error.bias.all0.000115132
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000115132
[1].mechanism.variance_error.mse.all8.94631e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside8.94631e-11
[1].mechanism.variance_error.mae.all9.45849e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside9.45849e-06
[1].mechanism.variance_error.bias.all-9.45849e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside-9.45849e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.007
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.1254484715262388, 0.00020649033020142768, 0.05035266655927676, 0.024756431214886503, 0.025220599290984302, -0.012526232340338731, 0.013169740724945355, 0.006457456416045998]
selected_unquantized.sigma2_raw0.000390542
selected_unquantized.sigma20.000390542
selected_unquantized.objective-14024.7
selected_unquantized.condition_number1.05533
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14024.7
direct_rss1.59966
rss_difference-1.72973e-13
sigma2_floor1.27408e-12
noise_near_floor_indeterminateFalse
max_condition_number12.9437
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.1254484715262388, 0.00020649033020142768, 0.05035266655927676, 0.024756431214886503, 0.025220599290984302, -0.012526232340338731, 0.013169740724945355, 0.006457456416045998]
top_candidates[0].sigma2_raw0.000390542
top_candidates[0].sigma20.000390542
top_candidates[0].objective-14024.7
top_candidates[0].condition_number1.05533
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[117, 0]]
top_candidates[1].mean[0.1254513633680673, 0.0002046358821287552, 0.05034700421715832, 0.024755139841751293, 0.025224229475643678, -0.01252089530389086, 0.013169130256376949, 0.006451531145577274]
top_candidates[1].sigma2_raw0.000388529
top_candidates[1].sigma20.000388529
top_candidates[1].objective-14015
top_candidates[1].condition_number1.0544
top_candidates[1].objective_gap9.69011
top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.8398e-11
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.11433e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.69931e-11
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.11433e-10
top_candidates[2].q_index0
top_candidates[2].events[[231, 0]]
top_candidates[2].mean[0.1254483341431352, 0.00021752931557668905, 0.05034408022110922, 0.024756872679532447, 0.025219379009063774, -0.012531944700978924, 0.013172780560492852, 0.006454767615364388]
top_candidates[2].sigma2_raw0.000388567
top_candidates[2].sigma20.000388567
top_candidates[2].objective-14014.8
top_candidates[2].condition_number1.05541
top_candidates[2].objective_gap9.89013
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.52029e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.11566e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.54448e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.11566e-10
top_candidates[3].q_index0
top_candidates[3].events[[330, 0]]
top_candidates[3].mean[0.12540615606882252, 0.00016377526971251817, 0.05036176558682563, 0.02469408999232499, 0.02527315537137841, -0.012542980555590912, 0.013190102554505699, 0.006489518353360539]
top_candidates[3].sigma2_raw0.000388587
top_candidates[3].sigma20.000388587
top_candidates[3].objective-14014.7
top_candidates[3].condition_number1.07242
top_candidates[3].objective_gap9.99713
top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.44106e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.11638e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.57215e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.11638e-10
top_candidates[4].q_index0
top_candidates[4].events[[126, 0]]
top_candidates[4].mean[0.12543419432149364, 0.00020649681453476968, 0.05034123686743891, 0.024755556037535896, 0.025215098453055695, -0.012528181384498637, 0.013171890540552548, 0.006455443942520731]
top_candidates[4].sigma2_raw0.000388589
top_candidates[4].sigma20.000388589
top_candidates[4].objective-14014.6
top_candidates[4].condition_number1.05709
top_candidates[4].objective_gap10.0086
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.33098e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.11646e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.35749e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.11646e-10
top_candidates[5].q_index0
top_candidates[5].events[[118, 0]]
top_candidates[5].mean[0.12543788956150234, 0.0002058080394662467, 0.05033942303607615, 0.024762227357343944, 0.025220521799636852, -0.012515764698323592, 0.013175077324408419, 0.006459940802198093]
top_candidates[5].sigma2_raw0.000386982
top_candidates[5].sigma20.000386982
top_candidates[5].objective-14014.5
top_candidates[5].condition_number1.05679
top_candidates[5].objective_gap10.1755
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.86264e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.20437e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.87182e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.20437e-09
top_candidates[6].q_index0
top_candidates[6].events[[112, 0]]
top_candidates[6].mean[0.1254481502699615, 0.00020325062288547232, 0.050350749953542585, 0.024760141740562784, 0.025216038071010898, -0.012525193674298794, 0.013182276868731961, 0.006459111157620129]
top_candidates[6].sigma2_raw0.000386996
top_candidates[6].sigma20.000386996
top_candidates[6].objective-14014.4
top_candidates[6].condition_number1.05325
top_candidates[6].objective_gap10.2485
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.3115e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.20448e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.31156e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.20448e-09
top_candidates[7].q_index0
top_candidates[7].events[[150, 0]]
top_candidates[7].mean[0.12545030478617888, 0.0002062780504002222, 0.050354029755200154, 0.024756450899887216, 0.025221705819778204, -0.012525423512428475, 0.01317133827877878, 0.006459472348902043]
top_candidates[7].sigma2_raw0.000388673
top_candidates[7].sigma20.000388673
top_candidates[7].objective-14014.2
top_candidates[7].condition_number1.05734
top_candidates[7].objective_gap10.4518
top_candidates[7].edit_difference_from_selected.120.0.mean_mse8.51841e-12
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.11954e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.60727e-12
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.11954e-10
top_candidates[8].q_index0
top_candidates[8].events[[528, 0]]
top_candidates[8].mean[0.12547732598447942, 0.00020699430838274531, 0.050387211487780435, 0.024770027294653562, 0.025244982391342787, -0.01249542621645645, 0.013171997097236206, 0.006490296083800404]
top_candidates[8].sigma2_raw0.000388686
top_candidates[8].sigma20.000388686
top_candidates[8].objective-14014.1
top_candidates[8].condition_number1.0726
top_candidates[8].objective_gap10.5199
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.97757e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.12002e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.02797e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.12002e-10
top_candidates[9].q_index0
top_candidates[9].events[[288, 0]]
top_candidates[9].mean[0.12552960082370795, 0.00020739632217591373, 0.050289458314890734, 0.024758782677877948, 0.025263222134440644, -0.01253678403674911, 0.013144206786257993, 0.006476911916651802]
top_candidates[9].sigma2_raw0.000388696
top_candidates[9].sigma20.000388696
top_candidates[9].objective-14014.1
top_candidates[9].condition_number1.04164
top_candidates[9].objective_gap10.5699
top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.65374e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.12038e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.48567e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.12038e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index0
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-14024.7
mean_gain_prepass.rss1.59966
mean_gain_prepass.sigma20.000390542
mean_gain_prepass.direct_rss1.59966
mean_gain_prepass.rss_difference-5.21805e-14
mean_gain_prepass.direct_objective-14024.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.27408e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
gain_penalty_nats11.624
final_objective-14013
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].objective_without_gain_penalty-10152.8
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_with_gain_penalty-10152.8
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.12554146151486179, -5.8546002117656546e-05, 0.049237739340534346, 0.02426319065366426, 0.024999097574957163, -0.012896661392477887, 0.013223859987574941, 0.006438056334328801]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.00287382
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.00287382
branch_diagnostics[0].diagnostics.selected_unquantized.objective-10152.8
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-10152.8
branch_diagnostics[0].diagnostics.direct_rss11.7712
branch_diagnostics[0].diagnostics.rss_difference7.4607e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.27408e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
branch_diagnostics[0].diagnostics.candidate_counts[0].zero1
branch_diagnostics[0].diagnostics.candidate_counts[0].one1737
branch_diagnostics[0].diagnostics.candidate_counts[0].two1626
branch_diagnostics[0].diagnostics.candidate_counts[1].q_index1
branch_diagnostics[0].diagnostics.candidate_counts[1].zero1
branch_diagnostics[0].diagnostics.candidate_counts[1].one1737
branch_diagnostics[0].diagnostics.candidate_counts[1].two1626
branch_diagnostics[0].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[0].diagnostics.candidate_counts[2].zero1
branch_diagnostics[0].diagnostics.candidate_counts[2].one1737
branch_diagnostics[0].diagnostics.candidate_counts[2].two1626
branch_diagnostics[0].diagnostics.candidate_counts[3].q_index3
branch_diagnostics[0].diagnostics.candidate_counts[3].zero1
branch_diagnostics[0].diagnostics.candidate_counts[3].one1737
branch_diagnostics[0].diagnostics.candidate_counts[3].two1626
branch_diagnostics[0].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[0].diagnostics.candidate_counts[4].zero1
branch_diagnostics[0].diagnostics.candidate_counts[4].one1737
branch_diagnostics[0].diagnostics.candidate_counts[4].two1626
branch_diagnostics[0].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[0].diagnostics.candidate_counts[5].zero1
branch_diagnostics[0].diagnostics.candidate_counts[5].one1737
branch_diagnostics[0].diagnostics.candidate_counts[5].two1626
branch_diagnostics[0].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[0].diagnostics.candidate_counts[6].zero1
branch_diagnostics[0].diagnostics.candidate_counts[6].one1737
branch_diagnostics[0].diagnostics.candidate_counts[6].two1626
branch_diagnostics[0].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[0].diagnostics.candidate_counts[7].zero1
branch_diagnostics[0].diagnostics.candidate_counts[7].one1737
branch_diagnostics[0].diagnostics.candidate_counts[7].two1626
branch_diagnostics[0].diagnostics.candidate_counts[8].q_index8
branch_diagnostics[0].diagnostics.candidate_counts[8].zero1
branch_diagnostics[0].diagnostics.candidate_counts[8].one1737
branch_diagnostics[0].diagnostics.candidate_counts[8].two1626
branch_diagnostics[0].diagnostics.candidate_counts[9].q_index9
branch_diagnostics[0].diagnostics.candidate_counts[9].zero1
branch_diagnostics[0].diagnostics.candidate_counts[9].one1737
branch_diagnostics[0].diagnostics.candidate_counts[9].two1668
branch_diagnostics[0].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[0].diagnostics.candidate_counts[10].zero1
branch_diagnostics[0].diagnostics.candidate_counts[10].one1737
branch_diagnostics[0].diagnostics.candidate_counts[10].two1626
branch_diagnostics[0].diagnostics.candidate_counts[11].q_index11
branch_diagnostics[0].diagnostics.candidate_counts[11].zero1
branch_diagnostics[0].diagnostics.candidate_counts[11].one1737
branch_diagnostics[0].diagnostics.candidate_counts[11].two1626
branch_diagnostics[0].diagnostics.candidate_counts[12].q_index12
branch_diagnostics[0].diagnostics.candidate_counts[12].zero1
branch_diagnostics[0].diagnostics.candidate_counts[12].one1737
branch_diagnostics[0].diagnostics.candidate_counts[12].two1653
branch_diagnostics[0].diagnostics.candidate_counts[13].q_index13
branch_diagnostics[0].diagnostics.candidate_counts[13].zero1
branch_diagnostics[0].diagnostics.candidate_counts[13].one1737
branch_diagnostics[0].diagnostics.candidate_counts[13].two1626
branch_diagnostics[0].diagnostics.candidate_counts[14].q_index14
branch_diagnostics[0].diagnostics.candidate_counts[14].zero1
branch_diagnostics[0].diagnostics.candidate_counts[14].one1737
branch_diagnostics[0].diagnostics.candidate_counts[14].two1626
branch_diagnostics[0].diagnostics.candidate_counts[15].q_index15
branch_diagnostics[0].diagnostics.candidate_counts[15].zero1
branch_diagnostics[0].diagnostics.candidate_counts[15].one1737
branch_diagnostics[0].diagnostics.candidate_counts[15].two1626
branch_diagnostics[0].diagnostics.candidate_counts[16].q_index16
branch_diagnostics[0].diagnostics.candidate_counts[16].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1626
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1626
branch_diagnostics[1].diagnostics.top_candidates[0].q_index0
branch_diagnostics[1].diagnostics.top_candidates[0].events[]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.1254484715262388, 0.00020649033020142768, 0.05035266655927676, 0.024756431214886503, 0.025220599290984302, -0.012526232340338731, 0.013169740724945355, 0.006457456416045998]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000390542
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000390542
branch_diagnostics[1].diagnostics.top_candidates[0].objective-14024.7
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number1.05533
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index0
branch_diagnostics[1].diagnostics.top_candidates[1].events[[117, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.1254513633680673, 0.0002046358821287552, 0.05034700421715832, 0.024755139841751293, 0.025224229475643678, -0.01252089530389086, 0.013169130256376949, 0.006451531145577274]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000388529
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000388529
branch_diagnostics[1].diagnostics.top_candidates[1].objective-14015
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number1.0544
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap9.69011
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.8398e-11
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.11433e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.69931e-11
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.11433e-10
branch_diagnostics[1].diagnostics.top_candidates[2].q_index0
branch_diagnostics[1].diagnostics.top_candidates[2].events[[231, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.1254483341431352, 0.00021752931557668905, 0.05034408022110922, 0.024756872679532447, 0.025219379009063774, -0.012531944700978924, 0.013172780560492852, 0.006454767615364388]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000388567
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000388567
branch_diagnostics[1].diagnostics.top_candidates[2].objective-14014.8
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number1.05541
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap9.89013
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.52029e-10
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.11566e-10
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.54448e-10
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.11566e-10
branch_diagnostics[1].diagnostics.top_candidates[3].q_index0
branch_diagnostics[1].diagnostics.top_candidates[3].events[[330, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.12540615606882252, 0.00016377526971251817, 0.05036176558682563, 0.02469408999232499, 0.02527315537137841, -0.012542980555590912, 0.013190102554505699, 0.006489518353360539]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000388587
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000388587
branch_diagnostics[1].diagnostics.top_candidates[3].objective-14014.7
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.07242
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap9.99713
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.44106e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.11638e-10
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.57215e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.11638e-10
branch_diagnostics[1].diagnostics.top_candidates[4].q_index0
branch_diagnostics[1].diagnostics.top_candidates[4].events[[126, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.12543419432149364, 0.00020649681453476968, 0.05034123686743891, 0.024755556037535896, 0.025215098453055695, -0.012528181384498637, 0.013171890540552548, 0.006455443942520731]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000388589
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000388589
branch_diagnostics[1].diagnostics.top_candidates[4].objective-14014.6
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.05709
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap10.0086
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.33098e-10
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.11646e-10
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.35749e-10
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.11646e-10
branch_diagnostics[1].diagnostics.top_candidates[5].q_index0
branch_diagnostics[1].diagnostics.top_candidates[5].events[[118, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.12543788956150234, 0.0002058080394662467, 0.05033942303607615, 0.024762227357343944, 0.025220521799636852, -0.012515764698323592, 0.013175077324408419, 0.006459940802198093]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000386982
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000386982
branch_diagnostics[1].diagnostics.top_candidates[5].objective-14014.5
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.05679
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.1755
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.86264e-10
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.20437e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.87182e-10
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.20437e-09
branch_diagnostics[1].diagnostics.top_candidates[6].q_index0
branch_diagnostics[1].diagnostics.top_candidates[6].events[[112, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.1254481502699615, 0.00020325062288547232, 0.050350749953542585, 0.024760141740562784, 0.025216038071010898, -0.012525193674298794, 0.013182276868731961, 0.006459111157620129]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000386996
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000386996
branch_diagnostics[1].diagnostics.top_candidates[6].objective-14014.4
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.05325
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap10.2485
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.3115e-10
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.20448e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.31156e-10
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.20448e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index0
branch_diagnostics[1].diagnostics.top_candidates[7].events[[150, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.12545030478617888, 0.0002062780504002222, 0.050354029755200154, 0.024756450899887216, 0.025221705819778204, -0.012525423512428475, 0.01317133827877878, 0.006459472348902043]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000388673
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000388673
branch_diagnostics[1].diagnostics.top_candidates[7].objective-14014.2
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.05734
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap10.4518
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse8.51841e-12
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.11954e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.60727e-12
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.11954e-10
branch_diagnostics[1].diagnostics.top_candidates[8].q_index0
branch_diagnostics[1].diagnostics.top_candidates[8].events[[528, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.12547732598447942, 0.00020699430838274531, 0.050387211487780435, 0.024770027294653562, 0.025244982391342787, -0.01249542621645645, 0.013171997097236206, 0.006490296083800404]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000388686
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000388686
branch_diagnostics[1].diagnostics.top_candidates[8].objective-14014.1
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.0726
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap10.5199
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.97757e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.12002e-10
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.02797e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.12002e-10
branch_diagnostics[1].diagnostics.top_candidates[9].q_index0
branch_diagnostics[1].diagnostics.top_candidates[9].events[[288, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.12552960082370795, 0.00020739632217591373, 0.050289458314890734, 0.024758782677877948, 0.025263222134440644, -0.01253678403674911, 0.013144206786257993, 0.006476911916651802]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000388696
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000388696
branch_diagnostics[1].diagnostics.top_candidates[9].objective-14014.1
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.04164
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap10.5699
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.65374e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.12038e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.48567e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.12038e-10
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.1254484715262388, 0.00020649033020142768, 0.05035266655927676, 0.024756431214886503, 0.025220599290984302, -0.012526232340338731, 0.013169740724945355, 0.006457456416045998]
selected_unquantized.sigma2_raw0.000390542
selected_unquantized.sigma20.000390542
selected_unquantized.objective-14024.7
selected_unquantized.condition_number1.05533
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-14024.7
direct_rss1.59966
rss_difference-1.72973e-13
sigma2_floor1.27408e-12
noise_near_floor_indeterminateFalse
max_condition_number12.9437
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1626
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1626
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.1254484715262388, 0.00020649033020142768, 0.05035266655927676, 0.024756431214886503, 0.025220599290984302, -0.012526232340338731, 0.013169740724945355, 0.006457456416045998]
top_candidates[0].sigma2_raw0.000390542
top_candidates[0].sigma20.000390542
top_candidates[0].objective-14024.7
top_candidates[0].condition_number1.05533
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[117, 0]]
top_candidates[1].mean[0.1254513633680673, 0.0002046358821287552, 0.05034700421715832, 0.024755139841751293, 0.025224229475643678, -0.01252089530389086, 0.013169130256376949, 0.006451531145577274]
top_candidates[1].sigma2_raw0.000388529
top_candidates[1].sigma20.000388529
top_candidates[1].objective-14015
top_candidates[1].condition_number1.0544
top_candidates[1].objective_gap9.69011
top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.8398e-11
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.11433e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.69931e-11
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.11433e-10
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[231, 0]]
top_candidates[2].mean[0.1254483341431352, 0.00021752931557668905, 0.05034408022110922, 0.024756872679532447, 0.025219379009063774, -0.012531944700978924, 0.013172780560492852, 0.006454767615364388]
top_candidates[2].sigma2_raw0.000388567
top_candidates[2].sigma20.000388567
top_candidates[2].objective-14014.8
top_candidates[2].condition_number1.05541
top_candidates[2].objective_gap9.89013
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.52029e-10
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.11566e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.54448e-10
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.11566e-10
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[330, 0]]
top_candidates[3].mean[0.12540615606882252, 0.00016377526971251817, 0.05036176558682563, 0.02469408999232499, 0.02527315537137841, -0.012542980555590912, 0.013190102554505699, 0.006489518353360539]
top_candidates[3].sigma2_raw0.000388587
top_candidates[3].sigma20.000388587
top_candidates[3].objective-14014.7
top_candidates[3].condition_number1.07242
top_candidates[3].objective_gap9.99713
top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.44106e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.11638e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.57215e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.11638e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[126, 0]]
top_candidates[4].mean[0.12543419432149364, 0.00020649681453476968, 0.05034123686743891, 0.024755556037535896, 0.025215098453055695, -0.012528181384498637, 0.013171890540552548, 0.006455443942520731]
top_candidates[4].sigma2_raw0.000388589
top_candidates[4].sigma20.000388589
top_candidates[4].objective-14014.6
top_candidates[4].condition_number1.05709
top_candidates[4].objective_gap10.0086
top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.33098e-10
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.11646e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.35749e-10
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.11646e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[118, 0]]
top_candidates[5].mean[0.12543788956150234, 0.0002058080394662467, 0.05033942303607615, 0.024762227357343944, 0.025220521799636852, -0.012515764698323592, 0.013175077324408419, 0.006459940802198093]
top_candidates[5].sigma2_raw0.000386982
top_candidates[5].sigma20.000386982
top_candidates[5].objective-14014.5
top_candidates[5].condition_number1.05679
top_candidates[5].objective_gap10.1755
top_candidates[5].edit_difference_from_selected.120.0.mean_mse2.86264e-10
top_candidates[5].edit_difference_from_selected.120.0.variance_mse1.20437e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse2.87182e-10
top_candidates[5].edit_difference_from_selected.140.0.variance_mse1.20437e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[112, 0]]
top_candidates[6].mean[0.1254481502699615, 0.00020325062288547232, 0.050350749953542585, 0.024760141740562784, 0.025216038071010898, -0.012525193674298794, 0.013182276868731961, 0.006459111157620129]
top_candidates[6].sigma2_raw0.000386996
top_candidates[6].sigma20.000386996
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top_candidates[6].condition_number1.05325
top_candidates[6].objective_gap10.2485
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.3115e-10
top_candidates[6].edit_difference_from_selected.120.0.variance_mse1.20448e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.31156e-10
top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.20448e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[150, 0]]
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top_candidates[7].condition_number1.05734
top_candidates[7].objective_gap10.4518
top_candidates[7].edit_difference_from_selected.120.0.mean_mse8.51841e-12
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.11954e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse8.60727e-12
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.11954e-10
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top_candidates[8].objective_gap10.5199
top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.97757e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.12002e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse3.02797e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.12002e-10
top_candidates[9].coupling_flag0
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top_candidates[9].objective_gap10.5699
top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.65374e-09
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.12038e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.48567e-09
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.12038e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index0
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-14024.7
mean_gain_prepass.rss1.59966
mean_gain_prepass.sigma20.000390542
mean_gain_prepass.direct_rss1.59966
mean_gain_prepass.rss_difference-5.21805e-14
mean_gain_prepass.direct_objective-14024.7
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.27408e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-14013
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[7].q_index3
branch_diagnostics[3].diagnostics.top_candidates[7].events[[110, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.1254334060634351, 0.00022629478992366368, 0.05033766252082114, 0.024762478499128757, 0.025213505422829546, -0.012522227584631113, 0.013174846981119651, 0.006418448028918852]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000397017
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000397017
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13988.5
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.67819
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap2.51506
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.44826e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse1.00618e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.449e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse7.10514e-10
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index3
branch_diagnostics[3].diagnostics.top_candidates[8].events[[289, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.12554126144564337, 0.0002707780344902152, 0.050316021493853565, 0.024705075987447304, 0.025213134751596922, -0.012535393695504346, 0.013125805398178531, 0.006444927077445432]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000400399
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000400399
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13988.4
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.64273
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap2.57978
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.20544e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.66804e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.18906e-08
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse3.97147e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index3
branch_diagnostics[3].diagnostics.top_candidates[9].events[[113, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.12542831766331314, 0.00022863430906833694, 0.050335471463014626, 0.024760924216752828, 0.02521299423005381, -0.01252077384121494, 0.013172404455533887, 0.006416260840626372]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000397052
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000397052
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13988.3
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.67768
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap2.69244
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.80992e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse7.21963e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.81692e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse5.18763e-10
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode1
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode1
best_by_coupling_flag.0.gain.center_index48
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index4
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-14024.7
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats11.624
best_by_coupling_flag.0.objective_without_gain_penalty-14024.7
best_by_coupling_flag.0.objective_with_gain_penalty-14013
best_by_coupling_flag.0.objective_without_coupling_penalty-14013
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-14013
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode1
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode1
best_by_coupling_flag.1.gain.center_index48
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index4
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-14002.6
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats11.624
best_by_coupling_flag.1.objective_without_gain_penalty-13991
best_by_coupling_flag.1.objective_with_gain_penalty-13979.4
best_by_coupling_flag.1.objective_without_coupling_penalty-13979.4
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13978.7
best_by_coupling_flag.1.q_index3
best_by_coupling_flag.1.events[[118, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty33.6756
coupling_score_gap_eta1_minus_eta0_with_new_penalty34.3687
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C5 非定常平均 / 入力seed 20261019

