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    },
    {
      "run": "id-f2ac6543d927c5",
      "issue": "ending_not_exact",
      "stage": 3,
      "profile": "rnnoise"
    },
    {
      "run": "id-b6799400e81406",
      "issue": "ending_not_exact",
      "stage": 2,
      "profile": "rms22"
    },
    {
      "run": "id-b3d313d0214744",
      "issue": "ending_not_exact",
      "stage": 5,
      "profile": "250"
    },
    {
      "run": "id-c710bce3cfd25a",
      "issue": "ending_not_exact",
      "stage": 2,
      "profile": "rms22"
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    {
      "run": "id-dc67fed80b3bb7",
      "issue": "ending_not_exact",
      "stage": 3,
      "profile": "none"
    },
    {
      "run": "id-c8c3118cf8749e",
      "issue": "ending_not_exact",
      "stage": 4,
      "profile": "causal"
    },
    {
      "run": "id-37809bf1b35d5a",
      "issue": "ending_not_exact",
      "stage": 1,
      "profile": "echo_on"
    },
    {
      "run": "id-e360b0e4cd3a55",
      "issue": "ending_not_exact",
      "stage": 6,
      "profile": "1000"
    },
    {
      "run": "id-27cf1f40f60971",
      "issue": "ending_not_exact",
      "stage": 7,
      "profile": "baseline"
    },
    {
      "run": "id-2ad1bbf8f43b0c",
      "issue": "full_refusal",
      "stage": 7,
      "profile": "baseline",
      "measured_wer": 1.0,
      "reasons": []
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    {
      "run": "id-2ad1bbf8f43b0c",
      "issue": "ending_not_exact",
      "stage": 7,
      "profile": "baseline"
    },
    {
      "run": "id-7dc497ba00a87c",
      "issue": "ending_not_exact",
      "stage": 4,
      "profile": "causal"
    },
    {
      "run": "id-1802d5d87721aa",
      "issue": "ending_not_exact",
      "stage": 2,
      "profile": "rms22"
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    {
      "run": "id-8b526a06b37a5c",
      "issue": "ending_not_exact",
      "stage": 2,
      "profile": "baseline"
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    {
      "run": "id-00802f4ab4e974",
      "issue": "ending_not_exact",
      "stage": 4,
      "profile": "causal"
    },
    {
      "run": "id-39920185a57666",
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      "profile": "combined",
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    {
      "run": "id-39920185a57666",
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      "profile": "combined"
    },
    {
      "run": "id-fe3c33e3ca120b",
      "issue": "full_refusal",
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      "profile": "native",
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      "reasons": [
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          "result_type": "error",
          "session_id": "id-d131543cbb7b00",
          "stream_id": "id-dbc21194d29591",
          "phrase_id": "id-fbf547e1a33536",
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          "code": "audio_queue_overflow",
          "traceparent": "00-c58d31b1af71c6a322f1def0ca82b0ee-96fd5696d8e097be-01",
          "timings": {
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              "worker_queue_ms": 0.7626134902238846,
              "worker_decode_ms": 1777.20813639462,
              "decode_count": 11,
              "otel_trace_id": "c58d31b1af71c6a322f1def0ca82b0ee",
              "otel_span_id": "648a1bedbc08bb6b",
              "last_speech_to_final_ms": 8.914344012737274
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          "text": "",
          "timings": {
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            "asr": {
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            }
          },
          "code": "bridge_failure"
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    {
      "run": "id-fe3c33e3ca120b",
      "issue": "ending_not_exact",
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      "profile": "native"
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    {
      "run": "id-4b4a8658d25152",
      "issue": "ending_not_exact",
      "stage": 4,
      "profile": "native_agc"
    },
    {
      "run": "id-2d26b2b0166439",
      "issue": "ending_not_exact",
      "stage": 6,
      "profile": "1000"
    },
    {
      "run": "id-fe0a200ea42733",
      "issue": "ending_not_exact",
      "stage": 5,
      "profile": "450"
    },
    {
      "run": "id-8b85a6962a44de",
      "issue": "full_refusal",
      "stage": 3,
      "profile": "native",
      "measured_wer": 1.0,
      "reasons": []
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    {
      "run": "id-8b85a6962a44de",
      "issue": "ending_not_exact",
      "stage": 3,
      "profile": "native"
    },
    {
      "run": "id-8844937f78f5ed",
      "issue": "ending_not_exact",
      "stage": 3,
      "profile": "native"
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  ],
  "measured_scheduler_boundary_file": "results/isolated-boundaries.json",
  "limitations": [
    "Synthetic acoustic path only; physical room echo not validated",
    "One screening repetition does not prove a statistical improvement",
    "Intermediate quality is a separate control re-decode; latency is never reused",
    "Decode includes runtime work, not pure GPU time",
    "Stage 6 END/abort/overflow races have separate deterministic scheduler evidence; acoustic live runs do not prove exact overlap"
  ],
  "long_repetition_control_rejection": {
    "control_run": "id-1a1b033240b348",
    "compression_ratio": 2.5174825174825175,
    "reasons": [
      "compression_ratio_out_of_range"
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    "rejected_hypothesis_wer": 0.35135135135135137,
    "actual_final_wer": 1.0,
    "scope": "offline full-window control only; rejected hypothesis is not an accepted result"
  },
  "narratives": [
    {
      "stage": 1,
      "title": "Микрофон и эхо",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: echo_on, 61.1% при CER 59.6%. Само это число не отменяет остальных критериев отбора.",
        "Выбран echo_on: WER 61.1%, CER 59.6%; верно распознано 21 из 54 слов, 9 из 12 чисел и 0 из 3 TEST-кодов. Полных отказов: 0; ложных final: 0; дублей: 0. Медиана последняя речь → final: 768 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "Подключение muted: getUserMedia вызван 0 раз. После mute трек: ended; при повторном включении транспорт тот же: True. Поздно полученные треки после отмены: ['ended'].",
        "Изменение действующего трека через exact applyConstraints отклонено для echoCancellation, noiseSuppression, autoGainControl. Это фактическое ограничение этого Chrome/источника. Профили для акустических сравнений получены новым getUserMedia и проверены через getSettings; успешная смена параметров на действующем треке не заявляется.",
        "Синтетическое эхо: ослабление RMS после Chrome с AEC относительно без AEC — 72.2 дБ; по 3 / 3 запусков. AGC одинаково отключён. Это внешний показатель стенда, не ERLE и не проверка комнаты.",
        "Сохранность своей речи при эхе остаётся слабым местом: WER с AEC 61.1%. Выполнение ориентира по ослаблению эха не означает, что полный критерий качества одновременной речи достигнут."
