reels-app/scripts
Sebastjan Artič e06c3efb8e Add audio amplitude defense (Layer 3) for first-word cut prevention
Žena problem persists: even after word-level extension, some cases where
Scribe doesn't transcribe the very first word still result in clip cutting
the vocal start.

Layer 3 defense: after word-level start extension, probe the FIRST 150ms
of audio at clip start with ffmpeg volumedetect. If mean_volume > -35 dB
(threshold for vocal/music vs silence), extend clip start back 0.5s as a
safety buffer.

This catches cases where:
- Scribe missed the word entirely (no word-level timestamp to extend to)
- LLM picked a start that's already inside vocal energy
- Word-level extension didn't trigger because no nearby word matched

The check is fast (<100ms) and conservative (only triggers if audio is
clearly NOT silent). If it's a true musical break (silence before chorus),
mean_volume will be < -40 dB and extension is skipped.

Three layers of defense now:
1. Claude prompt: 'start ~0.3s before first chorus word'
2. Word-level boundary detection (Scribe word timestamps)
3. Audio amplitude check (catches cases 1-2 missed)
2026-04-29 15:23:37 +00:00
..
acr_recognize.py MXF/MPG broadcast format support: handle multichannel audio properly 2026-04-29 14:38:48 +00:00
analyze.py Add audio amplitude defense (Layer 3) for first-word cut prevention 2026-04-29 15:23:37 +00:00
clip.py Upgrade default Whisper model: small/medium → large-v3 for much better Slovenian/Slavic transcription accuracy 2026-04-29 08:20:18 +00:00
find_chorus.py Find chorus: weight repetitive short phrases (like 'Ohne dich x5') as strong chorus signal 2026-04-28 16:57:45 +00:00
reframe.py MXF/MPG broadcast format support: handle multichannel audio properly 2026-04-29 14:38:48 +00:00
subtitle.py Upgrade default Whisper model: small/medium → large-v3 for much better Slovenian/Slavic transcription accuracy 2026-04-29 08:20:18 +00:00
yt_download.py Add cookies support to yt_download.py for YouTube bot detection bypass 2026-04-28 15:47:59 +00:00