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.161299
[0].acoustic.peak0.4784
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz197.413
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.493
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.161863
[1].acoustic.peak0.493989
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz198.127
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames50
[1].output_f0.positive_median_hz119.751
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172986
[0].acoustic.peak0.600529
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz190.501
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.907
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168068
[0].acoustic.peak0.542369
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz197.425
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00447489
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00447489
[0].mechanism.mean_error.mse.all3.59064e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside3.59064e-06
[0].mechanism.mean_error.mae.all0.0010421
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.0010421
[0].mechanism.mean_error.bias.all0.000156002
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000156002
[0].mechanism.variance_error.mse.all3.21981e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside3.21981e-11
[0].mechanism.variance_error.mae.all5.67433e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.67433e-06
[0].mechanism.variance_error.bias.all5.67433e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.67433e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.954
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168779
[1].acoustic.peak0.526969
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.209
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00447489
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00447489
[1].mechanism.mean_error.mse.all3.59064e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside3.59064e-06
[1].mechanism.mean_error.mae.all0.0010421
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.0010421
[1].mechanism.mean_error.bias.all0.000156002
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000156002
[1].mechanism.variance_error.mse.all3.21981e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside3.21981e-11
[1].mechanism.variance_error.mae.all5.67433e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.67433e-06
[1].mechanism.variance_error.bias.all5.67433e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.67433e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.978
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168068
[0].acoustic.peak0.542369
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz197.425
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00447489
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00447489
[0].mechanism.mean_error.mse.all3.59064e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside3.59064e-06
[0].mechanism.mean_error.mae.all0.0010421
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.0010421
[0].mechanism.mean_error.bias.all0.000156002
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000156002
[0].mechanism.variance_error.mse.all3.21981e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside3.21981e-11
[0].mechanism.variance_error.mae.all5.67433e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.67433e-06
[0].mechanism.variance_error.bias.all5.67433e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.67433e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.954
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168779
[1].acoustic.peak0.526969
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.209
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00447489
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00447489
[1].mechanism.mean_error.mse.all3.59064e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside3.59064e-06
[1].mechanism.mean_error.mae.all0.0010421
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.0010421
[1].mechanism.mean_error.bias.all0.000156002
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000156002
[1].mechanism.variance_error.mse.all3.21981e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside3.21981e-11
[1].mechanism.variance_error.mae.all5.67433e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.67433e-06
[1].mechanism.variance_error.bias.all5.67433e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.67433e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.978
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.15339
[0].acoustic.peak0.480361
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz212.624
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz138.969
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.151363
[1].acoustic.peak0.457371
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz212.784
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames50
[1].output_f0.positive_median_hz139.189
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.167024
[0].acoustic.peak0.555261
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz207.066
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.881
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168825
[0].acoustic.peak0.521237
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz219.917
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00742633
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00742633
[0].mechanism.mean_error.mse.all5.98528e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside5.98528e-06
[0].mechanism.mean_error.mae.all0.00109266
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00109266
[0].mechanism.mean_error.bias.all-0.000194471
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-0.000194471
[0].mechanism.variance_error.mse.all3.21981e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside3.21981e-11
[0].mechanism.variance_error.mae.all5.67433e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.67433e-06
[0].mechanism.variance_error.bias.all5.67433e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.67433e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.045
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168652
[1].acoustic.peak0.534821
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz222.986
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00742633
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00742633
[1].mechanism.mean_error.mse.all5.98528e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside5.98528e-06
[1].mechanism.mean_error.mae.all0.00109266
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00109266
[1].mechanism.mean_error.bias.all-0.000194471
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-0.000194471
[1].mechanism.variance_error.mse.all3.21981e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside3.21981e-11
[1].mechanism.variance_error.mae.all5.67433e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.67433e-06
[1].mechanism.variance_error.bias.all5.67433e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.67433e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.018
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168825
[0].acoustic.peak0.521237
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz219.917
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00742633
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00742633
[0].mechanism.mean_error.mse.all5.98528e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside5.98528e-06
[0].mechanism.mean_error.mae.all0.00109266
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.00109266
[0].mechanism.mean_error.bias.all-0.000194471
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-0.000194471
[0].mechanism.variance_error.mse.all3.21981e-11
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside3.21981e-11
[0].mechanism.variance_error.mae.all5.67433e-06
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside5.67433e-06
[0].mechanism.variance_error.bias.all5.67433e-06
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside5.67433e-06
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz140.045
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168652
[1].acoustic.peak0.534821
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz222.986
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00742633
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00742633
[1].mechanism.mean_error.mse.all5.98528e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside5.98528e-06
[1].mechanism.mean_error.mae.all0.00109266
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.00109266
[1].mechanism.mean_error.bias.all-0.000194471
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-0.000194471
[1].mechanism.variance_error.mse.all3.21981e-11
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside3.21981e-11
[1].mechanism.variance_error.mae.all5.67433e-06
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside5.67433e-06
[1].mechanism.variance_error.bias.all5.67433e-06
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside5.67433e-06
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.018
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12654818747415245, 0.00039151504010381225, 0.049796482565181995, 0.02435209700499036, 0.0253961380480622, -0.012518653243699168, 0.011921386328440229, 0.006707386989046263]
selected_unquantized.sigma2_raw0.000405674
selected_unquantized.sigma20.000405674
selected_unquantized.objective-13946.8
selected_unquantized.condition_number1.0434
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13946.8
direct_rss1.66164
rss_difference-3.5083e-14
sigma2_floor1.28386e-12
noise_near_floor_indeterminateFalse
max_condition_number12.7274
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1668
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1626
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1626
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1626
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1626
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1626
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1668
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1626
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1626
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12654818747415245, 0.00039151504010381225, 0.049796482565181995, 0.02435209700499036, 0.0253961380480622, -0.012518653243699168, 0.011921386328440229, 0.006707386989046263]
top_candidates[0].sigma2_raw0.000405674
top_candidates[0].sigma20.000405674
top_candidates[0].objective-13946.8
top_candidates[0].condition_number1.0434
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[315, 0]]
top_candidates[1].mean[0.12651184779806837, 0.0003665727150172728, 0.049816714128874715, 0.024401124341286728, 0.025404123671733045, -0.012577207960669004, 0.011890211049903277, 0.0067535630654260844]
top_candidates[1].sigma2_raw0.000403682
top_candidates[1].sigma20.000403682
top_candidates[1].objective-13936.6
top_candidates[1].condition_number1.02801
top_candidates[1].objective_gap10.1889
top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.20255e-09
top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.60098e-10
top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.13611e-09
top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.60098e-10
top_candidates[2].q_index0
top_candidates[2].events[[408, 0]]
top_candidates[2].mean[0.12655738244432566, 0.0003629449138895011, 0.04981676834017065, 0.02436860015468731, 0.025376636221864726, -0.012511311195706048, 0.011926073303817696, 0.006691826622737711]
top_candidates[2].sigma2_raw0.000403686
top_candidates[2].sigma20.000403686
top_candidates[2].objective-13936.6
top_candidates[2].condition_number1.04808
top_candidates[2].objective_gap10.2117
top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.42569e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.60115e-10
top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.42694e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.60115e-10
top_candidates[3].q_index0
top_candidates[3].events[[534, 0]]
top_candidates[3].mean[0.12655877712628896, 0.0003596425493385087, 0.04982124023844024, 0.02436636085082172, 0.025382320764739136, -0.01249839566235128, 0.01190061375020804, 0.00669574224611739]
top_candidates[3].sigma2_raw0.000403714
top_candidates[3].sigma20.000403714
top_candidates[3].objective-13936.4
top_candidates[3].condition_number1.04508
top_candidates[3].objective_gap10.3498
top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.93777e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.60219e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.94038e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.60219e-10
top_candidates[4].q_index0
top_candidates[4].events[[507, 0]]
top_candidates[4].mean[0.1265414955241885, 0.0004302578259166021, 0.04975603200890002, 0.024340201048807217, 0.025411830774039787, -0.012558973864585264, 0.01195891835166885, 0.006720489266897204]
top_candidates[4].sigma2_raw0.000403739
top_candidates[4].sigma20.000403739
top_candidates[4].objective-13936.3
top_candidates[4].condition_number1.05089
top_candidates[4].objective_gap10.4779
top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.21688e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.60317e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.22376e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.60317e-10
top_candidates[5].q_index0
top_candidates[5].events[[345, 0]]
top_candidates[5].mean[0.12653593242650693, 0.0003953965792731242, 0.049796760270104705, 0.02437443795682484, 0.025422668486185605, -0.012514522188831935, 0.011925643223046952, 0.006683100233903142]
top_candidates[5].sigma2_raw0.000403752
top_candidates[5].sigma20.000403752
top_candidates[5].objective-13936.3
top_candidates[5].condition_number1.06097
top_candidates[5].objective_gap10.5434
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.24185e-09
top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.60367e-10
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.24333e-09
top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.60367e-10
top_candidates[6].q_index0
top_candidates[6].events[[297, 0]]
top_candidates[6].mean[0.12658453990614438, 0.0003125737090803919, 0.04974837840735034, 0.024286214928628706, 0.025328981987385497, -0.012516084746121533, 0.011895564929333925, 0.006740615643922499]
top_candidates[6].sigma2_raw0.000403777
top_candidates[6].sigma20.000403777
top_candidates[6].objective-13936.1
top_candidates[6].condition_number1.06416
top_candidates[6].objective_gap10.671
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.25662e-08
top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.60467e-10
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.27215e-08
top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.60467e-10
top_candidates[7].q_index0
top_candidates[7].events[[12, 0]]
top_candidates[7].mean[0.1265465697240655, 0.0003861238664991577, 0.049800914417082086, 0.02436178309280074, 0.0253883308365457, -0.01253076092045429, 0.011931581351895712, 0.006719758199129996]
top_candidates[7].sigma2_raw0.000403798
top_candidates[7].sigma20.000403798
top_candidates[7].objective-13936
top_candidates[7].condition_number1.04245
top_candidates[7].objective_gap10.7768
top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.8531e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.6055e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.82601e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.6055e-10
top_candidates[8].q_index0
top_candidates[8].events[[411, 0]]
top_candidates[8].mean[0.12654438434774123, 0.00037771861358399566, 0.049814969069479124, 0.024367837043669575, 0.025369018217805368, -0.012523489743301627, 0.011943231603084654, 0.0066989825357159465]
top_candidates[8].sigma2_raw0.000403806
top_candidates[8].sigma20.000403806
top_candidates[8].objective-13936
top_candidates[8].condition_number1.03974
top_candidates[8].objective_gap10.8193
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.32225e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.60584e-10
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.31713e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.60584e-10
top_candidates[9].q_index0
top_candidates[9].events[[180, 0]]
top_candidates[9].mean[0.12654132939724552, 0.0003890585152688943, 0.0497960189241846, 0.02433999519298348, 0.025410493598689275, -0.012522929125055383, 0.011929462315132859, 0.0067205641972259075]
top_candidates[9].sigma2_raw0.000403817
top_candidates[9].sigma20.000403817
top_candidates[9].objective-13935.9
top_candidates[9].condition_number1.04339
top_candidates[9].objective_gap10.8761
top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.11331e-10
top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.6063e-10
top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.12382e-10
top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.6063e-10
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index1
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13946.8
mean_gain_prepass.rss1.66164
mean_gain_prepass.sigma20.000405674
mean_gain_prepass.direct_rss1.66164
mean_gain_prepass.rss_difference-2.08722e-14
mean_gain_prepass.direct_objective-13946.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.28386e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
gain_penalty_nats11.624
final_objective-13935.2
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.direct_objective-13946.8
branch_diagnostics[1].diagnostics.direct_rss1.66164
branch_diagnostics[1].diagnostics.rss_difference-3.5083e-14
branch_diagnostics[1].diagnostics.sigma2_floor1.28386e-12
branch_diagnostics[1].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[1].diagnostics.max_condition_number12.7274
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branch_diagnostics[1].diagnostics.candidate_counts[0].zero1
branch_diagnostics[1].diagnostics.candidate_counts[0].one1737
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branch_diagnostics[1].diagnostics.candidate_counts[2].q_index2
branch_diagnostics[1].diagnostics.candidate_counts[2].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[4].q_index4
branch_diagnostics[1].diagnostics.candidate_counts[4].zero1
branch_diagnostics[1].diagnostics.candidate_counts[4].one1737
branch_diagnostics[1].diagnostics.candidate_counts[4].two1626
branch_diagnostics[1].diagnostics.candidate_counts[5].q_index5
branch_diagnostics[1].diagnostics.candidate_counts[5].zero1
branch_diagnostics[1].diagnostics.candidate_counts[5].one1737
branch_diagnostics[1].diagnostics.candidate_counts[5].two1626
branch_diagnostics[1].diagnostics.candidate_counts[6].q_index6
branch_diagnostics[1].diagnostics.candidate_counts[6].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[7].q_index7
branch_diagnostics[1].diagnostics.candidate_counts[7].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[8].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[8].two1626
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branch_diagnostics[1].diagnostics.candidate_counts[9].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[9].two1668
branch_diagnostics[1].diagnostics.candidate_counts[10].q_index10
branch_diagnostics[1].diagnostics.candidate_counts[10].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[17].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[18].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[19].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[21].q_index21
branch_diagnostics[1].diagnostics.candidate_counts[21].zero1
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branch_diagnostics[1].diagnostics.candidate_counts[22].q_index22
branch_diagnostics[1].diagnostics.candidate_counts[22].zero1
branch_diagnostics[1].diagnostics.candidate_counts[22].one1737
branch_diagnostics[1].diagnostics.candidate_counts[22].two1626
branch_diagnostics[1].diagnostics.candidate_counts[23].q_index23
branch_diagnostics[1].diagnostics.candidate_counts[23].zero1
branch_diagnostics[1].diagnostics.candidate_counts[23].one1737