      ],
      "selected": "echo_on",
      "rejected": {
        "echo_off": [
          "new_false_finals",
          "new_splits_or_finals",
          "new_full_refusal",
          "numbers_or_codes_degraded"
        ]
      },
      "statistics": [
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          "cer": 0.7104377104377104,
          "false_finals": 6,
          "full_refusals": 1,
          "scored_trials": 3,
          "intentional_aborts": 0,
          "reference_words": 54,
          "correct_words": 14,
          "correct_numbers": 8,
          "reference_numbers": 12,
          "correct_codes": 0,
          "reference_codes": 3,
          "duplicate_finals": 0,
          "errors": 0,
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          "terminal_error_codes": [
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            "bridge_failure"
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          "timed_final_trials": 5,
          "final_p50_ms": 666.1063972860575,
          "final_min_ms": 644.3984396755695,
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          "decode_count": 76
        },
        {
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          "wer": 0.6111111111111112,
          "cer": 0.5959595959595959,
          "false_finals": 0,
          "full_refusals": 0,
          "scored_trials": 3,
          "intentional_aborts": 0,
          "reference_words": 54,
          "correct_words": 21,
          "correct_numbers": 9,
          "reference_numbers": 12,
          "correct_codes": 0,
          "reference_codes": 3,
          "duplicate_finals": 0,
          "errors": 0,
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          "timed_final_trials": 3,
          "final_p50_ms": 768.0222541093826,
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    {
      "stage": 2,
      "title": "Тихая речь",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: rms24, 36.0% при CER 21.4%. Само это число не отменяет остальных критериев отбора.",
        "Выбран baseline: WER 37.4%, CER 23.1%; верно распознано 135 из 203 слов, 4 из 4 чисел и 0 из 1 TEST-кодов. Полных отказов: 0; ложных final: 0; дублей: 0. Медиана последняя речь → final: 676 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "Тихая обычная речь и числа/коды вместе: baseline 45.5%, rms24 45.5%, rms22 41.8%. Оценка включает полные отказы и не заменяет слова цифрами при расчёте WER.",
        "В тихой фразе baseline сохранил 4 из 4 числовых значений, но 0 из 1 TEST-кодов. Замена записи «тысяча километров» на «1000 км» тоже влияет на строгий WER; поэтому числа, код и буквальный текст показаны раздельно."
