{
  "schema_version": "4.0",
  "condition": "clean",
  "split": "test",
  "split_trial_count": 6000,
  "trial_id": "test:2830-3980-0073_2300-131720-0015:2830",
  "case_role": "segmented-only speaker-confusion recovery",
  "selection_rule": "Frozen case identity retained from the segmented-only recovery selection; displayed transcripts and WER are re-audited consistently with Whisper large-v3.",
  "selected_candidate": {
    "public_name": "BSRNN-TSE-CDCS-5",
    "conditioning_view": "middle",
    "view_duration_seconds": 2
  },
  "transcripts": {
    "target": "this attitude springs from a false conception of sin the conception that sin is a small matter easily taken care of by good works",
    "bsrnn_tse": "he obtained the desired speed and load with a friction brake also regulated speed but waited for an indicator to verify it",
    "bsrnn_tse_cdcs_5": "this attitude springs from a false conception of sin the conception that sin is a small matter easily taken care of by good works",
    "qwen_tse_ud": "this attitude springs from a false conception of sin the conception that sin is a small matter easily taken care of by good works that we",
    "qwen_tse_fixed_csg": "this attitude springs from a false conception of sin the conception that sin is a small matter easily taken care of by good works that we",
    "qwen_tse_adaptive_csg": "this attitude springs from a false conception of sin the conception that sin is a small matter easily taken care of by good works that we"
  },
  "systems": {
    "bsrnn_tse": {
      "wer_percent": 100,
      "acoustic_switch": 1,
      "speaker_margin": -0.285
    },
    "bsrnn_tse_cdcs_5": {
      "wer_percent": 0,
      "acoustic_switch": 0,
      "speaker_margin": 0.52
    },
    "qwen_tse_ud": {
      "wer_percent": 8.333333333333332,
      "acoustic_switch": 0,
      "speaker_margin": 0.16919167736272556,
      "wer_counts": {
        "substitutions": 0,
        "deletions": 0,
        "insertions": 2,
        "reference_words": 24
      }
    },
    "qwen_tse_fixed_csg": {
      "wer_percent": 8.333333333333332,
      "acoustic_switch": 0,
      "speaker_margin": 0.1720767652356513,
      "wer_counts": {
        "substitutions": 0,
        "deletions": 0,
        "insertions": 2,
        "reference_words": 24
      }
    },
    "qwen_tse_adaptive_csg": {
      "wer_percent": 8.333333333333332,
      "acoustic_switch": 0,
      "speaker_margin": 0.17066573826400178,
      "wer_counts": {
        "substitutions": 0,
        "deletions": 0,
        "insertions": 2,
        "reference_words": 24
      }
    }
  },
  "audio_assets": [
    {
      "role": "target_enrollment",
      "path": "public/assets/audio/clean/segmented/enrollment.wav",
      "sha256": "f0173782c98316ea0fd66441547d95dd07f79bc95c57bef79aa323ea49d9199e"
    },
    {
      "role": "mixture",
      "path": "public/assets/audio/clean/segmented/mixture.wav",
      "sha256": "8c78728f659d7f923ed3a2eaac9a9dae1886f7abf8bfd56b7fc4278fe22d36fc"
    },
    {
      "role": "clean_target_evaluation_only",
      "path": "public/assets/audio/clean/segmented/target.wav",
      "sha256": "40b26b327bde93ffb863bb8511d761c9ef3a9c1e4f5dd2064cc53c5cd22faa62"
    },
    {
      "role": "clean_interferer_evaluation_only",
      "path": "public/assets/audio/clean/segmented/interferer.wav",
      "sha256": "7acb7719ff80f20959ea0cf0314e779ac0730f83e03fab3a37ce967f2ec93751"
    },
    {
      "role": "bsrnn_tse",
      "path": "public/assets/audio/clean/segmented/primary.wav",
      "sha256": "d41e2e295034427311aad1aff7c3a83bf43bbd6a02502488ed4e720a61e75d04"
    },
    {
      "role": "bsrnn_tse_cdcs_5_middle_view",
      "path": "public/assets/audio/clean/segmented/pool-d.wav",
      "sha256": "87a9138833139e6d49cb0df640d1f5cbb92ecf70d1fffaf139108d0f34123596"
    },
    {
      "role": "qwen_tse_ud",
      "path": "public/assets/audio/clean/segmented/qwen-ud.wav",
      "sha256": "22f3de3570762d022d3e849192494311ef1878e3c923aaada9f2430a2309bd51",
      "sample_rate_hz": 24000,
      "duration_seconds": 8.88
    },
    {
      "role": "qwen_tse_fixed_csg",
      "path": "public/assets/audio/clean/segmented/qwen-fixed-csg.wav",
      "sha256": "44806937c4a5dcd173cd7dede38ecb7cb596ca397116fd873e70803fa92e69d2",
      "sample_rate_hz": 24000,
      "duration_seconds": 8.88
    },
    {
      "role": "qwen_tse_adaptive_csg",
      "path": "public/assets/audio/clean/segmented/qwen-adaptive-csg.wav",
      "sha256": "07763e8c9be5cbb8c04d858da7853cc749668d1f976860546061acce8953db9b",
      "sample_rate_hz": 24000,
      "duration_seconds": 8.88
    }
  ],
  "provenance_notes": [
    "The trial and system metrics come from the frozen Clean TEST analysis; displayed transcripts and WER use the completed post-hoc Whisper large-v3 audit of unchanged waveforms.",
    "Clean target and interferer signals are displayed for evaluation and explanation only and are not available to the deployed selector.",
    "The case is explanatory evidence; aggregate claims are based on the complete frozen result tables.",
    "The three Qwen outputs were added from existing Clean TEST artifacts on 2026-10-25, matched by trial identity and exact clean-target/mixture SHA-256; no new inference was run. WER uses the completed config-consistent large-v3 audit, including the separate Clean adaptive-CSG audit."
  ],
  "asr": {
    "model": "openai/whisper-large-v3",
    "revision": "06f233fe06e710322aca913c1bc4249a0d71fce1",
    "task": "English/transcribe",
    "decoding": "greedy",
    "repetition_penalty": 1.1,
    "batch_size": 32
  },
  "reference_protocol": "Config-consistent WER against the clean-target transcript produced by the same Whisper large-v3 configuration."
}