branch_diagnostics[1].diagnostics.candidate_counts[23].two1626
branch_diagnostics[1].diagnostics.candidate_counts[24].q_index24
branch_diagnostics[1].diagnostics.candidate_counts[24].zero1
branch_diagnostics[1].diagnostics.candidate_counts[24].one1737
branch_diagnostics[1].diagnostics.candidate_counts[24].two1626
branch_diagnostics[1].diagnostics.top_candidates[0].q_index0
branch_diagnostics[1].diagnostics.top_candidates[0].events[]
branch_diagnostics[1].diagnostics.top_candidates[0].mean[0.12654818747415245, 0.00039151504010381225, 0.049796482565181995, 0.02435209700499036, 0.0253961380480622, -0.012518653243699168, 0.011921386328440229, 0.006707386989046263]
branch_diagnostics[1].diagnostics.top_candidates[0].sigma2_raw0.000405674
branch_diagnostics[1].diagnostics.top_candidates[0].sigma20.000405674
branch_diagnostics[1].diagnostics.top_candidates[0].objective-13946.8
branch_diagnostics[1].diagnostics.top_candidates[0].condition_number1.0434
branch_diagnostics[1].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[1].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[1].diagnostics.top_candidates[1].q_index0
branch_diagnostics[1].diagnostics.top_candidates[1].events[[315, 0]]
branch_diagnostics[1].diagnostics.top_candidates[1].mean[0.12651184779806837, 0.0003665727150172728, 0.049816714128874715, 0.024401124341286728, 0.025404123671733045, -0.012577207960669004, 0.011890211049903277, 0.0067535630654260844]
branch_diagnostics[1].diagnostics.top_candidates[1].sigma2_raw0.000403682
branch_diagnostics[1].diagnostics.top_candidates[1].sigma20.000403682
branch_diagnostics[1].diagnostics.top_candidates[1].objective-13936.6
branch_diagnostics[1].diagnostics.top_candidates[1].condition_number1.02801
branch_diagnostics[1].diagnostics.top_candidates[1].objective_gap10.1889
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse7.20255e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse6.60098e-10
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse7.13611e-09
branch_diagnostics[1].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse6.60098e-10
branch_diagnostics[1].diagnostics.top_candidates[2].q_index0
branch_diagnostics[1].diagnostics.top_candidates[2].events[[408, 0]]
branch_diagnostics[1].diagnostics.top_candidates[2].mean[0.12655738244432566, 0.0003629449138895011, 0.04981676834017065, 0.02436860015468731, 0.025376636221864726, -0.012511311195706048, 0.011926073303817696, 0.006691826622737711]
branch_diagnostics[1].diagnostics.top_candidates[2].sigma2_raw0.000403686
branch_diagnostics[1].diagnostics.top_candidates[2].sigma20.000403686
branch_diagnostics[1].diagnostics.top_candidates[2].objective-13936.6
branch_diagnostics[1].diagnostics.top_candidates[2].condition_number1.04808
branch_diagnostics[1].diagnostics.top_candidates[2].objective_gap10.2117
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.42569e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse6.60115e-10
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.42694e-09
branch_diagnostics[1].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse6.60115e-10
branch_diagnostics[1].diagnostics.top_candidates[3].q_index0
branch_diagnostics[1].diagnostics.top_candidates[3].events[[534, 0]]
branch_diagnostics[1].diagnostics.top_candidates[3].mean[0.12655877712628896, 0.0003596425493385087, 0.04982124023844024, 0.02436636085082172, 0.025382320764739136, -0.01249839566235128, 0.01190061375020804, 0.00669574224611739]
branch_diagnostics[1].diagnostics.top_candidates[3].sigma2_raw0.000403714
branch_diagnostics[1].diagnostics.top_candidates[3].sigma20.000403714
branch_diagnostics[1].diagnostics.top_candidates[3].objective-13936.4
branch_diagnostics[1].diagnostics.top_candidates[3].condition_number1.04508
branch_diagnostics[1].diagnostics.top_candidates[3].objective_gap10.3498
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.93777e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.60219e-10
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.94038e-09
branch_diagnostics[1].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.60219e-10
branch_diagnostics[1].diagnostics.top_candidates[4].q_index0
branch_diagnostics[1].diagnostics.top_candidates[4].events[[507, 0]]
branch_diagnostics[1].diagnostics.top_candidates[4].mean[0.1265414955241885, 0.0004302578259166021, 0.04975603200890002, 0.024340201048807217, 0.025411830774039787, -0.012558973864585264, 0.01195891835166885, 0.006720489266897204]
branch_diagnostics[1].diagnostics.top_candidates[4].sigma2_raw0.000403739
branch_diagnostics[1].diagnostics.top_candidates[4].sigma20.000403739
branch_diagnostics[1].diagnostics.top_candidates[4].objective-13936.3
branch_diagnostics[1].diagnostics.top_candidates[4].condition_number1.05089
branch_diagnostics[1].diagnostics.top_candidates[4].objective_gap10.4779
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse4.21688e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.60317e-10
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse4.22376e-09
branch_diagnostics[1].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.60317e-10
branch_diagnostics[1].diagnostics.top_candidates[5].q_index0
branch_diagnostics[1].diagnostics.top_candidates[5].events[[345, 0]]
branch_diagnostics[1].diagnostics.top_candidates[5].mean[0.12653593242650693, 0.0003953965792731242, 0.049796760270104705, 0.02437443795682484, 0.025422668486185605, -0.012514522188831935, 0.011925643223046952, 0.006683100233903142]
branch_diagnostics[1].diagnostics.top_candidates[5].sigma2_raw0.000403752
branch_diagnostics[1].diagnostics.top_candidates[5].sigma20.000403752
branch_diagnostics[1].diagnostics.top_candidates[5].objective-13936.3
branch_diagnostics[1].diagnostics.top_candidates[5].condition_number1.06097
branch_diagnostics[1].diagnostics.top_candidates[5].objective_gap10.5434
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.24185e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse6.60367e-10
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.24333e-09
branch_diagnostics[1].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse6.60367e-10
branch_diagnostics[1].diagnostics.top_candidates[6].q_index0
branch_diagnostics[1].diagnostics.top_candidates[6].events[[297, 0]]
branch_diagnostics[1].diagnostics.top_candidates[6].mean[0.12658453990614438, 0.0003125737090803919, 0.04974837840735034, 0.024286214928628706, 0.025328981987385497, -0.012516084746121533, 0.011895564929333925, 0.006740615643922499]
branch_diagnostics[1].diagnostics.top_candidates[6].sigma2_raw0.000403777
branch_diagnostics[1].diagnostics.top_candidates[6].sigma20.000403777
branch_diagnostics[1].diagnostics.top_candidates[6].objective-13936.1
branch_diagnostics[1].diagnostics.top_candidates[6].condition_number1.06416
branch_diagnostics[1].diagnostics.top_candidates[6].objective_gap10.671
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.25662e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse6.60467e-10
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.27215e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse6.60467e-10
branch_diagnostics[1].diagnostics.top_candidates[7].q_index0
branch_diagnostics[1].diagnostics.top_candidates[7].events[[12, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.1265465697240655, 0.0003861238664991577, 0.049800914417082086, 0.02436178309280074, 0.0253883308365457, -0.01253076092045429, 0.011931581351895712, 0.006719758199129996]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000403798
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000403798
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branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.04245
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap10.7768
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse3.8531e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.6055e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse3.82601e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.6055e-10
branch_diagnostics[1].diagnostics.top_candidates[8].q_index0
branch_diagnostics[1].diagnostics.top_candidates[8].events[[411, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.12654438434774123, 0.00037771861358399566, 0.049814969069479124, 0.024367837043669575, 0.025369018217805368, -0.012523489743301627, 0.011943231603084654, 0.0066989825357159465]
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branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap10.8193
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.32225e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse6.60584e-10
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.31713e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse6.60584e-10
branch_diagnostics[1].diagnostics.top_candidates[9].q_index0
branch_diagnostics[1].diagnostics.top_candidates[9].events[[180, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.12654132939724552, 0.0003890585152688943, 0.0497960189241846, 0.02433999519298348, 0.025410493598689275, -0.012522929125055383, 0.011929462315132859, 0.0067205641972259075]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000403817
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000403817
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13935.9
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.04339
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap10.8761
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse4.11331e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse6.6063e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse4.12382e-10
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse6.6063e-10
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12654818747415245, 0.00039151504010381225, 0.049796482565181995, 0.02435209700499036, 0.0253961380480622, -0.012518653243699168, 0.011921386328440229, 0.006707386989046263]
selected_unquantized.sigma2_raw0.000405674
selected_unquantized.sigma20.000405674
selected_unquantized.objective-13946.8
selected_unquantized.condition_number1.0434
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13946.8
direct_rss1.66164
rss_difference-3.5083e-14
sigma2_floor1.28386e-12
noise_near_floor_indeterminateFalse
max_condition_number12.7274
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1626
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1626
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1626
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1626
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1626
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1626
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1626
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1626
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1668
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1626
candidate_counts[11].q_index11
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core_bytes_without_source_clock43
core_bytes_with_source_clock51
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mean_gain_prepass.selected_gain.alpha_index4
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mean_gain_prepass.selection_objective-13946.8
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mean_gain_prepass.direct_objective-13946.8
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
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mean_gain_prepass.sigma2_floor1.28386e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13935.2
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index5
branch_diagnostics[3].diagnostics.top_candidates[2].events[[175, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.12652274972976707, 0.0003873577396383128, 0.04980821189584325, 0.024331058735977424, 0.02542187380547795, -0.012535132791974516, 0.011899831090050503, 0.0067414383215109]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.00041833
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.00041833
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13899.6
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.60392
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap0.475228
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse2.61961e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.22965e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse2.62093e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse2.13203e-09
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index5
branch_diagnostics[3].diagnostics.top_candidates[3].events[[271, 0]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.12651890734991475, 0.00040282811324666496, 0.049806211875834755, 0.02436851921697442, 0.025399923774958026, -0.012505534254127953, 0.011874099034419097, 0.0067524034301996326]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000418379
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000418379
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13899.4
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.60316
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap0.712729
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.05497e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.07407e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.06916e-10
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse1.0444e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index5
branch_diagnostics[3].diagnostics.top_candidates[4].events[[228, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.1264912604756189, 0.00038635489959572424, 0.04978048711050782, 0.02434129343663542, 0.025385353582403954, -0.012534046379227004, 0.011888949843653383, 0.006727214547379582]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.00042021
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.00042021
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13899.1
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.60534
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap1.00268
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse2.83928e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse7.88714e-10
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse2.83917e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse1.97199e-09
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index5
branch_diagnostics[3].diagnostics.top_candidates[5].events[[297, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.1265612556979474, 0.00031259806720763413, 0.04974785921768016, 0.024286003235461345, 0.02532842230723566, -0.012515493709229065, 0.011861417733832468, 0.006781372748215333]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000420213
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000420213
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13899.1
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.59408
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap1.02086
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.43229e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse8.65638e-10
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.44807e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.3627e-09
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index5
branch_diagnostics[3].diagnostics.top_candidates[6].events[[174, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.12653014716800187, 0.00038764168142390286, 0.04981173818329285, 0.024343349475302284, 0.02540895654060009, -0.012531559193824702, 0.011896362500405747, 0.006726159391101143]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000420227
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000420227
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13899
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.60479
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap1.08804
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse2.10529e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse7.63076e-10
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse2.10489e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse1.89466e-09
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index5
branch_diagnostics[3].diagnostics.top_candidates[7].events[[249, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.12652231651015894, 0.0003955018171947427, 0.04980895569668289, 0.024356730475172905, 0.025410733267545435, -0.012515976305955077, 0.0119026377276553, 0.006743334342620517]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000420324
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000420324
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13898.5
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.60479
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap1.55855
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.00902e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse7.63323e-10
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.01051e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse1.92043e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index5
branch_diagnostics[3].diagnostics.top_candidates[8].events[[348, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.1265187837015263, 0.0004055179960375009, 0.04981667168982635, 0.024369326680015745, 0.025426753446100358, -0.012508792759482875, 0.011924213358076014, 0.006741781496219014]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.000420337
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.000420337
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13898.5
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.58699
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap1.62483
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse2.53619e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse8.05267e-10
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse2.54197e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.64487e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index5
branch_diagnostics[3].diagnostics.top_candidates[9].events[[273, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.12650989306817828, 0.00039641509925409784, 0.04979830865772591, 0.024356832764311585, 0.025398444407764644, -0.012516635721935513, 0.011886394289135866, 0.006745187046600754]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000420362
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000420362
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13898.4
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.60523
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap1.74393
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse5.32538e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse4.82929e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse5.33132e-10
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse1.18598e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode1
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode1
best_by_coupling_flag.0.gain.center_index48
best_by_coupling_flag.0.gain.width_index1
best_by_coupling_flag.0.gain.alpha_index4
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13946.8
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats11.624
best_by_coupling_flag.0.objective_without_gain_penalty-13946.8
best_by_coupling_flag.0.objective_with_gain_penalty-13935.2
best_by_coupling_flag.0.objective_without_coupling_penalty-13935.2
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13935.2
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode1
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode1
best_by_coupling_flag.1.gain.center_index48
best_by_coupling_flag.1.gain.width_index1
best_by_coupling_flag.1.gain.alpha_index4
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13911.7
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats11.624
best_by_coupling_flag.1.objective_without_gain_penalty-13900.1
best_by_coupling_flag.1.objective_with_gain_penalty-13888.5
best_by_coupling_flag.1.objective_without_coupling_penalty-13888.5
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13887.8
best_by_coupling_flag.1.q_index5
best_by_coupling_flag.1.events[[276, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty46.6919
coupling_score_gap_eta1_minus_eta0_with_new_penalty47.3851
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue

C5 非定常平均 / 入力seed 104729

原入力 120 Hz(三者同一SHA)
生成入力WAVを保存
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.162033
[0].acoustic.peak0.496459
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz198.09
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames48
[0].output_f0.positive_median_hz119.804
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.160458
[1].acoustic.peak0.493615
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz196.695
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.969
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.172768
[0].acoustic.peak0.592299
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz190.73
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.912
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.167913
[0].acoustic.peak0.54168
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.8
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00162196
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00162196
[0].mechanism.mean_error.mse.all1.17844e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.17844e-06
[0].mechanism.mean_error.mae.all0.000454649
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000454649
[0].mechanism.mean_error.bias.all-5.39905e-05
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-5.39905e-05
[0].mechanism.variance_error.mse.all1.2553e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.2553e-10
[0].mechanism.variance_error.mae.all1.1204e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.1204e-05
[0].mechanism.variance_error.bias.all1.1204e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.1204e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.936
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168788
[1].acoustic.peak0.528239
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz193.996
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00162196
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00162196
[1].mechanism.mean_error.mse.all1.17844e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.17844e-06
[1].mechanism.mean_error.mae.all0.000454649
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000454649
[1].mechanism.mean_error.bias.all-5.39905e-05
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-5.39905e-05
[1].mechanism.variance_error.mse.all1.2553e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.2553e-10
[1].mechanism.variance_error.mae.all1.1204e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.1204e-05
[1].mechanism.variance_error.bias.all1.1204e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.1204e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.932
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.167913
[0].acoustic.peak0.54168
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz199.8
[0].acoustic.dominant_fft_bin_hz121.094
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz120
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.00162196
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.00162196
[0].mechanism.mean_error.mse.all1.17844e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside1.17844e-06
[0].mechanism.mean_error.mae.all0.000454649
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000454649
[0].mechanism.mean_error.bias.all-5.39905e-05
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside-5.39905e-05
[0].mechanism.variance_error.mse.all1.2553e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.2553e-10
[0].mechanism.variance_error.mae.all1.1204e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.1204e-05
[0].mechanism.variance_error.bias.all1.1204e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.1204e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz119.936
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.168788
[1].acoustic.peak0.528239
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz193.996
[1].acoustic.dominant_fft_bin_hz121.094
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz120
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.00162196
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.00162196
[1].mechanism.mean_error.mse.all1.17844e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside1.17844e-06
[1].mechanism.mean_error.mae.all0.000454649
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000454649
[1].mechanism.mean_error.bias.all-5.39905e-05
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside-5.39905e-05
[1].mechanism.variance_error.mse.all1.2553e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.2553e-10
[1].mechanism.variance_error.mae.all1.1204e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.1204e-05
[1].mechanism.variance_error.bias.all1.1204e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.1204e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz119.932
[1].output_f0.no_positive_f0False
PML(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
WORLD(初回保存参照) · 復号seed 0 / API seedなし
okWAVを保存
平均変動対応版(v2) · 復号seed 0 / API seedなし
okWAVを保存
相互作用対応版(v3) · 復号seed 0 / API seedなし
okWAVを保存
追加復号seedの音声
PML(初回保存参照) · 復号seed 20261015
okWAVを保存
平均変動対応版(v2) · 復号seed 20261015
okWAVを保存
相互作用対応版(v3) · 復号seed 20261015
okWAVを保存
音響量・機構量・F0の保存値

PML(初回保存参照)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.154551
[0].acoustic.peak0.456986
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz208.934
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.65
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.152833
[1].acoustic.peak0.466692
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz209.462
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames50
[1].output_f0.positive_median_hz139.961
[1].output_f0.no_positive_f0False

WORLD(初回保存参照)

記録フィールド値
[0].decode_seed未記録 / 該当なし
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.166706
[0].acoustic.peak0.543601
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz206.067
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.876
[0].output_f0.no_positive_f0False

平均変動対応版(v2)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168628
[0].acoustic.peak0.557349
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz220.179
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0031701
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0031701
[0].mechanism.mean_error.mse.all2.45165e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside2.45165e-06
[0].mechanism.mean_error.mae.all0.000484063
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000484063
[0].mechanism.mean_error.bias.all0.000114888
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000114888
[0].mechanism.variance_error.mse.all1.2553e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.2553e-10
[0].mechanism.variance_error.mae.all1.1204e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.1204e-05
[0].mechanism.variance_error.bias.all1.1204e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.1204e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.931
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.167953
[1].acoustic.peak0.517556
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz222.599
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0031701
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0031701
[1].mechanism.mean_error.mse.all2.45165e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside2.45165e-06
[1].mechanism.mean_error.mae.all0.000484063
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000484063
[1].mechanism.mean_error.bias.all0.000114888
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000114888
[1].mechanism.variance_error.mse.all1.2553e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.2553e-10
[1].mechanism.variance_error.mae.all1.1204e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.1204e-05
[1].mechanism.variance_error.bias.all1.1204e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.1204e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.02
[1].output_f0.no_positive_f0False

相互作用対応版(v3)

記録フィールド値
[0].decode_seed0
[0].statusok
[0].acoustic.n4096
[0].acoustic.fs16000
[0].acoustic.duration_s0.256
[0].acoustic.rms0.168628
[0].acoustic.peak0.557349
[0].acoustic.exceed_positive_one_count0
[0].acoustic.exceed_negative_one_count0
[0].acoustic.exceed_absolute_one_count0
[0].acoustic.spectral_centroid_hz220.179
[0].acoustic.dominant_fft_bin_hz140.625
[0].acoustic.fft_bin_spacing_hz3.90625
[0].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[0].mechanism.condition5
[0].mechanism.hz140
[0].mechanism.spacebefore_common_H
[0].mechanism.kl_truth_to_model_nats_per_sample.all0.0031701
[0].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[0].mechanism.kl_truth_to_model_nats_per_sample.outside0.0031701
[0].mechanism.mean_error.mse.all2.45165e-06
[0].mechanism.mean_error.mse.inside未記録 / 該当なし
[0].mechanism.mean_error.mse.outside2.45165e-06
[0].mechanism.mean_error.mae.all0.000484063
[0].mechanism.mean_error.mae.inside未記録 / 該当なし
[0].mechanism.mean_error.mae.outside0.000484063
[0].mechanism.mean_error.bias.all0.000114888
[0].mechanism.mean_error.bias.inside未記録 / 該当なし
[0].mechanism.mean_error.bias.outside0.000114888
[0].mechanism.variance_error.mse.all1.2553e-10
[0].mechanism.variance_error.mse.inside未記録 / 該当なし
[0].mechanism.variance_error.mse.outside1.2553e-10
[0].mechanism.variance_error.mae.all1.1204e-05
[0].mechanism.variance_error.mae.inside未記録 / 該当なし
[0].mechanism.variance_error.mae.outside1.1204e-05
[0].mechanism.variance_error.bias.all1.1204e-05
[0].mechanism.variance_error.bias.inside未記録 / 該当なし
[0].mechanism.variance_error.bias.outside1.1204e-05
[0].mechanism.q_error.truth[0.0, 0.0]
[0].mechanism.q_error.estimate[0.0, 0.0]
[0].mechanism.q_error.vector_l20
[0].mechanism.q_error.radius_absolute_error0
[0].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[0].mechanism.localized.integrated_variance_truth0
[0].mechanism.localized.integrated_variance_estimate0
[0].mechanism.localized.integrated_variance_error0
[0].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[0].mechanism.localized.centroid_truth_s未記録 / 該当なし
[0].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[0].mechanism.localized.centroid_error_s未記録 / 該当なし
[0].mechanism.localized.outside_integrated_variance0
[0].mechanism.localized.outside_fraction未記録 / 該当なし
[0].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[0].mechanism.localized.true_support_fraction0
[0].mechanism.localized.estimated_nonzero_support_fraction0
[0].mechanism.localized.error.mse.all0
[0].mechanism.localized.error.mse.inside未記録 / 該当なし
[0].mechanism.localized.error.mse.outside0
[0].mechanism.localized.error.mae.all0
[0].mechanism.localized.error.mae.inside未記録 / 該当なし
[0].mechanism.localized.error.mae.outside0
[0].mechanism.localized.error.bias.all0
[0].mechanism.localized.error.bias.inside未記録 / 該当なし
[0].mechanism.localized.error.bias.outside0
[0].mechanism.event_counts.truth0
[0].mechanism.event_counts.estimate0
[0].mechanism.event_counts.signed_count_error0
[0].mechanism.event_counts.excess_count0
[0].mechanism.event_counts.missing_count0
[0].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[0].mechanism.c4_mismatch未記録 / 該当なし
[0].mechanism.coupling_flag0
[0].mechanism.coupling_identification_eligibleFalse
[0].mechanism.coupling_selection_nonidentifiableTrue
[0].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[0].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[0].output_f0.statusok
[0].output_f0.methodpyworld.harvest
[0].output_f0.frames52
[0].output_f0.positive_frames52
[0].output_f0.positive_median_hz139.931
[0].output_f0.no_positive_f0False
[1].decode_seed2.0261e+07
[1].statusok
[1].acoustic.n4096
[1].acoustic.fs16000
[1].acoustic.duration_s0.256
[1].acoustic.rms0.167953
[1].acoustic.peak0.517556
[1].acoustic.exceed_positive_one_count0
[1].acoustic.exceed_negative_one_count0
[1].acoustic.exceed_absolute_one_count0
[1].acoustic.spectral_centroid_hz222.599
[1].acoustic.dominant_fft_bin_hz140.625
[1].acoustic.fft_bin_spacing_hz3.90625
[1].acoustic.spectrum_definitionDC-excluded, mean-removed Hann periodogram power; dominant bin is not F0
[1].mechanism.condition5
[1].mechanism.hz140
[1].mechanism.spacebefore_common_H
[1].mechanism.kl_truth_to_model_nats_per_sample.all0.0031701
[1].mechanism.kl_truth_to_model_nats_per_sample.inside未記録 / 該当なし
[1].mechanism.kl_truth_to_model_nats_per_sample.outside0.0031701
[1].mechanism.mean_error.mse.all2.45165e-06
[1].mechanism.mean_error.mse.inside未記録 / 該当なし
[1].mechanism.mean_error.mse.outside2.45165e-06
[1].mechanism.mean_error.mae.all0.000484063
[1].mechanism.mean_error.mae.inside未記録 / 該当なし
[1].mechanism.mean_error.mae.outside0.000484063
[1].mechanism.mean_error.bias.all0.000114888
[1].mechanism.mean_error.bias.inside未記録 / 該当なし
[1].mechanism.mean_error.bias.outside0.000114888
[1].mechanism.variance_error.mse.all1.2553e-10
[1].mechanism.variance_error.mse.inside未記録 / 該当なし
[1].mechanism.variance_error.mse.outside1.2553e-10
[1].mechanism.variance_error.mae.all1.1204e-05
[1].mechanism.variance_error.mae.inside未記録 / 該当なし
[1].mechanism.variance_error.mae.outside1.1204e-05
[1].mechanism.variance_error.bias.all1.1204e-05
[1].mechanism.variance_error.bias.inside未記録 / 該当なし
[1].mechanism.variance_error.bias.outside1.1204e-05
[1].mechanism.q_error.truth[0.0, 0.0]
[1].mechanism.q_error.estimate[0.0, 0.0]
[1].mechanism.q_error.vector_l20
[1].mechanism.q_error.radius_absolute_error0
[1].mechanism.q_error.phase_absolute_error_rad未記録 / 該当なし
[1].mechanism.localized.integrated_variance_truth0
[1].mechanism.localized.integrated_variance_estimate0
[1].mechanism.localized.integrated_variance_error0
[1].mechanism.localized.integrated_variance_relative_error未記録 / 該当なし
[1].mechanism.localized.centroid_truth_s未記録 / 該当なし
[1].mechanism.localized.centroid_estimate_s未記録 / 該当なし
[1].mechanism.localized.centroid_error_s未記録 / 該当なし
[1].mechanism.localized.outside_integrated_variance0
[1].mechanism.localized.outside_fraction未記録 / 該当なし
[1].mechanism.localized.preonset_integrated_variance未記録 / 該当なし
[1].mechanism.localized.true_support_fraction0
[1].mechanism.localized.estimated_nonzero_support_fraction0
[1].mechanism.localized.error.mse.all0
[1].mechanism.localized.error.mse.inside未記録 / 該当なし
[1].mechanism.localized.error.mse.outside0
[1].mechanism.localized.error.mae.all0
[1].mechanism.localized.error.mae.inside未記録 / 該当なし
[1].mechanism.localized.error.mae.outside0
[1].mechanism.localized.error.bias.all0
[1].mechanism.localized.error.bias.inside未記録 / 該当なし
[1].mechanism.localized.error.bias.outside0
[1].mechanism.event_counts.truth0
[1].mechanism.event_counts.estimate0
[1].mechanism.event_counts.signed_count_error0
[1].mechanism.event_counts.excess_count0
[1].mechanism.event_counts.missing_count0
[1].mechanism.event_counts.noteCounts alone do not establish correct event location or matching.
[1].mechanism.c4_mismatch未記録 / 該当なし
[1].mechanism.coupling_flag0
[1].mechanism.coupling_identification_eligibleFalse
[1].mechanism.coupling_selection_nonidentifiableTrue
[1].mechanism.coupling_truth_if_identifiable未記録 / 該当なし
[1].mechanism.coupling_correct_if_identifiable未記録 / 該当なし
[1].output_f0.statusok
[1].output_f0.methodpyworld.harvest
[1].output_f0.frames52
[1].output_f0.positive_frames52
[1].output_f0.positive_median_hz140.02
[1].output_f0.no_positive_f0False
真値・v2・v3の平均、期待分散、局在分散、96–104ms拡大
保存配列のみ。各量の縦軸は同一例の120/140 Hz・v2/v3で共通、条件間は別尺度。局在増分はη適用後の期待分散。η1ではtarget周期により形・積分・重心が変わり得ます。時刻保持と音量不変は別です。
η別score・q・noise・gain・局在帰属の詳細