      ],
      "selected": "baseline",
      "rejected": {
        "rms24": [
          "quiet_improvement_below_20_percent"
        ],
        "rms22": [
          "quiet_improvement_below_20_percent"
        ]
      },
      "statistics": [
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          "stage": 2,
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          "false_finals": 0,
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          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 203,
          "correct_words": 135,
          "correct_numbers": 4,
          "reference_numbers": 4,
          "correct_codes": 0,
          "reference_codes": 1,
          "duplicate_finals": 0,
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          "timed_final_trials": 6,
          "final_p50_ms": 676.2350238859653,
          "final_min_ms": 666.0593934357166,
          "final_max_ms": 703.7342861294746,
          "decode_count": 162
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        {
          "stage": 2,
          "profile": "rms22",
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          "wer": 0.37438423645320196,
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          "false_finals": 0,
          "full_refusals": 0,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 203,
          "correct_words": 136,
          "correct_numbers": 4,
          "reference_numbers": 4,
          "correct_codes": 0,
          "reference_codes": 1,
          "duplicate_finals": 0,
          "errors": 0,
          "terminal_error_runs": 0,
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          "timed_final_trials": 6,
          "final_p50_ms": 679.3657364323735,
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        {
          "stage": 2,
          "profile": "rms24",
          "n": 6,
          "wer": 0.35960591133004927,
          "cer": 0.21390374331550802,
          "false_finals": 0,
          "full_refusals": 0,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 203,
          "correct_words": 138,
          "correct_numbers": 4,
          "reference_numbers": 4,
          "correct_codes": 0,
          "reference_codes": 1,
          "duplicate_finals": 0,
          "errors": 0,
          "terminal_error_runs": 0,
          "terminal_error_codes": [],
          "capture_incomplete": 0,
          "timed_final_trials": 6,
          "final_p50_ms": 671.9748312607408,
          "final_min_ms": 668.3018133044243,
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    },
    {
      "stage": 3,
      "title": "Шумоподавление",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: none, 82.0% при CER 68.3%. Само это число не отменяет остальных критериев отбора.",
        "Выбран native: WER 83.8%, CER 71.6%; верно распознано 41 из 222 слов, 0 из 0 чисел и 0 из 0 TEST-кодов. Полных отказов: 2; ложных final: 0; дублей: 0. Медиана последняя речь → final: 671 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "На чистом синтетическом шуме native снизил RMS выходной записи на 16.5 дБ относительно варианта без NS; ложных final — 0. Это сравнение полного захвата одинаковой длительности, не оценка раздельных компонентов смеси речи и шума. Сильнее подавить чистый шум не означает лучше сохранить слова в смеси.",
        "На чистом синтетическом шуме rnnoise снизил RMS выходной записи на 31.3 дБ относительно варианта без NS; ложных final — 0. Это сравнение полного захвата одинаковой длительности, не оценка раздельных компонентов смеси речи и шума. Сильнее подавить чистый шум не означает лучше сохранить слова в смеси.",
        "Вход snr15, none: изменение уровня неречевых участков после Chrome + Worklet -0.1 дБ; речевых участков -14.0 дБ. Это оценка по маске исходника и выравниванию огибающих; падение уровня речи не равно количеству потерянных слов.",
        "Вход snr15, native: изменение уровня неречевых участков после Chrome + Worklet -6.5 дБ; речевых участков -21.1 дБ. Это оценка по маске исходника и выравниванию огибающих; падение уровня речи не равно количеству потерянных слов.",
        "Вход snr15, rnnoise: изменение уровня неречевых участков после Chrome + Worklet -3.2 дБ; речевых участков -16.6 дБ. Это оценка по маске исходника и выравниванию огибающих; падение уровня речи не равно количеству потерянных слов."
      ],
      "selected": "native",
      "rejected": {
        "none": [
          "new_splits_or_finals",
          "clean_codes_or_endings_degraded"
        ],
        "rnnoise": [
          "new_splits_or_finals",
          "clean_codes_or_endings_degraded",
          "no_noise_wer_improvement"
        ]
      },
      "statistics": [
        {
          "stage": 3,
          "profile": "native",
          "n": 8,
          "wer": 0.8378378378378378,
          "cer": 0.7155647382920111,
          "false_finals": 0,
          "full_refusals": 2,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 41,
          "correct_numbers": 0,
          "reference_numbers": 0,
          "correct_codes": 0,
          "reference_codes": 0,
          "duplicate_finals": 0,
          "errors": 0,
          "terminal_error_runs": 1,
          "terminal_error_codes": [
            "audio_queue_overflow",
            "bridge_failure"
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          "capture_incomplete": 0,
          "timed_final_trials": 4,
          "final_p50_ms": 670.5093719065189,
          "final_min_ms": 648.7707663327456,
          "final_max_ms": 713.8287015259266,
          "decode_count": 117
        },
        {
          "stage": 3,
          "profile": "none",
          "n": 8,
          "wer": 0.8198198198198198,
          "cer": 0.6825068870523416,
          "false_finals": 0,
          "full_refusals": 1,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 45,
          "correct_numbers": 0,
          "reference_numbers": 0,
          "correct_codes": 0,
          "reference_codes": 0,
          "duplicate_finals": 0,
          "errors": 0,
          "terminal_error_runs": 1,
          "terminal_error_codes": [
            "audio_queue_overflow",
            "bridge_failure"
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          "capture_incomplete": 0,
          "timed_final_trials": 5,
          "final_p50_ms": 683.1254921853542,
          "final_min_ms": 647.7418467402458,
          "final_max_ms": 718.667533248663,
          "decode_count": 130
        },
        {
          "stage": 3,
          "profile": "rnnoise",
          "n": 8,
          "wer": 0.8603603603603603,
          "cer": 0.7334710743801653,
          "false_finals": 0,
          "full_refusals": 1,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 35,
          "correct_numbers": 0,
          "reference_numbers": 0,
          "correct_codes": 0,
          "reference_codes": 0,
          "duplicate_finals": 0,
          "errors": 0,
          "terminal_error_runs": 1,
          "terminal_error_codes": [
            "audio_queue_overflow",
            "bridge_failure"
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          "capture_incomplete": 0,
          "timed_final_trials": 5,
          "final_p50_ms": 668.0963970720768,
          "final_min_ms": 638.4422443807125,
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    },
    {
      "stage": 4,
      "title": "Подстройка уровня",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: native_agc, 42.3% при CER 24.8%. Само это число не отменяет остальных критериев отбора.",
        "Выбран native_agc: WER 42.3%, CER 24.8%; верно распознано 141 из 222 слов, 0 из 0 чисел и 0 из 0 TEST-кодов. Полных отказов: 0; ложных final: 0; дублей: 0. Медиана последняя речь → final: 677 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "Собственный регулятор: максимальное усиление участка, определённого независимой маской как пауза, +17.3 дБ; незавершённых подстроек дольше секунды: 0. Даже быстрая сходимость к собственной цели не доказывает правильность разделения речи и шума.",
        "Дополнительная проверка заведомо нулевого входа: усиление больше 0,1 дБ найдено в 2 из 6 случаев; максимум +16.4 дБ. Используется выравнивание с шагом 20 мс и защита 100 мс у границ. Энергетическая маска реальных записей может относить тихую речь к паузе, поэтому обе оценки сохранены отдельно."
