{
  "preservedAtUtc": "2026-10-14T09:14:01.449054+00:00",
  "reportedTool": {
    "name": "faster-whisper",
    "version": "1.2.1",
    "model": "tiny multilingual",
    "attribution": "Neo, as supplied in the user request; raw JSON has no tool configuration metadata."
  },
  "records": [
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      "sourcePath": "/tmp/findword-ambience-candidate-asr.json",
      "savedFile": "candidate-scan-original.json",
      "sha256": "2f89b954b323d2d1da96ce5927d68771f9f7ec82331c04a3bfdefbdb693b4ef6",
      "bytes": 2258,
      "sourceModifiedAtUtc": "2026-10-14T08:46:59.249935+00:00",
      "scope": "Earlier broad source candidate scan; 12-second candidates for mall, market and cafe, as reported by Neo through the user."
    },
    {
      "sourcePath": "/tmp/findword-ambience-asr.json",
      "savedFile": "prior-derivatives-asr-original.json",
      "sha256": "ab65f3d21655ee1894d16b2836d8976ba6419457aabc67a2f90a66eb8fa8bb88",
      "bytes": 1372,
      "sourceModifiedAtUtc": "2026-10-14T08:46:03.032951+00:00",
      "scope": "Earlier screening of the pre-refinement eight 12-second derivatives, as reported by Neo through the user."
    }
  ],
  "provenanceLimits": "Raw records are preserved byte-for-byte. They do not embed input hashes, model revision, decoder settings or full invocation metadata. Source/derivative associations below are the task context and captured pre-refinement plan/manifest, not independently proven by those raw ASR files. Candidate lang/p values are heuristic guesses (p is rounded in the supplied scan), not speaker identification or validated transcription.",
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      "directUrl": "https://upload.wikimedia.org/wikipedia/commons/2/24/Sunday_in_the_city_street_noise2.ogg",
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      "directUrl": "https://upload.wikimedia.org/wikipedia/commons/f/fd/1_minute_at_the_alexa_mall_in_berlin.ogg",
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      "directUrl": "https://upload.wikimedia.org/wikipedia/commons/d/d3/TTC_Subway_Line_1_Ambience_-_Museum_to_Union_%28Freesound%29.ogg",
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      "environmentId": "cafe",
      "directUrl": "https://upload.wikimedia.org/wikipedia/commons/5/54/Cafe_ambiance.ogg",
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      "directMediaDurationSeconds": 1200.000998
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    {
      "environmentId": "rain",
      "directUrl": "https://upload.wikimedia.org/wikipedia/commons/8/8c/Urban_Street_on_a_Rainy_Afternoon.flac",
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      "directMediaDurationSeconds": 1800.0
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        "fadeSeconds": 0.05,
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        "channels": 1,
        "encoding": "PCM16 little-endian",
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        "maxGain": 4,
        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
    {
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      "file": "mall.wav",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
    {
      "environmentId": "theater",
      "file": "theater.wav",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
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      "environmentId": "department",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
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      "environmentId": "market",
      "file": "market.wav",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
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    },
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      "file": "subway.wav",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
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      "file": "cafe.wav",
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        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    },
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      "bytes": 576044,
      "conversion": {
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        "sampleRate": 24000,
        "channels": 1,
        "encoding": "PCM16 little-endian",
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        "maxGain": 4,
        "operations": "excerpt, downmix, resample, linear end fades, bounded linear normalization, WAV encoding"
      }
    }
  ],
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      "selectedStartSeconds": 36,
      "durationSeconds": 12
    },
    "market": {
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      "selectedStartSeconds": 60,
      "durationSeconds": 12
    },
    "cafe": {
      "previousStartSeconds": 120,
      "selectedStartSeconds": 180,
      "durationSeconds": 12
    }
  },
  "screeningOnly": true,
  "textIsVerifiedTranscript": false,
  "humanListeningAcceptance": false,
  "legalPrivacyClearance": false,
  "limitations": "Heuristic ASR output can miss speech and hallucinate text. Neither candidate text nor empty text is a faithful transcript or clearance. Final exact derivatives must be screened separately; human listening acceptance remains unperformed."
}