平均変動対応版(v2)

記録フィールド値
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12583981457207902, -4.074774969864109e-05, 0.04992708533809073, 0.025235465598092054, 0.024860671009692886, -0.01223778971552965, 0.012610664003330451, 0.0062868037014833286]
selected_unquantized.sigma2_raw0.000411204
selected_unquantized.sigma20.000411204
selected_unquantized.objective-13919.1
selected_unquantized.condition_number1.05533
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13919.1
direct_rss1.68429
rss_difference4.39648e-14
sigma2_floor1.27861e-12
noise_near_floor_indeterminateFalse
max_condition_number12.9437
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12583981457207902, -4.074774969864109e-05, 0.04992708533809073, 0.025235465598092054, 0.024860671009692886, -0.01223778971552965, 0.012610664003330451, 0.0062868037014833286]
top_candidates[0].sigma2_raw0.000411204
top_candidates[0].sigma20.000411204
top_candidates[0].objective-13919.1
top_candidates[0].condition_number1.05533
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].q_index0
top_candidates[1].events[[283, 0]]
top_candidates[1].mean[0.1258761088567786, -4.044300243414501e-05, 0.0498653325048776, 0.025277006538410085, 0.024901863993055454, -0.01232211285854575, 0.012608863989775275, 0.006371312660683461]
top_candidates[1].sigma2_raw0.00040675
top_candidates[1].sigma20.00040675
top_candidates[1].objective-13912.4
top_candidates[1].condition_number1.04083
top_candidates[1].objective_gap6.6218
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.45038e-08
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.32993e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.43146e-08
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.32993e-09
top_candidates[2].q_index0
top_candidates[2].events[[280, 0]]
top_candidates[2].mean[0.12586958319344338, -2.197160143997324e-05, 0.04987044062629203, 0.02526152416016076, 0.0248867075289717, -0.012298649875386968, 0.012614945710702164, 0.00634158840365864]
top_candidates[2].sigma2_raw0.000406899
top_candidates[2].sigma20.000406899
top_candidates[2].objective-13911.7
top_candidates[2].condition_number1.04785
top_candidates[2].objective_gap7.37294
top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.92514e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.33095e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.86284e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.33095e-09
top_candidates[3].q_index0
top_candidates[3].events[[285, 0]]
top_candidates[3].mean[0.12587714562021882, -4.142945321771136e-05, 0.04987947393613492, 0.025256957632814787, 0.02489455131074458, -0.012289086974693946, 0.012611647082454665, 0.006347376118986693]
top_candidates[3].sigma2_raw0.000408685
top_candidates[3].sigma20.000408685
top_candidates[3].objective-13911.4
top_candidates[3].condition_number1.04947
top_candidates[3].objective_gap7.68837
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top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.26191e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.76551e-10
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top_candidates[5].q_index0
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top_candidates[6].q_index0
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top_candidates[9].q_index0
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top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.32753e-08
top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.58308e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock42
core_bytes_with_source_clock50
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index0
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13919.1
mean_gain_prepass.rss1.68429
mean_gain_prepass.sigma20.000411204
mean_gain_prepass.direct_rss1.68429
mean_gain_prepass.rss_difference-3.44169e-14
mean_gain_prepass.direct_objective-13919.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.27861e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
gain_penalty_nats11.624
final_objective-13907.4
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
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branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.58215e-09
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.69347e-08
branch_diagnostics[1].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.58215e-09
branch_diagnostics[1].diagnostics.top_candidates[7].q_index0
branch_diagnostics[1].diagnostics.top_candidates[7].events[[171, 0]]
branch_diagnostics[1].diagnostics.top_candidates[7].mean[0.12585178956066462, -5.5864834462988386e-05, 0.04992244132391635, 0.025217758406253253, 0.024845658068162975, -0.012242229909715303, 0.012602959442210135, 0.00629479722608934]
branch_diagnostics[1].diagnostics.top_candidates[7].sigma2_raw0.000408871
branch_diagnostics[1].diagnostics.top_candidates[7].sigma20.000408871
branch_diagnostics[1].diagnostics.top_candidates[7].objective-13910.5
branch_diagnostics[1].diagnostics.top_candidates[7].condition_number1.0574
branch_diagnostics[1].diagnostics.top_candidates[7].objective_gap8.62007
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse6.61467e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.77112e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse6.61141e-10
branch_diagnostics[1].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.77112e-10
branch_diagnostics[1].diagnostics.top_candidates[8].q_index0
branch_diagnostics[1].diagnostics.top_candidates[8].events[[169, 0]]
branch_diagnostics[1].diagnostics.top_candidates[8].mean[0.12585635636341128, -5.5592076292435726e-05, 0.04992646605033713, 0.02521043512339893, 0.02484309051719399, -0.01224565967328891, 0.012602008478972975, 0.006295917976536249]
branch_diagnostics[1].diagnostics.top_candidates[8].sigma2_raw0.000407185
branch_diagnostics[1].diagnostics.top_candidates[8].sigma20.000407185
branch_diagnostics[1].diagnostics.top_candidates[8].objective-13910.3
branch_diagnostics[1].diagnostics.top_candidates[8].condition_number1.05733
branch_diagnostics[1].diagnostics.top_candidates[8].objective_gap8.80744
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.01752e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.33304e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.01314e-09
branch_diagnostics[1].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.33304e-09
branch_diagnostics[1].diagnostics.top_candidates[9].q_index0
branch_diagnostics[1].diagnostics.top_candidates[9].events[[284, 0]]
branch_diagnostics[1].diagnostics.top_candidates[9].mean[0.1258657443978187, -6.198151307783398e-05, 0.04988089129576925, 0.02529433731460063, 0.024897051288094312, -0.012332188715266784, 0.012605702224276902, 0.006351353467361049]
branch_diagnostics[1].diagnostics.top_candidates[9].sigma2_raw0.000403778
branch_diagnostics[1].diagnostics.top_candidates[9].sigma20.000403778
branch_diagnostics[1].diagnostics.top_candidates[9].objective-13910.2
branch_diagnostics[1].diagnostics.top_candidates[9].condition_number1.05171
branch_diagnostics[1].diagnostics.top_candidates[9].objective_gap8.90826
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.35174e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.58308e-09
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.32753e-08
branch_diagnostics[1].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.58308e-09
branch_diagnostics[1].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[1].diagnostics.core_bytes_without_source_clock42
branch_diagnostics[1].diagnostics.core_bytes_with_source_clock50

相互作用対応版(v3)