      ],
      "selected": "native_agc",
      "rejected": {
        "fixed": [
          "new_splits_or_finals",
          "clean_codes_or_endings_degraded"
        ],
        "causal": [
          "clean_codes_or_endings_degraded",
          "source_pause_amplification"
        ]
      },
      "statistics": [
        {
          "stage": 4,
          "profile": "causal",
          "n": 6,
          "wer": 0.5225225225225225,
          "cer": 0.3023415977961432,
          "false_finals": 0,
          "full_refusals": 0,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 118,
          "correct_numbers": 0,
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          "correct_codes": 0,
          "reference_codes": 0,
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          "timed_final_trials": 6,
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          "final_min_ms": 672.9392018169165,
          "final_max_ms": 753.5087279975414,
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        {
          "stage": 4,
          "profile": "fixed",
          "n": 6,
          "wer": 0.44594594594594594,
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          "false_finals": 0,
          "full_refusals": 0,
          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 135,
          "correct_numbers": 0,
          "reference_numbers": 0,
          "correct_codes": 0,
          "reference_codes": 0,
          "duplicate_finals": 0,
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          "terminal_error_runs": 0,
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          "timed_final_trials": 6,
          "final_p50_ms": 690.3958087787032,
          "final_min_ms": 666.6546799242496,
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        {
          "stage": 4,
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          "false_finals": 0,
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          "scored_trials": 6,
          "intentional_aborts": 0,
          "reference_words": 222,
          "correct_words": 141,
          "correct_numbers": 0,
          "reference_numbers": 0,
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          "reference_codes": 0,
          "duplicate_finals": 0,
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          "timed_final_trials": 6,
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          "final_min_ms": 663.9434397220612,
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      ]
    },
    {
      "stage": 5,
      "title": "Завершение фразы",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: 450, 20.4% при CER 17.4%. Само это число не отменяет остальных критериев отбора.",
        "Выбран 450: WER 20.4%, CER 17.4%; верно распознано 126 из 157 слов, 8 из 8 чисел и 0 из 2 TEST-кодов. Полных отказов: 0; ложных final: 0; дублей: 0. Медиана последняя речь → final: 671 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "Пауза 450 мс: 7 из 8 входов дали больше final, чем заранее задано фраз. Проверка сравнивает и baseline, и абсолютную ожидаемую границу.",
        "Пауза 300 мс: 8 из 8 входов дали больше final, чем заранее задано фраз. Проверка сравнивает и baseline, и абсолютную ожидаемую границу.",
        "Пауза 250 мс: 8 из 8 входов дали больше final, чем заранее задано фраз. Проверка сравнивает и baseline, и абсолютную ожидаемую границу.",
        "Граница интерпретации вставок: 200 мс → приблизительно 420 мс общего тихого участка, 350 мс → приблизительно 570 мс общего тихого участка, 650 мс → приблизительно 870 мс общего тихого участка. Исходная тихая граница около 220 мс сохранена; это оценка по энергии с шагом 20 мс, не точная разметка Silero. Поэтому эти входы не названы чистыми паузами 200/350/650 мс."
      ],
      "selected": "450",
      "rejected": {
        "300": [
          "new_splits_or_finals",
          "new_phrase_splits",
          "question_split_against_declared_reference"
        ],
        "250": [
          "new_splits_or_finals",
          "new_phrase_splits",
          "question_split_against_declared_reference"
        ]
      },
      "statistics": [
        {
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          "scored_trials": 8,
          "intentional_aborts": 0,
          "reference_words": 157,
          "correct_words": 125,
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          "duplicate_finals": 0,
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          "timed_final_trials": 8,
          "final_p50_ms": 440.90111274272203,
          "final_min_ms": 418.3173570781946,
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          "scored_trials": 8,
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          "reference_words": 157,
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          "reference_numbers": 8,
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          "timed_final_trials": 8,
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          "final_min_ms": 490.2112130075693,
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        {
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    {
      "stage": 6,
      "title": "Whisper и отказы",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: 500, 25.2% при CER 15.5%. Само это число не отменяет остальных критериев отбора.",
        "Выбран 500: WER 25.2%, CER 15.5%; верно распознано 108 из 139 слов, 0 из 0 чисел и 0 из 0 TEST-кодов. Полных отказов: 0; ложных final: 0; дублей: 0. Медиана последняя речь → final: 662 мс.",
        "Ни один другой кандидат не прошёл все согласованные критерии. Сохраняем baseline; меньший отдельный WER не оправдывает потери окончаний, чисел, разрезание вопроса или отказ.",
        "Длинный вход, interval 500 мс: decode 59; повторно обработано 121.32 с аудио; WER 32.4%; ожидание успешного final 680 мс. Отсутствующий final не считается ускорением.",
        "Длинный вход, interval 800 мс: decode 42; повторно обработано 75.60 с аудио; WER 32.4%; ожидание успешного final 670 мс. Отсутствующий final не считается ускорением.",
        "На этом длинном входе 800 мс уменьшил число decode на 28.8% относительно 500 мс. Пригодность общего режима проверяется также на тихой речи и остальных случаях, а не только на этой экономии.",
