{
  "record_id": "librispeech_1089-134686-0032",
  "speaker": "librispeech_1089",
  "branch": "F_d1",
  "metric": "estoi",
  "direction": "higher",
  "sample_rate": 16000,
  "interval_start_sample": 0,
  "scored_samples": 65280,
  "scope": "明瞭性の推定。MOS・自然性・話者類似度ではない",
  "scored_output_pcm_float64_sha256": "18c104d57e184b2c8123eee0d50e986273f2e7af76507cbd8be95282e8db57c0",
  "scored_reference_pcm_float64_sha256": "9b38fbad2a5a93430e6bb375c7e8d24794dc5b20ee5b0b5919eb3d5e25949e54",
  "reference_used": true,
  "reference_identity": {
    "member": "records/librispeech_1089-134686-0032/input.npy",
    "bytes": 523648,
    "file_sha256": "cf1d3a15f9864fa36824ce1cb46c161624f17c4e82ba1e8b14109293167293b6",
    "data_sha256": "688fca4389961f6b0bd8deda2592f5b06da201e63eda73f6a6bf6edcf15ab69d",
    "dtype": "<f8",
    "samples": 65440
  },
  "output_identity": {
    "member": "records/librispeech_1089-134686-0032/branches/F_d1/native.npy",
    "bytes": 523648,
    "file_sha256": "c67e0b7749002677c1d9375b73daddcb0c302b8166583a5726f3c40e8587f680",
    "data_sha256": "6d3feed59f3b0a861adf7e7490e089a53b111fe5903d28d97fedecf4d971247a",
    "dtype": "<f8",
    "samples": 65440
  },
  "native_execution": {
    "schema_version": 1,
    "version": "pml-d1-post-native-v1-20261021",
    "postprocessor_version": "linear-hz-natural-first-difference-v1",
    "record": "librispeech_1089-134686-0032",
    "branch": "F_d1",
    "selector": "F",
    "status": "native_succeeded",
    "execution_kind": "new_d1_analysis_save_load_decode",
    "newly_executed": true,
    "completed_stages": [
      "raw_admitted",
      "post_completed",
      "stonemask",
      "cheaptrick",
      "pdd",
      "backend",
      "parameters_constructed",
      "saved",
      "loaded",
      "decoded"
    ],
    "input_provenance": {
      "version": "pml-d1-post-native-v1-20261021",
      "new_source": {
        "schema_version": 1,
        "kind": "actual_library_source_receipt",
        "library_file_id": "libfile_09c74cc2331c81919ee8b267afe44d20",
        "version_number": 0,
        "file_id": "file_00000000eca482308ca288d7f4f6e349",
        "zip_bytes": 315271,
        "zip_sha256": "9c82927ae42b05c4a679599ee904960d4fc67c6d42fd96f1b1dae91861ace3dc",
        "source_manifest_sha256": "ddc57eb6a29a7b4b074de47ca71e4d65f45260bbf23a4f30e192b6c18538a480"
      },
      "source_receipt_sha256": "cf437dcd24104d4e35a1c42ff708d622d114d2d3b48872dc533e56e8e674a97a",
      "reuse_authorization_sha256": "4503c3c20c5544d3e8289bb0ab4bb7c290ebc32c5fa74259e2af81c105800ee3",
      "source_lineage_sha256": "91f3220f96e243bf854053939d797c8c816b2437e696338ec47fd1ecfc96a111",
      "dependency_manifest_sha256": "90fdeacbb4212323b78e991dab2ff4ac6772025e0f6ea534aaa7f3b5e65b7115",
      "input_manifest_sha256": "1f392fc60fbca4003c236f03ffd9edba82b048737f23cf250295c1b4c6c85193",
      "prior_library": {
        "library_file_id": "libfile_c4a085e9297481918bae5d8bbbea6e0f",
        "version_number": 0,
        "file_id": "file_0000000005448230bd4455e2b6278054"
      },
      "prior_envelope": {
        "bytes": 19922354,
        "sha256": "a78bc6019de20a8ff702165b60121c5263324cb0c8c47514a1777498149d0a7a"