記録フィールド値
selected_unquantized.coupling_flag0
selected_unquantized.q_index0
selected_unquantized.events[]
selected_unquantized.mean[0.12583981457207902, -4.074774969864109e-05, 0.04992708533809073, 0.025235465598092054, 0.024860671009692886, -0.01223778971552965, 0.012610664003330451, 0.0062868037014833286]
selected_unquantized.sigma2_raw0.000411204
selected_unquantized.sigma20.000411204
selected_unquantized.objective-13919.1
selected_unquantized.condition_number1.05533
selected_unquantized.objective_gap0
selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
direct_objective-13919.1
direct_rss1.68429
rss_difference4.39648e-14
sigma2_floor1.27861e-12
noise_near_floor_indeterminateFalse
max_condition_number12.9437
candidate_counts[0].q_index0
candidate_counts[0].zero1
candidate_counts[0].one1737
candidate_counts[0].two1590
candidate_counts[1].q_index1
candidate_counts[1].zero1
candidate_counts[1].one1737
candidate_counts[1].two1590
candidate_counts[2].q_index2
candidate_counts[2].zero1
candidate_counts[2].one1737
candidate_counts[2].two1590
candidate_counts[3].q_index3
candidate_counts[3].zero1
candidate_counts[3].one1737
candidate_counts[3].two1626
candidate_counts[4].q_index4
candidate_counts[4].zero1
candidate_counts[4].one1737
candidate_counts[4].two1590
candidate_counts[5].q_index5
candidate_counts[5].zero1
candidate_counts[5].one1737
candidate_counts[5].two1590
candidate_counts[6].q_index6
candidate_counts[6].zero1
candidate_counts[6].one1737
candidate_counts[6].two1590
candidate_counts[7].q_index7
candidate_counts[7].zero1
candidate_counts[7].one1737
candidate_counts[7].two1590
candidate_counts[8].q_index8
candidate_counts[8].zero1
candidate_counts[8].one1737
candidate_counts[8].two1590
candidate_counts[9].q_index9
candidate_counts[9].zero1
candidate_counts[9].one1737
candidate_counts[9].two1590
candidate_counts[10].q_index10
candidate_counts[10].zero1
candidate_counts[10].one1737
candidate_counts[10].two1590
candidate_counts[11].q_index11
candidate_counts[11].zero1
candidate_counts[11].one1737
candidate_counts[11].two1626
candidate_counts[12].q_index12
candidate_counts[12].zero1
candidate_counts[12].one1737
candidate_counts[12].two1590
candidate_counts[13].q_index13
candidate_counts[13].zero1
candidate_counts[13].one1737
candidate_counts[13].two1590
candidate_counts[14].q_index14
candidate_counts[14].zero1
candidate_counts[14].one1737
candidate_counts[14].two1590
candidate_counts[15].q_index15
candidate_counts[15].zero1
candidate_counts[15].one1737
candidate_counts[15].two1590
candidate_counts[16].q_index16
candidate_counts[16].zero1
candidate_counts[16].one1737
candidate_counts[16].two1590
candidate_counts[17].q_index17
candidate_counts[17].zero1
candidate_counts[17].one1737
candidate_counts[17].two1518
candidate_counts[18].q_index18
candidate_counts[18].zero1
candidate_counts[18].one1737
candidate_counts[18].two1626
candidate_counts[19].q_index19
candidate_counts[19].zero1
candidate_counts[19].one1737
candidate_counts[19].two1626
candidate_counts[20].q_index20
candidate_counts[20].zero1
candidate_counts[20].one1737
candidate_counts[20].two1518
candidate_counts[21].q_index21
candidate_counts[21].zero1
candidate_counts[21].one1737
candidate_counts[21].two1518
candidate_counts[22].q_index22
candidate_counts[22].zero1
candidate_counts[22].one1737
candidate_counts[22].two1626
candidate_counts[23].q_index23
candidate_counts[23].zero1
candidate_counts[23].one1737
candidate_counts[23].two1518
candidate_counts[24].q_index24
candidate_counts[24].zero1
candidate_counts[24].one1737
candidate_counts[24].two1626
top_candidates[0].coupling_flag0
top_candidates[0].q_index0
top_candidates[0].events[]
top_candidates[0].mean[0.12583981457207902, -4.074774969864109e-05, 0.04992708533809073, 0.025235465598092054, 0.024860671009692886, -0.01223778971552965, 0.012610664003330451, 0.0062868037014833286]
top_candidates[0].sigma2_raw0.000411204
top_candidates[0].sigma20.000411204
top_candidates[0].objective-13919.1
top_candidates[0].condition_number1.05533
top_candidates[0].objective_gap0
top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
top_candidates[1].coupling_flag0
top_candidates[1].q_index0
top_candidates[1].events[[283, 0]]
top_candidates[1].mean[0.1258761088567786, -4.044300243414501e-05, 0.0498653325048776, 0.025277006538410085, 0.024901863993055454, -0.01232211285854575, 0.012608863989775275, 0.006371312660683461]
top_candidates[1].sigma2_raw0.00040675
top_candidates[1].sigma20.00040675
top_candidates[1].objective-13912.4
top_candidates[1].condition_number1.04083
top_candidates[1].objective_gap6.6218
top_candidates[1].edit_difference_from_selected.120.0.mean_mse1.45038e-08
top_candidates[1].edit_difference_from_selected.120.0.variance_mse1.32993e-09
top_candidates[1].edit_difference_from_selected.140.0.mean_mse1.43146e-08
top_candidates[1].edit_difference_from_selected.140.0.variance_mse1.32993e-09
top_candidates[2].coupling_flag0
top_candidates[2].q_index0
top_candidates[2].events[[280, 0]]
top_candidates[2].mean[0.12586958319344338, -2.197160143997324e-05, 0.04987044062629203, 0.02526152416016076, 0.0248867075289717, -0.012298649875386968, 0.012614945710702164, 0.00634158840365864]
top_candidates[2].sigma2_raw0.000406899
top_candidates[2].sigma20.000406899
top_candidates[2].objective-13911.7
top_candidates[2].condition_number1.04785
top_candidates[2].objective_gap7.37294
top_candidates[2].edit_difference_from_selected.120.0.mean_mse7.92514e-09
top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.33095e-09
top_candidates[2].edit_difference_from_selected.140.0.mean_mse7.86284e-09
top_candidates[2].edit_difference_from_selected.140.0.variance_mse1.33095e-09
top_candidates[3].coupling_flag0
top_candidates[3].q_index0
top_candidates[3].events[[285, 0]]
top_candidates[3].mean[0.12587714562021882, -4.142945321771136e-05, 0.04987947393613492, 0.025256957632814787, 0.02489455131074458, -0.012289086974693946, 0.012611647082454665, 0.006347376118986693]
top_candidates[3].sigma2_raw0.000408685
top_candidates[3].sigma20.000408685
top_candidates[3].objective-13911.4
top_candidates[3].condition_number1.04947
top_candidates[3].objective_gap7.68837
top_candidates[3].edit_difference_from_selected.120.0.mean_mse7.35126e-09
top_candidates[3].edit_difference_from_selected.120.0.variance_mse6.76551e-10
top_candidates[3].edit_difference_from_selected.140.0.mean_mse7.26191e-09
top_candidates[3].edit_difference_from_selected.140.0.variance_mse6.76551e-10
top_candidates[4].coupling_flag0
top_candidates[4].q_index0
top_candidates[4].events[[282, 0]]
top_candidates[4].mean[0.12584201792060126, -1.2002420277235271e-05, 0.049895954391496786, 0.025233640866927455, 0.02487256547822004, -0.012263834156250828, 0.012623618520234187, 0.006305566535749818]
top_candidates[4].sigma2_raw0.000408691
top_candidates[4].sigma20.000408691
top_candidates[4].objective-13911.4
top_candidates[4].condition_number1.05472
top_candidates[4].objective_gap7.7196
top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.95449e-09
top_candidates[4].edit_difference_from_selected.120.0.variance_mse6.76569e-10
top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.97109e-09
top_candidates[4].edit_difference_from_selected.140.0.variance_mse6.76569e-10
top_candidates[5].coupling_flag0
top_candidates[5].q_index0
top_candidates[5].events[[281, 0]]
top_candidates[5].mean[0.12587120113914355, -4.866770693059669e-05, 0.049866527911330984, 0.025294913245420547, 0.02490270576229328, -0.012339668074884099, 0.012607060328322626, 0.006366323011357716]
top_candidates[5].sigma2_raw0.000403592
top_candidates[5].sigma20.000403592
top_candidates[5].objective-13911.1
top_candidates[5].condition_number1.0479
top_candidates[5].objective_gap7.96208
top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.70408e-08
top_candidates[5].edit_difference_from_selected.120.0.variance_mse2.58014e-09
top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.67794e-08
top_candidates[5].edit_difference_from_selected.140.0.variance_mse2.58014e-09
top_candidates[6].coupling_flag0
top_candidates[6].q_index0
top_candidates[6].events[[278, 0]]
top_candidates[6].mean[0.12587166461261426, -4.005057158001288e-05, 0.04986007159377492, 0.025292020688038465, 0.02490051839733947, -0.012336762136715846, 0.012606002507340812, 0.006369701781640051]
top_candidates[6].sigma2_raw0.00040372
top_candidates[6].sigma20.00040372
top_candidates[6].objective-13910.5
top_candidates[6].condition_number1.04539
top_candidates[6].objective_gap8.61227
top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.71742e-08
top_candidates[6].edit_difference_from_selected.120.0.variance_mse2.58215e-09
top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.69347e-08
top_candidates[6].edit_difference_from_selected.140.0.variance_mse2.58215e-09
top_candidates[7].coupling_flag0
top_candidates[7].q_index0
top_candidates[7].events[[171, 0]]
top_candidates[7].mean[0.12585178956066462, -5.5864834462988386e-05, 0.04992244132391635, 0.025217758406253253, 0.024845658068162975, -0.012242229909715303, 0.012602959442210135, 0.00629479722608934]
top_candidates[7].sigma2_raw0.000408871
top_candidates[7].sigma20.000408871
top_candidates[7].objective-13910.5
top_candidates[7].condition_number1.0574
top_candidates[7].objective_gap8.62007
top_candidates[7].edit_difference_from_selected.120.0.mean_mse6.61467e-10
top_candidates[7].edit_difference_from_selected.120.0.variance_mse6.77112e-10
top_candidates[7].edit_difference_from_selected.140.0.mean_mse6.61141e-10
top_candidates[7].edit_difference_from_selected.140.0.variance_mse6.77112e-10
top_candidates[8].coupling_flag0
top_candidates[8].q_index0
top_candidates[8].events[[169, 0]]
top_candidates[8].mean[0.12585635636341128, -5.5592076292435726e-05, 0.04992646605033713, 0.02521043512339893, 0.02484309051719399, -0.01224565967328891, 0.012602008478972975, 0.006295917976536249]
top_candidates[8].sigma2_raw0.000407185
top_candidates[8].sigma20.000407185
top_candidates[8].objective-13910.3
top_candidates[8].condition_number1.05733
top_candidates[8].objective_gap8.80744
top_candidates[8].edit_difference_from_selected.120.0.mean_mse1.01752e-09
top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.33304e-09
top_candidates[8].edit_difference_from_selected.140.0.mean_mse1.01314e-09
top_candidates[8].edit_difference_from_selected.140.0.variance_mse1.33304e-09
top_candidates[9].coupling_flag0
top_candidates[9].q_index0
top_candidates[9].events[[284, 0]]
top_candidates[9].mean[0.1258657443978187, -6.198151307783398e-05, 0.04988089129576925, 0.02529433731460063, 0.024897051288094312, -0.012332188715266784, 0.012605702224276902, 0.006351353467361049]
top_candidates[9].sigma2_raw0.000403778
top_candidates[9].sigma20.000403778
top_candidates[9].objective-13910.2
top_candidates[9].condition_number1.05171
top_candidates[9].objective_gap8.90826
top_candidates[9].edit_difference_from_selected.120.0.mean_mse1.35174e-08
top_candidates[9].edit_difference_from_selected.120.0.variance_mse2.58308e-09
top_candidates[9].edit_difference_from_selected.140.0.mean_mse1.32753e-08
top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.58308e-09
penalty_per_event_nats11.6188
core_bytes_without_source_clock43
core_bytes_with_source_clock51
mean_gain_prepass.selected_gain.mode1
mean_gain_prepass.selected_gain.center_index48
mean_gain_prepass.selected_gain.width_index0
mean_gain_prepass.selected_gain.alpha_index4
mean_gain_prepass.candidate_count1746
mean_gain_prepass.selection_objective-13919.1
mean_gain_prepass.rss1.68429
mean_gain_prepass.sigma20.000411204
mean_gain_prepass.direct_rss1.68429
mean_gain_prepass.rss_difference-3.44169e-14
mean_gain_prepass.direct_objective-13919.1
mean_gain_prepass.profile_formula0.5*(RSS/max(RSS/N,floor)+N*log(max(RSS/N,floor)))
mean_gain_prepass.tie_orderobjective,abs(alpha),width_index,center_index,sign_index(negative first)
mean_gain_prepass.max_condition_number1.21759
mean_gain_prepass.sigma2_floor1.27861e-12
mean_gain_prepass.penalty_appliedFalse
mean_gain_prepass.selected_curve配列 / 詳細は全結果JSON.gzを参照
selected_gain_mode1
selected_coupling_flag0
gain_penalty_nats11.624
final_objective-13907.4
coupling_penalty_nats0.693147
coupling_penalty_interpretationFixed eta0 prior preference; not calibrated posterior or storage-bit MDL
mean_gain_curve配列 / 詳細は全結果JSON.gzを参照
branch_diagnostics[0].mode0
branch_diagnostics[0].coupling_flag0
branch_diagnostics[0].gain.mode0
branch_diagnostics[0].gain.center_index0
branch_diagnostics[0].gain.width_index0
branch_diagnostics[0].gain.alpha_index0
branch_diagnostics[0].gaussian_fit_nll_without_common_constant-10155
branch_diagnostics[0].event_penalty_nats0
branch_diagnostics[0].gain_penalty_nats0
branch_diagnostics[0].objective_without_gain_penalty-10155
branch_diagnostics[0].objective_with_gain_penalty-10155
branch_diagnostics[0].objective_without_coupling_penalty-10155
branch_diagnostics[0].coupling_penalty_nats0
branch_diagnostics[0].objective_with_all_penalties-10155
branch_diagnostics[0].diagnostics.selected_unquantized.coupling_flag0
branch_diagnostics[0].diagnostics.selected_unquantized.q_index10
branch_diagnostics[0].diagnostics.selected_unquantized.events[]
branch_diagnostics[0].diagnostics.selected_unquantized.mean[0.1260851370413004, 0.00012032599463882578, 0.048691400902907724, 0.02483149785219071, 0.02460139660535423, -0.012765826289600594, 0.012864898603397743, 0.005907950152867153]
branch_diagnostics[0].diagnostics.selected_unquantized.sigma2_raw0.00287079
branch_diagnostics[0].diagnostics.selected_unquantized.sigma20.00287079
branch_diagnostics[0].diagnostics.selected_unquantized.objective-10155
branch_diagnostics[0].diagnostics.selected_unquantized.condition_number3.15912
branch_diagnostics[0].diagnostics.selected_unquantized.objective_gap0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[0].diagnostics.selected_unquantized.edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[0].diagnostics.direct_objective-10155
branch_diagnostics[0].diagnostics.direct_rss11.7587
branch_diagnostics[0].diagnostics.rss_difference-3.01981e-14
branch_diagnostics[0].diagnostics.sigma2_floor1.27861e-12
branch_diagnostics[0].diagnostics.noise_near_floor_indeterminateFalse
branch_diagnostics[0].diagnostics.max_condition_number12.3362
