{ "study_id": "h1-reassignment-observation-20261019", "measurement_status": "completed; interpretation is provided separately in this publication", "measurement_started_utc": "2026-10-19T04:46:50.918232+00:00", "measurement_finished_utc": "2026-10-19T04:47:04.366683+00:00", "measurement_exit_code": 0, "measurement_elapsed_seconds": 13.448201844999858, "runtime": { "python": "3.12.14", "platform": "Linux-6.18.55-x86_64-with-glibc2.41", "numpy": "2.3.5", "scipy": "1.17.0", "matplotlib": "3.10.8" }, "counts": { "mixture_conditions": 64, "component_records": 72, "pair_count": 32, "frame_metric_rows": 32912 }, "timings": { "generation_seconds": 0.034749849008221645, "analysis_seconds": 6.710524763000649, "writing_seconds": 1.0828774429846817, "figure_seconds": 5.577643021999393 }, "frozen_protocol": { "study_id": "h1-reassignment-observation-20261019", "protocol_version": "1.0.2-prerun", "status": "implementation_only_not_measured", "scope": "既知混合による時間観測研究。音質、実音声、再合成、F0編集を評価しない。", "source_documents": [ { "filename": "burst-preserving-h1-minimal-experiment-proposal-20261019.md", "sha256": "caefc832905776ce9511394dcf9ae7f21d24fdc55f5ae8c7f7bebd7efb36c937" }, { "filename": "burst-preserving-research-20261019.md", "sha256": "a27754adda8e7a99f5b3c0461cbbfe6d8464d4ce670deeb0f71d81d15aa56f6e" } ], "dependencies": { "numpy": "2.3.5", "scipy": "1.17.0", "matplotlib": "3.10.8" }, "signal": { "sample_rate_hz": 48000, "samples": 14400, "dtype": "float64", "harmonic_f0_hz": 100, "harmonic_count": 20, "harmonic_rms": 0.02, "harmonic_waveform": "fixed_gain*sum(sin(2*pi*k*100*(n-offset)/fs)/k); zero phases at translated time origin", "harmonic_gain": "calculate once from offset=0 whole-record RMS=0.02; reuse exactly for all offsets without renormalization", "burst_start_sample": 7200, "burst_length_samples": 144, "burst_support_rms": 0.2, "precursor_lead_samples": 480, "precursor_length_samples": 192, "precursor_energy_db_re_burst": -18, "gate_ramp_samples": 24, "gate": "half-sample centered raised-cosine: sin(pi*(j+0.5)/(2*24))**2; reverse for falling ramp", "color_cutoff_hz": 3000, "warmup_samples": 4800, "color_filter": "causal lfilter([1-a],[1,-a]), a=exp(-2*pi*3000/48000), zero initial state", "rng": "numpy.random.Generator(numpy.random.PCG64(seed)).standard_normal", "burst_seeds": [ 1001, 1002, 1003, 1004 ], "precursor_seeds": [ 2001, 2002, 2003, 2004 ], "offset_samples": [ 0, 15, 30, 45, 60, 75, 90, 105 ], "precursor_present": [ false, true ], "mixture_count": 64, "offset_handling": "translate h, b and p together relative to the fixed frame grid; h is evaluated analytically at (n-offset)/fs; event-relative harmonic phases stay fixed", "level_handling": "normalize components once; never normalize mixtures or clip" }, "analysis": { "window_length_samples": 1920, "hop_samples": 120, "fft_length": 2048, "window": "symmetric Hann: 0.5-0.5*cos(2*pi*l/(L-1))", "window_center_samples": 959.5, "frame_index_first": 0, "frame_index_last_inclusive": 120, "frame_start": "m*120-960", "frame_center_samples": "m*120-0.5", "fft_convention": "sum_l x[s_m+l]*w[l]*exp(-2j*pi*k*l/2048); right zero padding", "time_weighted_window": "((l-959.5)/48000)*w[l]", "reassigned_time": "t_m + real(X_tw/X)", "one_sided_weights": "1 at DC/Nyquist, 2 elsewhere", "coefficient_energy": "alpha_k*abs(X)**2/(2048*48000)", "threshold_relative_to_max_full_record_coefficient_energy": 1e-12, "eligible": "finite nonnegative coefficient energy strictly greater than threshold", "low_energy_policy": "common A/B undefined ledger; supplementary A_all uses every finite-energy coefficient", "main_frame_center_roi_seconds": [ 0.1, 0.2 ], "roi_interval": "left closed, right open; identical frame indices for every signal/method", "edge_exclusion_seconds": 0.04, "display_bin_width_samples": 