transcribe-server

2 Commits 1 Branch 1 Tag

Author	SHA1	Message	Date
IT狗	3126021d2e	FIX: preset language=zh in whisperx load_model to prevent tokenizer race on long audio (32+ min) - Bug: long audio (32+ min) batched inference hit NoneType 'sot_sequence' error - Root cause: faster-whisper tokenizer reset to None between VAD chunks for multilingual inference when preset_language is None - Fix: load model with language='zh' to set preset_language, avoiding tokenizer reset - Side effect: slightly faster (no language detection per file) Tested on F5 Tech Refresh meeting (32:46 audio, 80 segments, 8072 chars) Previous: failed with AttributeError: 'NoneType' object has no attribute 'sot_sequence' After: full transcript + summary generated successfully	2026-08-10 23:26:26 +08:00
IT狗	f316b9bbbc	v1.3.0: large-v3 + hallucination filter (2026-07-24) IT狗今日升級嘅 transcribe server: - Model: large-v3-turbo → large-v3 (+2-3% Cantonese WER improvement) - Compute: cpu + int8 (MPS fp16 unstable for large-v3 on 16GB Mac) - Beam: 5 → 1 (greedy, ~30-40% speedup) - Added: condition_on_previous_text=False (anti-hallucination chain) - Added: compression_ratio_threshold=2.4 (repetitive noise filter) - Added: no_speech_threshold=0.6 (silence filter) - Replaced: logprob_threshold (not in whisperx) with Python regex filter for sub-string repetition detection (e.g. '对,有自己的监控,IP' × 20) - Test: 6.1MB / 6:38 voice memo → 358s = 1.15x realtime - Test: 3 speakers correctly identified (SPEAKER_00/01/02) - Test: code-mixing OK (Cantonese + English terms preserved) Backup: transcribe_server.py.bak-20260724-0931 v1.3.0	2026-07-24 23:53:01 +08:00

Author

SHA1

Message

Date

IT狗

3126021d2e

FIX: preset language=zh in whisperx load_model to prevent tokenizer race on long audio (32+ min)

- Bug: long audio (32+ min) batched inference hit NoneType 'sot_sequence' error
- Root cause: faster-whisper tokenizer reset to None between VAD chunks for multilingual inference when preset_language is None
- Fix: load model with language='zh' to set preset_language, avoiding tokenizer reset
- Side effect: slightly faster (no language detection per file)

Tested on F5 Tech Refresh meeting (32:46 audio, 80 segments, 8072 chars)
Previous: failed with AttributeError: 'NoneType' object has no attribute 'sot_sequence'
After: full transcript + summary generated successfully

2026-08-10 23:26:26 +08:00

IT狗

f316b9bbbc

v1.3.0: large-v3 + hallucination filter (2026-07-24)

IT狗今日升級嘅 transcribe server:
- Model: large-v3-turbo → large-v3 (+2-3% Cantonese WER improvement)
- Compute: cpu + int8 (MPS fp16 unstable for large-v3 on 16GB Mac)
- Beam: 5 → 1 (greedy, ~30-40% speedup)
- Added: condition_on_previous_text=False (anti-hallucination chain)
- Added: compression_ratio_threshold=2.4 (repetitive noise filter)
- Added: no_speech_threshold=0.6 (silence filter)
- Replaced: logprob_threshold (not in whisperx) with Python regex filter
  for sub-string repetition detection (e.g. '对,有自己的监控,IP' × 20)
- Test: 6.1MB / 6:38 voice memo → 358s = 1.15x realtime
- Test: 3 speakers correctly identified (SPEAKER_00/01/02)
- Test: code-mixing OK (Cantonese + English terms preserved)

Backup: transcribe_server.py.bak-20260724-0931

v1.3.0

2026-07-24 23:53:01 +08:00