branch_diagnostics[0].diagnostics.candidate_counts[0].q_index0
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branch_diagnostics[3].diagnostics.candidate_counts[12].q_index13
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branch_diagnostics[3].diagnostics.candidate_counts[16].q_index17
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branch_diagnostics[3].diagnostics.candidate_counts[21].q_index22
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branch_diagnostics[3].diagnostics.candidate_counts[21].one1737
branch_diagnostics[3].diagnostics.candidate_counts[21].two1626
branch_diagnostics[3].diagnostics.candidate_counts[22].q_index23
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branch_diagnostics[3].diagnostics.candidate_counts[23].q_index24
branch_diagnostics[3].diagnostics.candidate_counts[23].zero0
branch_diagnostics[3].diagnostics.candidate_counts[23].one1737
branch_diagnostics[3].diagnostics.candidate_counts[23].two1626
branch_diagnostics[3].diagnostics.top_candidates[0].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[0].q_index6
branch_diagnostics[3].diagnostics.top_candidates[0].events[[280, 0]]
branch_diagnostics[3].diagnostics.top_candidates[0].mean[0.125913842376885, 2.271503841322637e-05, 0.049870682468276806, 0.02526149151355177, 0.024886174617827342, -0.012297376081615439, 0.012499461602120907, 0.006454936190220111]
branch_diagnostics[3].diagnostics.top_candidates[0].sigma2_raw0.000423271
branch_diagnostics[3].diagnostics.top_candidates[0].sigma20.000423271
branch_diagnostics[3].diagnostics.top_candidates[0].objective-13879.5
branch_diagnostics[3].diagnostics.top_candidates[0].condition_number1.6113
branch_diagnostics[3].diagnostics.top_candidates[0].objective_gap0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.120.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.mean_mse0
branch_diagnostics[3].diagnostics.top_candidates[0].edit_difference_from_selected.140.0.variance_mse0
branch_diagnostics[3].diagnostics.top_candidates[1].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[1].q_index6
branch_diagnostics[3].diagnostics.top_candidates[1].events[[282, 0]]
branch_diagnostics[3].diagnostics.top_candidates[1].mean[0.12588829907928606, 3.510587030646272e-05, 0.04989652178619214, 0.02523348699483027, 0.024871737405447455, -0.012262364847790154, 0.012512190491093861, 0.006422066426596146]
branch_diagnostics[3].diagnostics.top_candidates[1].sigma2_raw0.000425159
branch_diagnostics[3].diagnostics.top_candidates[1].sigma20.000425159
branch_diagnostics[3].diagnostics.top_candidates[1].objective-13879
branch_diagnostics[3].diagnostics.top_candidates[1].condition_number1.60707
branch_diagnostics[3].diagnostics.top_candidates[1].objective_gap0.462849
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.mean_mse3.15694e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.120.0.variance_mse3.13301e-10
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.mean_mse3.09501e-09
branch_diagnostics[3].diagnostics.top_candidates[1].edit_difference_from_selected.140.0.variance_mse4.2911e-10
branch_diagnostics[3].diagnostics.top_candidates[2].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[2].q_index6
branch_diagnostics[3].diagnostics.top_candidates[2].events[[151, 0]]
branch_diagnostics[3].diagnostics.top_candidates[2].mean[0.12589108929625636, -1.2639981262207071e-05, 0.04994803334010518, 0.025238165677775776, 0.02486457544455096, -0.012224775274716762, 0.012506142158613946, 0.006402961215304084]
branch_diagnostics[3].diagnostics.top_candidates[2].sigma2_raw0.000423442
branch_diagnostics[3].diagnostics.top_candidates[2].sigma20.000423442
branch_diagnostics[3].diagnostics.top_candidates[2].objective-13878.6
branch_diagnostics[3].diagnostics.top_candidates[2].condition_number1.60395
branch_diagnostics[3].diagnostics.top_candidates[2].objective_gap0.828448
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.mean_mse1.0567e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.120.0.variance_mse1.90029e-09
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.mean_mse1.05275e-08
branch_diagnostics[3].diagnostics.top_candidates[2].edit_difference_from_selected.140.0.variance_mse3.67751e-09
branch_diagnostics[3].diagnostics.top_candidates[3].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[3].q_index6
branch_diagnostics[3].diagnostics.top_candidates[3].events[[301, 0]]
branch_diagnostics[3].diagnostics.top_candidates[3].mean[0.12588775513464187, -7.2258834675954785e-06, 0.049927616863379466, 0.02524183932398772, 0.024836988088922516, -0.01225487574610287, 0.012499271480378661, 0.006355871144205911]
branch_diagnostics[3].diagnostics.top_candidates[3].sigma2_raw0.000423485
branch_diagnostics[3].diagnostics.top_candidates[3].sigma20.000423485
branch_diagnostics[3].diagnostics.top_candidates[3].objective-13878.4
branch_diagnostics[3].diagnostics.top_candidates[3].condition_number1.56705
branch_diagnostics[3].diagnostics.top_candidates[3].objective_gap1.03558
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.mean_mse1.21251e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.120.0.variance_mse1.90041e-09
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.mean_mse1.20622e-08
branch_diagnostics[3].diagnostics.top_candidates[3].edit_difference_from_selected.140.0.variance_mse3.67793e-09
branch_diagnostics[3].diagnostics.top_candidates[4].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[4].q_index6
branch_diagnostics[3].diagnostics.top_candidates[4].events[[154, 0]]
branch_diagnostics[3].diagnostics.top_candidates[4].mean[0.12588811176353662, -1.9805318920144627e-05, 0.04994800424135175, 0.02523880054970967, 0.02485753161827298, -0.012221156138484079, 0.01250197855798839, 0.006394989241059714]
branch_diagnostics[3].diagnostics.top_candidates[4].sigma2_raw0.000423492
branch_diagnostics[3].diagnostics.top_candidates[4].sigma20.000423492
branch_diagnostics[3].diagnostics.top_candidates[4].objective-13878.4
branch_diagnostics[3].diagnostics.top_candidates[4].condition_number1.6048
branch_diagnostics[3].diagnostics.top_candidates[4].objective_gap1.06861
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.mean_mse1.20834e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.120.0.variance_mse2.01437e-09
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.mean_mse1.20446e-08
branch_diagnostics[3].diagnostics.top_candidates[4].edit_difference_from_selected.140.0.variance_mse3.09067e-09
branch_diagnostics[3].diagnostics.top_candidates[5].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[5].q_index7
branch_diagnostics[3].diagnostics.top_candidates[5].events[[280, 0]]
branch_diagnostics[3].diagnostics.top_candidates[5].mean[0.12586904438708724, 4.102548887021336e-05, 0.049869256904240995, 0.0252619370743066, 0.024887964836459543, -0.012296988482775013, 0.012610725094541555, 0.00650793394364221]
branch_diagnostics[3].diagnostics.top_candidates[5].sigma2_raw0.000424129
branch_diagnostics[3].diagnostics.top_candidates[5].sigma20.000424129
branch_diagnostics[3].diagnostics.top_candidates[5].objective-13878.4
branch_diagnostics[3].diagnostics.top_candidates[5].condition_number1.64408
branch_diagnostics[3].diagnostics.top_candidates[5].objective_gap1.09359
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.mean_mse1.09362e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.120.0.variance_mse4.83061e-09
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.mean_mse1.09029e-08
branch_diagnostics[3].diagnostics.top_candidates[5].edit_difference_from_selected.140.0.variance_mse4.84969e-09
branch_diagnostics[3].diagnostics.top_candidates[6].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[6].q_index6
branch_diagnostics[3].diagnostics.top_candidates[6].events[[283, 0]]
branch_diagnostics[3].diagnostics.top_candidates[6].mean[0.12591879006390766, 2.522766658985931e-06, 0.0498654480124456, 0.025276925625369685, 0.02490148450965089, -0.012321233170242134, 0.012491871430036782, 0.006482671801019043]
branch_diagnostics[3].diagnostics.top_candidates[6].sigma2_raw0.000423602
branch_diagnostics[3].diagnostics.top_candidates[6].sigma20.000423602
branch_diagnostics[3].diagnostics.top_candidates[6].objective-13877.9
branch_diagnostics[3].diagnostics.top_candidates[6].condition_number1.62527
branch_diagnostics[3].diagnostics.top_candidates[6].objective_gap1.60149
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.mean_mse1.4893e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.120.0.variance_mse4.73273e-10
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.mean_mse1.4605e-09
branch_diagnostics[3].diagnostics.top_candidates[6].edit_difference_from_selected.140.0.variance_mse7.02907e-10
branch_diagnostics[3].diagnostics.top_candidates[7].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[7].q_index7
branch_diagnostics[3].diagnostics.top_candidates[7].events[[283, 0]]
branch_diagnostics[3].diagnostics.top_candidates[7].mean[0.12587560232959222, 2.0159250786565246e-05, 0.04986429462943695, 0.02527739187467655, 0.02490285742389213, -0.012320825119813625, 0.012601916595024833, 0.006537153448024221]
branch_diagnostics[3].diagnostics.top_candidates[7].sigma2_raw0.000424245
branch_diagnostics[3].diagnostics.top_candidates[7].sigma20.000424245
branch_diagnostics[3].diagnostics.top_candidates[7].objective-13877.8
branch_diagnostics[3].diagnostics.top_candidates[7].condition_number1.64959
branch_diagnostics[3].diagnostics.top_candidates[7].objective_gap1.65472
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.mean_mse1.2379e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.120.0.variance_mse4.89435e-09
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.mean_mse1.23711e-08
branch_diagnostics[3].diagnostics.top_candidates[7].edit_difference_from_selected.140.0.variance_mse5.78326e-09
branch_diagnostics[3].diagnostics.top_candidates[8].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[8].q_index6
branch_diagnostics[3].diagnostics.top_candidates[8].events[[303, 0]]
branch_diagnostics[3].diagnostics.top_candidates[8].mean[0.12586997566897998, 4.886419778319487e-06, 0.0499103638576725, 0.025235426601510177, 0.02484236168373232, -0.012242354305643976, 0.012485646983103185, 0.006398105914764013]
branch_diagnostics[3].diagnostics.top_candidates[8].sigma2_raw0.00042542
branch_diagnostics[3].diagnostics.top_candidates[8].sigma20.00042542
branch_diagnostics[3].diagnostics.top_candidates[8].objective-13877.7
branch_diagnostics[3].diagnostics.top_candidates[8].condition_number1.57522
branch_diagnostics[3].diagnostics.top_candidates[8].objective_gap1.71749
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.mean_mse8.13672e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.120.0.variance_mse1.43787e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.mean_mse8.07256e-09
branch_diagnostics[3].diagnostics.top_candidates[8].edit_difference_from_selected.140.0.variance_mse2.80103e-09
branch_diagnostics[3].diagnostics.top_candidates[9].coupling_flag1
branch_diagnostics[3].diagnostics.top_candidates[9].q_index6
branch_diagnostics[3].diagnostics.top_candidates[9].events[[153, 0]]
branch_diagnostics[3].diagnostics.top_candidates[9].mean[0.12588858347733886, -8.032070983854165e-07, 0.049938183907571015, 0.025234488722477466, 0.024869197583370847, -0.01223115999771848, 0.012507157521211716, 0.006409343447173606]
branch_diagnostics[3].diagnostics.top_candidates[9].sigma2_raw0.000425423
branch_diagnostics[3].diagnostics.top_candidates[9].sigma20.000425423
branch_diagnostics[3].diagnostics.top_candidates[9].objective-13877.7
branch_diagnostics[3].diagnostics.top_candidates[9].condition_number1.60478
branch_diagnostics[3].diagnostics.top_candidates[9].objective_gap1.73639
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.mean_mse8.39209e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.120.0.variance_mse1.43788e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.mean_mse8.33732e-09
branch_diagnostics[3].diagnostics.top_candidates[9].edit_difference_from_selected.140.0.variance_mse2.80105e-09
branch_diagnostics[3].diagnostics.penalty_per_event_nats11.6188
branch_diagnostics[3].diagnostics.core_bytes_without_source_clock46
branch_diagnostics[3].diagnostics.core_bytes_with_source_clock54
best_by_coupling_flag.0.mode1
best_by_coupling_flag.0.coupling_flag0
best_by_coupling_flag.0.gain.mode1
best_by_coupling_flag.0.gain.center_index48
best_by_coupling_flag.0.gain.width_index0
best_by_coupling_flag.0.gain.alpha_index4
best_by_coupling_flag.0.gaussian_fit_nll_without_common_constant-13919.1
best_by_coupling_flag.0.event_penalty_nats0
best_by_coupling_flag.0.gain_penalty_nats11.624
best_by_coupling_flag.0.objective_without_gain_penalty-13919.1
best_by_coupling_flag.0.objective_with_gain_penalty-13907.4
best_by_coupling_flag.0.objective_without_coupling_penalty-13907.4
best_by_coupling_flag.0.coupling_penalty_nats0
best_by_coupling_flag.0.objective_with_all_penalties-13907.4
best_by_coupling_flag.0.q_index0
best_by_coupling_flag.0.events[]
best_by_coupling_flag.1.mode1
best_by_coupling_flag.1.coupling_flag1
best_by_coupling_flag.1.gain.mode1
best_by_coupling_flag.1.gain.center_index48
best_by_coupling_flag.1.gain.width_index0
best_by_coupling_flag.1.gain.alpha_index4
best_by_coupling_flag.1.gaussian_fit_nll_without_common_constant-13891.1
best_by_coupling_flag.1.event_penalty_nats11.6188
best_by_coupling_flag.1.gain_penalty_nats11.624
best_by_coupling_flag.1.objective_without_gain_penalty-13879.5
best_by_coupling_flag.1.objective_with_gain_penalty-13867.8
best_by_coupling_flag.1.objective_without_coupling_penalty-13867.8
best_by_coupling_flag.1.coupling_penalty_nats0.693147
best_by_coupling_flag.1.objective_with_all_penalties-13867.1
best_by_coupling_flag.1.q_index6
best_by_coupling_flag.1.events[[280, 0]]
coupling_score_gap_eta1_minus_eta0_without_new_penalty39.6134
coupling_score_gap_eta1_minus_eta0_with_new_penalty40.3066
canonical_equivalence.ruleq_index=0 or J=0 maps to eta0 before scoring; shared J0 searched once per gain
canonical_equivalence.eta1_q0_search_skipped_per_gainTrue
canonical_equivalence.eta1_zero_event_aliases_reused_from_eta0_per_gain25
canonical_equivalence.selected_is_nonidentifiableTrue
全実行の集計時間・RTF