        "Длинный вход, interval 1000 мс: decode 39; повторно обработано 70.76 с аудио; WER 33.8%; ожидание успешного final 672 мс. Отсутствующий final не считается ускорением.",
        "На этом длинном входе 1000 мс уменьшил число decode на 33.9% относительно 500 мс. Пригодность общего режима проверяется также на тихой речи и остальных случаях, а не только на этой экономии.",
        "Цена серверного съёма, taps: final 709 мс; сумма decode 2405 мс; полный запуск со сбором диагностики 23133 мс; WER 55.6%. По одному запуску на вариант; это наблюдение, а не доказанная величина накладных расходов. Browser capture и диагностический decoder присутствуют в обоих вариантах.",
        "Цена серверного съёма, no_taps: final 784 мс; сумма decode 2369 мс; полный запуск со сбором диагностики 14594 мс; WER 55.6%. По одному запуску на вариант; это наблюдение, а не доказанная величина накладных расходов. Browser capture и диагностический decoder присутствуют в обоих вариантах.",
        "Полное контрольное окно длинной повторённой фразы отклонено: compression_ratio_out_of_range; compression_ratio 2.52. У отклонённой гипотезы WER 35.1%, но фактический результат — отказ и WER 100.0%. Этот пример относится к полному контрольному re-decode: online-вариант дал текст. Поэтому переход к полному окну сам по себе не гарантирует улучшения."
      ],
      "selected": "500",
      "rejected": {
        "800": [
          "clean_codes_or_endings_degraded"
        ],
        "1000": [
          "clean_codes_or_endings_degraded"
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      },
      "statistics": [
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          "stage": 6,
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          "reference_words": 139,
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          "reference_codes": 0,
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          "final_p50_ms": 666.1147885024548,
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        {
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          "reference_words": 18,
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          "correct_numbers": 4,
          "reference_numbers": 4,
          "correct_codes": 0,
          "reference_codes": 1,
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          "final_min_ms": 784.0333878993988,
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          "reference_words": 18,
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          "correct_codes": 0,
          "reference_codes": 1,
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          "final_p50_ms": 708.8331952691078,
          "final_min_ms": 708.8331952691078,
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    {
      "stage": 7,
      "title": "Общая комбинация: отложенный контроль",
      "paragraphs": [
        "Наименьший суммарный online WER в сопоставимых ветках этапа: baseline, 52.6% при CER 41.7%. Само это число не отменяет остальных критериев отбора.",
        "Выбран baseline: WER 52.6%, CER 41.7%; верно распознано 213 из 441 слов, 12 из 12 чисел и 0 из 3 TEST-кодов. Полных отказов: 4; ложных final: 0; дублей: 0. Медиана последняя речь → final: 660 мс.",
        "Общая комбинация не прошла отложенный контроль: held_out_wer_regression, lost_ending, new_full_refusal, new_terminal_asr_error.",
        "После индивидуального отбора фактические параметры общей комбинации совпали с baseline. Штатный AGC в baseline включён значением Chrome по умолчанию, а в комбинации запрошен явно; getSettings подтверждает одинаковое значение. Парные прогоны показывают повторяемость тракта; различие результатов не приписывается изменению настройки, которого не было."
      ],
      "selected": "baseline",
      "rejected": {},
      "statistics": [
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          "wer": 0.5260770975056689,
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          "false_finals": 0,
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          "scored_trials": 18,
          "intentional_aborts": 0,
          "reference_words": 441,
          "correct_words": 213,
          "correct_numbers": 12,
          "reference_numbers": 12,
          "correct_codes": 0,
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          "capture_incomplete": 0,
          "timed_final_trials": 14,
          "final_p50_ms": 659.8912691697478,
          "final_min_ms": 632.633225992322,
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        {
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          "false_finals": 0,
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          "reference_words": 441,
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          "correct_numbers": 12,
          "reference_numbers": 12,
          "correct_codes": 0,
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    },
    {
      "run": "id-7919c039d93f3a",
      "stage": 3,
      "scenario": 3,
      "profile": "rnnoise",
      "codes": [
        "audio_queue_overflow",
        "bridge_failure"
      ]
    },
    {
      "run": "id-a9ceea0a61320f",
      "stage": 7,
      "scenario": 4,
      "profile": "combined",
      "codes": [
        "audio_queue_overflow",
        "bridge_failure"
      ]
    },
    {
      "run": "id-365d6371d081c8",
      "stage": 1,
      "scenario": 6,
      "profile": "echo_off",
      "codes": [
        "audio_queue_overflow",
        "bridge_failure"
      ]
    },
    {
      "run": "id-238a3156a8b971",
      "stage": 7,
      "scenario": 4,
      "profile": "baseline",
      "codes": [
        "audio_queue_overflow",
        "bridge_failure"
      ]
    },
    {
      "run": "id-fe3c33e3ca120b",
      "stage": 3,
      "scenario": 3,
      "profile": "native",
      "codes": [
        "audio_queue_overflow",
        "bridge_failure"
      ]
    }
  ],
  "improvements": [
    {
      "point": "Разделить audio_queue_overflow на превышение длительности окна, накопленного звука и ёмкости очереди; сохранять сработавший предел числом.",
      "global": "Для длинной неустойчивой гипотезы проверить ограниченное продвижение окна с сохранением слов и приоритетом final; confidence-фильтры не ослаблять.",
      "status": "В этой серии есть реальные отказы. Последние окна и ожидание очереди сохранены в overflow_evidence; один общий код не подтверждает, какой именно предел сработал. Изменение алгоритма — будущая работа."
