whisper-beat-finder

When to Use

Use this skill in Stage 03, immediately after elevenlabs-narration produces an mp3. It outputs two things:

1. transcript.json -- Whisper's full output with word-level timestamps
2. beat-timings.md -- absolute timestamps for each beat boundary and key sub-callout

Stage 04 reads beat-timings.md to populate timing.ts and re-time per-scene T constants.

What You Need

• Python with openai-whisper installed
• The mp3 produced by Stage 03 (Whisper takes the file path)
• A list of phrases to find (these come from the script, one per beat boundary)

No GPU is required. The default configuration runs medium.en on CPU, which finishes ~1 minute per minute of audio on a modern laptop and is reliable across drivers.

CPU vs GPU