12, "display_interval_seconds": [ 0, 0.3 ], "histogram_rule": "floor(t*fs/12); left closed, right open; t=0.3 is outside", "timing_metrics_use": "all finite defined times, including outside display interval; no clipping", "quantile_rule": "inverse weighted empirical CDF: smallest time with cumulative energy >= q*defined_energy", "onset_quantile": 0.01, "width_quantiles": [ 0.05, 0.95 ], "quantile_interpolation": "none", "ground_truth": "sample time n/fs weighted by component amplitude squared/fs; same quantiles", "support_regions": "half-open sample support intervals, computed on exact assigned times before histogramming", "unknown_energy_policy": "retain raw anomaly counts and explicitly named finite subtotals; unknown total makes official region energies and percentages null; incomplete baseline/present makes paired deltas null and their diagnostic finite-subtotal difference is excluded from formal summaries", "confidence_intervals": "none; four independent seeds, eight dependent placements per seed" }, "storage": { "save_inputs": "eight h offset records shared across seeds; each b/p shifted component and each mixture as float64 .npy", "save_coefficients": false, "retained_observations": "six 1200-bin energy arrays per record, all 121 frame ledgers per method, ROI/full summaries", "reconstruction": "input samples + pinned source + manifest + dependency versions reconstruct complex coefficients", "logical_record_count": 136, "component_record_count": 72, "frame_metric_rows": 32912, "raw_input_bytes": 15667200, "histogram_float_bytes": 7833600, "full_complex_coefficient_arrays_avoided_bytes": 539756800, "expected_total_output": "approximately 50–100 MB, depending on CSV/JSON formatting and PNG sizes" }, "decision": { "primary": "continuous metrics and paired differences; no tuned detection threshold or automatic pass/fail", "interpretation": "burst smearing reduction alone is insufficient; inspect precursor contrast, baseline false energy, undefined/outside energy and placement reversals", "posthoc_changes": "retain original run; record old/new values, reason, seen results and affected scope; use new source lock and output directory" } }, "source_sha256": { "CHANGELOG.md": "223d1019a12c5a99bd7f1abb86e1a0800ecb2076dd58e3b88feeb2a9166fbcf6", "FORMULAS.md": "236fb3609e207f5b15309e1f9da6bc339d1450c79fbbeaa4cf20b7fb47561ce0", "README.md": "24c64ebc51cb3095399d26ac823cf86eb9d6738f92a25a6425478e2b18b3bbd7", "STATIC_REVIEW.md": "908efd84720451819ef5d02ac1506290887e6f8a98351890ecd9d467aca39203", "aggregate.py": "e4508d497cf7b02522498c16865261c4c3c09f26babcd2d37375133b9ce64a94", "freeze.py": "42ca1a8934e59e0f7c69958ef4c7d93b97313c64889eb14cea6c5bbed20acdb7", "generate.py": "c141e815d9e18046fe0bfa28934f15b27fb9eb5ed4d1aec358163909aa5e32e5", "manifest.json": "32576a42fde401055f1cb88fceb83266ec7c449dc53bc68ac9170a644f010e9c", "metrics.py": "be318dec3435b04c00237b633204eb1f562ccb8b95a8374405e8db6185589309", "plotting.py": "c57b30be52c6896de7c108923e975d86a10d7e99214663453099557f641bbd14", "report.py": "1f26437d48e86aaffec110aded3fef3c74f1568d7b5ec0e38e686e223a33a081", "run.py": "07bb433e12e4b2007b40bd467a4fc457ccf99a55b71e8e6fc1d03ecad338c297", "spec.py": "f2a0c7b9341856abb2db48911f738774b23907b8ac7fe190a9287ba099aad04c", "transform.py": "37b46a1fb13c28a44a39c1c033c991894f95c4e5e5780b7213563cee8d755e0d" }, "archived_protocol_status_note_ja": "frozen_protocol内のimplementation_only_not_measuredは測定前に固定した履歴の状態。今回の実行完了状態とは別。", "measurement_stderr": { "bytes": 1907, "sha256": "e66fb37bf1cccc0f29c5ca4f5c1aa8282f0c67469e509f8a40ccface7f53ba0a", "summary_ja": "Matplotlib/Fontconfigの書込み可能キャッシュに関する警告。元stderrは保存。測定プロセスの終了コードは0。原記録の非公開環境パスを含むため本公開物には複製しない。" }, "publication_scope_ja": "数値結果と表示成果物のみ。実装、入力波形、保存分布配列、原ログは配布しない。この公開物だけで元の測定を再実行できるとは主張しない。" }