    },
    {
      "point": "Калибровать добавляемый шум и оценку уровня по явно выбранной речевой полосе, отдельно от DC и низких частот исходной записи.",
      "global": "Измерять спектр до и после браузера и назначать обработке одного владельца; необходимость дополнительного фильтра определять по фактическому PCM.",
      "status": "В исходниках ниже 80 Гц находится 89,2% / 96,3% энергии, но в двух проверенных baseline-захватах после Chrome осталось 5,1% / 3,6%. Поэтому исходный спектр не доказывает такую же проблему на входе Whisper. Польза дополнительного фильтра для WER не проверялась."
    },
    {
      "point": "Проверять реальную конфигурацию GUM и освобождение треков, а не только успех applyConstraints.",
      "global": "Включать поддержку настройки и фактическое значение в диагностику клиента.",
      "status": "Измерено на функциональных испытаниях; победители не включены в рабочий тракт."
    },
    {
      "point": "Оценивать сохранность собственной речи при AEC отдельно от сильного подавления чистого эха.",
      "global": "Перед выводом о качестве реального микрофона провести отдельный согласованный double-talk в комнате с фиксированной геометрией и уровнем громкоговорителя.",
      "status": "На синтетическом стенде ослабление эха 72,2 дБ, но WER собственной речи при эхе 61,1%. Физическая комната этой кампанией не проверялась."
    },
    {
      "point": "Для тихой речи выбирать только профиль, который сохраняет числа и окончания; обычным усилением не исправлять уже перегруженный исходник.",
      "global": "Контроль уровня до записи и отдельная оценка предела микрофона.",
      "status": "Выбор основан на измерениях; эффект на физическом устройстве требует отдельной проверки."
    },
    {
      "point": "Не объединять Chrome NS и RNNoise; исключать вариант с неподтверждённым отключением штатного AGC.",
      "global": "Один владелец DSP и воспроизводимые профили вместо независимых усилителей.",
      "status": "Сравнение из этой серии; новая production-настройка не применена."
    },
    {
      "point": "Не сокращать endpointing при новых разрезаниях вопроса; сохранять тихие окончания.",
      "global": "Возможная адаптация паузы по контексту VAD — отдельная гипотеза, которую эта серия не проверяет.",
      "status": "Фиксированные паузы проверены; адаптивное завершение не реализовано."
    },
    {
      "point": "Уменьшать повторные partial decode только при сохранении final и ограниченной очереди.",
      "global": "Стабильный префикс и приоритет final; измерять повторно обработанные секунды каждого окна.",
      "status": "Интервалы проверены, алгоритм production не изменён."
    },
    {
      "point": "При исследовании полного финального окна отдельно проверять настоящие повторы речи против compression_ratio-фильтра.",
      "global": "Сопоставлять повторяющийся текст с акустическими сегментами; проверять защиту от галлюцинаций и сохранность реальных повторов одним контрольным набором.",
      "status": "В полном контрольном окне 41,3 с сработал compression_ratio 2,52: гипотеза имела WER 35,1%, фактический отказ — 100%. Online-вариант этого входа дал текст. Фильтры не ослаблялись."
    },
    {
      "point": "Отдельно проверять буквы в позывном и назначение чисел: сохранённые 123, 1000, 30 и 3500 не компенсируют «Тес» вместо TEST.",
      "global": "Отдельный контроль критичных терминов и кодов на отложенных голосах; доменные подсказки decoder можно исследовать отдельным кандидатом без автоматической подмены ответа.",
      "status": "Потеря буквы измерена в тихом baseline. Польза доменной подсказки не проверялась; модель и её параметры в рабочем тракте не менялись."
    },
    {
      "point": "Диагностический exporter должен проверяться внутри фактического runtime, включая Python 3.10.",
      "global": "Контрактные проверки образа и явная полнота каждой точки съёма.",
      "status": "Совместимость exporter исправлена; неполные старые прогоны сохранены и исключены из выбора."