単一例RTFは表示しません。v3はη0/η1をfrom-scratch計測。PML/WORLDは初回の歴史的測定、再計測なし。oracle条件・実装・出力数が異なり速度順位は意味しません。

方式 / 出典工程記録数時間記録数合計秒RTF中央値RTF最大
平均変動対応版(v2) candidate解析242455.85389.0626810.5288
平均変動対応版(v2) candidate復号96960.1432820.004553430.0829854
相互作用対応版(v3) candidate解析2424116.69617.225943.0363
相互作用対応版(v3) candidate復号96960.1251370.004757560.0100081
初回保存参照(v1) pml解析24248.324410.70100515.4409
初回保存参照(v1) pml復号96963.527490.119420.880371
初回保存参照(v1) world解析24241.692480.2670550.407747
初回保存参照(v1) world復号48480.1802660.01351190.0236378
照合と来歴
記録フィールド値
reference_source_sha256True
versionsTrue
thread_environmentTrue
pythonTrue
platformTrue
variance_job/truth.pyTrue
variance_job/references.pyTrue
all_24_input_arrays_and_wavs_verified_across_three_rootsTrue

平均変動対応版(v2)

記録フィールド値
statusok
plan.conditions[0, 1, 2, 3, 4, 5]
plan.input_seeds[0, 20261015, 20261019, 104729]
plan.decode_seeds[0, 20261015]
plan.target_hz[120.0, 140.0]
plan.sample_rate16000
plan.n_samples4096
plan.duration_seconds0.256
plan.expected_encodes24
plan.expected_candidate_outputs96
plan.fixed_generation_scale0.1
plan.background_sigma0.02
plan.references_requestedFalse
plan.reference_reuse_policyNo new reference measurements; quote first-run results separately only after input SHA and provenance checks
plan.encoder_cost1746-gain prepass plus both full variance branches from scratch
plan.oracle_asymmetryCandidate receives known phase and H; references estimate F0 normally
provenance.python3.12.14 (main, Sep 29 2026, 15:01:18) [Clang 22.1.3 ]
provenance.platformLinux-6.18.55-x86_64-with-glibc2.41
provenance.versions.numpy2.3.5
provenance.versions.scipy1.17.0
provenance.versions.pyworld0.3.5
provenance.versions.pyreaper0.0.11
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相互作用対応版(v3)

記録フィールド値
statusok
plan.conditions[0, 1, 2, 3, 4, 5]
plan.input_seeds[0, 20261015, 20261019, 104729]
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初回保存参照(v1)

記録フィールド値
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