      },
      "prior_native_archive": {
        "bytes": 19911267,
        "sha256": "8c402790d826825d87dbadcc7cd908d7747e629c2ea9342dc9408d2c5264dc96"
      },
      "prior_native_FILES_sha256": "12e38db01ed45e964d361024516e4cae3ad21298822317c699a6e72884f4d5e1",
      "prior_materialized_receipt_sha256": "57e6b6368081e59d933a8ec17769a391f761ef234e8df5a929bb02e4c8d15bf1",
      "failure_verdict_sha256": "59beafbf8b432896dc6ea352c7d4801cd31e655c052deeb5b3b017c6ba8d146a",
      "original_failed_status_unchanged": {
        "actual_exit_code": 2,
        "scientific_status": "native_incomplete_scientific_failures",
        "approved_for_quality": false,
        "successful_native_audit_run": false
      },
      "record_input_identity": {
        "path": "records/librispeech_1089-134686-0032/input.npy",
        "bytes": 523648,
        "sha256": "cf1d3a15f9864fa36824ce1cb46c161624f17c4e82ba1e8b14109293167293b6",
        "dtype": "<f8",
        "shape": [
          65440
        ],
        "data_sha256": "688fca4389961f6b0bd8deda2592f5b06da201e63eda73f6a6bf6edcf15ab69d"
      }
    },
    "raw_identity": {
      "path": "records/librispeech_1089-134686-0032/branches/F/raw_f0.npy",
      "bytes": 13216,
      "sha256": "cac1d80915c4d247494b0b045d646994435a22ef8b45e5efca2149f84fbb9d0a",
      "dtype": "<f8",
      "shape": [
        818,
        2
      ],
      "data_sha256": "9b2c8fb7cb56a69e13a8aa9d47d97f79224f1af3568ea77cf63b253310eea34f",
      "raw_time_data_sha256": "03a08b56261e261e14058cff531db63c7babd8ae8f5fb0a6cb7daa3f789b2568"
    },
    "raw_guard": "LF_fixed_J_5ms",
    "seed_analysis": 0,
    "seed_decode": 0,
    "sample_rate": 16000,
    "n_samples": 65440,
    "timing_scope": "this new D1 branch only",
    "frames": 818,
    "timing": {
      "status": "native_succeeded",
      "version": "pml-d1-post-native-v1-20261021",
      "postprocessor_version": "linear-hz-natural-first-difference-v1",
      "seed_analysis": 0,
      "seed_decode": 0,
      "frames": 818,
      "n_samples": 65440,
      "sample_rate": 16000,
      "analysis_encode_save_seconds": 2.3544339940000043,
      "analysis_encode_save_RTF": 0.5756562332518348,
      "decode_seconds": 0.24251990499999465,
      "decode_RTF": 0.05929582029339723,
      "timing_scope": "partial actual post/backend/FWCEP/save RTF from received raw F0; REAPER, local potentials, L/F selection and byte verification/reuse excluded; not end-to-end encoder RTF",
      "saved_NM": "params.pml original packed binary NM before decoder extension/smoothing",
      "waveform": "native.npy unchanged float64; no normalization/clip/trim/alignment"
    },
    "elapsed_seconds": 2.599899902000004
  },
  "alignment": "none",
  "added_gain_normalization": "none",
  "added_silence_removal": "none",
  "added_clip": "none",
  "value": 0.8946128092869208,
  "library": "pystoi",
  "version": "0.4.1",
  "extended": true,
  "reference_required": true,
  "internal_sample_rate": 10000,
  "evaluation_seed": 0,
  "internal_silence_removal_db": 40,
  "warnings": [],
  "normalization": "公式実装の行・列正規化",
  "status": "measured",
  "wall_seconds": 0.03297317600004135,
  "process_cpu_seconds": 0.06898308899999961
}