    }
  ],
  "spectral_audit": {
    "version": 2,
    "sources": [
      {
        "source": "real1",
        "mean_dc": -0.02095458178877212,
        "below_80_hz_energy_fraction": 0.8924879108879078,
        "below_300_hz_energy_fraction": 0.9754911506315894,
        "peak_above_full_scale_fraction": 0.0076051323627903695,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      },
      {
        "source": "real2",
        "mean_dc": -0.03165289220146924,
        "below_80_hz_energy_fraction": 0.9634101644606503,
        "below_300_hz_energy_fraction": 0.9902364291893941,
        "peak_above_full_scale_fraction": 0.012061792549099644,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      },
      {
        "source": "male_ordinary",
        "mean_dc": 2.3843157320417048e-05,
        "below_80_hz_energy_fraction": 0.040296576784214194,
        "below_300_hz_energy_fraction": 0.6164161240730033,
        "peak_above_full_scale_fraction": 0.0,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      },
      {
        "source": "male_codes",
        "mean_dc": 5.5489992962203215e-06,
        "below_80_hz_energy_fraction": 0.0421354758129191,
        "below_300_hz_energy_fraction": 0.5920684739832416,
        "peak_above_full_scale_fraction": 0.0,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      },
      {
        "source": "female_ordinary",
        "mean_dc": -6.512744885655076e-07,
        "below_80_hz_energy_fraction": 0.0004560596099168953,
        "below_300_hz_energy_fraction": 0.4351695602466852,
        "peak_above_full_scale_fraction": 0.0,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      },
      {
        "source": "female_codes",
        "mean_dc": -4.233428578317901e-06,
        "below_80_hz_energy_fraction": 0.00044229402128961214,
        "below_300_hz_energy_fraction": 0.42591604004084754,
        "peak_above_full_scale_fraction": 0.0,
        "representation": "prepared FLOAT WAV; resample overshoot is not proof of ADC clipping"
      }
    ],
    "mixtures": [
      {
        "fixture": "s3_1_snr15",
        "nominal_snr_db": 15,
        "measured_snr_db": {
          "full_band": 14.999999590358385,
          "80_8000_hz": 5.154131745625159,
          "300_3400_hz": 1.9663424098290792
        },
        "mask": "same fixed source-energy mask as stimulus preparation"
      },
      {
        "fixture": "s3_1_snr5",
        "nominal_snr_db": 5,
        "measured_snr_db": {
          "full_band": 4.999999773400649,
          "80_8000_hz": -4.855277058415234,
          "300_3400_hz": -8.020374252270955
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        "mask": "same fixed source-energy mask as stimulus preparation"
      },
      {
        "fixture": "s3_2_keyboard",
        "nominal_snr_db": 10,
        "measured_snr_db": {
          "full_band": 9.999999929036331,
          "80_8000_hz": 4.806632867632933,
          "300_3400_hz": 3.0222526942779524
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        "mask": "same fixed source-energy mask as stimulus preparation"
      },
      {
        "fixture": "s3_3_babble",
        "nominal_snr_db": 5,
        "measured_snr_db": {
          "full_band": 4.999999421744432,
          "80_8000_hz": -4.767596466204748,
          "300_3400_hz": -7.238841991667457
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        "mask": "same fixed source-energy mask as stimulus preparation"
      },
      {
        "fixture": "s7_3_noise",
        "nominal_snr_db": 5,
        "measured_snr_db": {
          "full_band": 4.999999819877683,
          "80_8000_hz": -10.320303315758185,
          "300_3400_hz": -13.447970710138586
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        "mask": "same fixed source-energy mask as stimulus preparation"
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    ],
    "captured_checkpoints": [
      {
        "run": "id-8e5b62828f8c42",
        "fixture": "s7_1_clean",
        "checkpoint": "input",
        "below_80_hz_energy_fraction": 0.9633908571004018,
        "mean_dc": -0.01421748596229479,
        "scope": "one baseline capture; same FFT energy method"
      },
      {
        "run": "id-8e5b62828f8c42",
        "fixture": "s7_1_clean",
        "checkpoint": "chrome",
        "below_80_hz_energy_fraction": 0.03606462255805962,
        "mean_dc": 4.835878639011826e-07,
        "scope": "one baseline capture; same FFT energy method"
      },
      {
        "run": "id-8e5b62828f8c42",
        "fixture": "s7_1_clean",
        "checkpoint": "worklet",
        "below_80_hz_energy_fraction": 0.03606462255805962,
        "mean_dc": 4.835878639011826e-07,
        "scope": "one baseline capture; same FFT energy method"
      },
      {
        "run": "id-8e5b62828f8c42",
        "fixture": "s7_1_clean",
        "checkpoint": "ingress",
        "below_80_hz_energy_fraction": 0.03639356497642812,
        "mean_dc": 5.326009308808174e-08,
        "scope": "one baseline capture; same FFT energy method"
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      {
        "run": "id-8b526a06b37a5c",
        "fixture": "s2_1_ordinary",
        "checkpoint": "input",
        "below_80_hz_energy_fraction": 0.8925068256603423,
        "mean_dc": -0.019606864697571703,
        "scope": "one baseline capture; same FFT energy method"
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      {
        "run": "id-8b526a06b37a5c",
        "fixture": "s2_1_ordinary",
        "checkpoint": "chrome",
        "below_80_hz_energy_fraction": 0.050501785771355785,
        "mean_dc": -1.075138870043618e-05,
        "scope": "one baseline capture; same FFT energy method"
      },
      {
        "run": "id-8b526a06b37a5c",
        "fixture": "s2_1_ordinary",
        "checkpoint": "worklet",
        "below_80_hz_energy_fraction": 0.050501785771355785,
        "mean_dc": -1.075138870043618e-05,
        "scope": "one baseline capture; same FFT energy method"
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      {
        "run": "id-8b526a06b37a5c",
        "fixture": "s2_1_ordinary",
        "checkpoint": "ingress",
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        "mean_dc": -1.0781288146972656e-05,
        "scope": "one baseline capture; same FFT energy method"
      }
    ],
    "method": "Known clean component subtracted from the immutable mixture; common headroom gain cancels. Fourth-order Butterworth bands are analysis-only.",
    "limitations": "Nominal SNR uses full-band source RMS, including low-frequency energy. Band-limited SNR is a separate descriptive metric, not a new stimulus or perceptual quality score.",
    "audio_modified": false,
    "asr_runs": 0
  },
  "pause_audit": {
    "version": 1,
    "measurements": [
      {
        "run": "id-d497e7fb17475d",
        "scenario": 1,
        "fixture": "s4_1_transition",
        "available": true,
        "known_silent_frames": 54,
        "known_silence_max_applied_gain_db": 0.0,
        "energy_mask_quiet_max_applied_gain_db": 0.0,
        "alignment_resolution_ms": 20,
        "edge_guard_ms": 100
      },
      {
        "run": "id-e9e7feab33235b",
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        "fixture": "s4_2_transition",
        "available": true,
        "known_silent_frames": 36,
        "known_silence_max_applied_gain_db": 0.0,
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        "edge_guard_ms": 100
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        "run": "id-00802f4ab4e974",
        "scenario": 3,
        "fixture": "s4_3_noise_change",
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        "known_silence_max_applied_gain_db": 16.418514998972434,
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        "edge_guard_ms": 100
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        "run": "id-ea97207332af91",
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        "fixture": "s4_4_quiet_ending",
        "available": true,
        "known_silent_frames": 35,
        "known_silence_max_applied_gain_db": 0.0,
        "energy_mask_quiet_max_applied_gain_db": 13.580323982014646,
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        "edge_guard_ms": 100
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      {
        "run": "id-c8c3118cf8749e",
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        "fixture": "s4_5_pause",
        "available": true,
        "known_silent_frames": 56,
        "known_silence_max_applied_gain_db": 14.815694480436052,
        "energy_mask_quiet_max_applied_gain_db": 14.815694480436052,
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        "run": "id-7dc497ba00a87c",
        "scenario": 6,
        "fixture": "s4_6_regulators",
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        "known_silent_frames": 54,
        "known_silence_max_applied_gain_db": 0.0,
        "energy_mask_quiet_max_applied_gain_db": 0.0,
        "alignment_resolution_ms": 20,
        "edge_guard_ms": 100
      }
    ],
    "method": "Known zero-input portions of the fixed WAV, mapped to actual Worklet gains using retained envelope alignment. No new playback or ASR.",
    "limitation": "Full-band energy masks on the real recordings can label quiet speech as non-speech because low-frequency energy dominates the peak. Mask-based amplification is not proof that an acoustically annotated pause was amplified.",
    "selection_changed": false
  },
  "overflow_evidence": [
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    {
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      "reprocessed_audio_seconds": 35.92
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    {
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      "reprocessed_audio_seconds": 53.848
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    {
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  "overflow_limits_from_source": {
    "revision": "a30a7a3167e40528b482371645c149243299b75b",
    "file": "py_faster_whisper/src/streaming_asr/worker.py",
    "maximum_undecoded_age_seconds": 2,
    "maximum_dirty_samples": 32000,
    "maximum_online_window_samples": 128000,
    "sample_rate": 16000,
    "scheduler_queue_full_uses_same_code": true,
    "boundary": "verified source branches; current telemetry does not identify the branch for each recorded failure"
  },
  "confidence_summary": {
    "decode_windows": 2727,
    "rejected_windows": 204,
    "reasons": {
      "compression_ratio_out_of_range": 17,
      "avg_logprob_below_threshold": 189
    },
    "boundary": "decode windows, including repeated partial windows; not independent utterances",
    "filters_changed": false
  },
  "online_vs_full_ingress": [
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      "profile": "echo_off",
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      "full_ingress_wer": 0.5740740740740741,
      "online_full_refusals": 1,
      "full_ingress_full_refusals": 0,
      "boundary": "same retained ingress PCM; full-window offline decode versus online VAD/incremental state; not a single-module causal attribution"
    },
    {
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      "online_wer": 0.6111111111111112,
      "full_ingress_wer": 0.5925925925925926,
      "online_full_refusals": 0,
      "full_ingress_full_refusals": 0,
      "boundary": "same retained ingress PCM; full-window offline decode versus online VAD/incremental state; not a single-module causal attribution"
    },
    {
      "stage": 2,
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      "online_wer": 0.37438423645320196,
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      "online_full_refusals": 0,
      "full_ingress_full_refusals": 0,
      "boundary": "same retained ingress PCM; full-window offline decode versus online VAD/incremental state; not a single-module causal attribution"
    },
    {
      "stage": 2,
      "profile": "rms22",
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      "online_wer": 0.37438423645320196,
      "full_ingress_wer": 0.28078817733990147,
      "online_full_refusals": 0,
      "full_ingress_full_refusals": 0,
      "boundary": "same retained ingress PCM; full-window offline decode versus online VAD/incremental state; not a single-module causal attribution"
    },
    {
      "stage": 2,
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      "online_wer": 0.35960591133004927,
      "full_ingress_wer": 0.2857142857142857,
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