concert-scribe 0.1.13

Classify audio segments in concert recordings

Concert Scribe

Classify audio in concert recordings into segments of silence, talking, music, and applause.

Takes video files as input (typically output from SoundGraft), extracts the audio, runs it through Google's YAMNet model, and produces a simple text file describing the timeline.

Example output

0.0-3.36: talking
3.36-33.12: silence
33.12-37.44: applause
37.44-50.4: silence
50.4-108.96: music (Cello)
108.96-118.56: silence
118.56-274.56: music (Cello, Piano)
274.56-285.6: silence
285.6-365.76: music (Cello)
365.76-377.28: applause
377.28-381.6: silence

With --verbose, instrument durations are included:

118.56-274.56: music (Cello: 82.6s, Piano: 15.4s)

Install

pip install concert-scribe

Or with pipx:

pipx install concert-scribe

Requires ffmpeg on the system for audio extraction.

Usage

# Single file
concert-scribe recording.mp4

# All videos in a directory
concert-scribe /path/to/videos/

# Custom output directory
concert-scribe recording.mp4 -o /path/to/output/

# Include per-instrument durations
concert-scribe recording.mp4 --verbose

How it works

1. Extracts audio from video via ffmpeg (mono, 16kHz)
2. Classifies each 0.48s frame using YAMNet (521 AudioSet classes mapped to 4 categories)
3. Merges adjacent same-category frames into segments
4. Filters out short spurious segments (< 1.5s for music/talking, < 2s for silence)
5. Deduplicates music sub-types using the AudioSet hierarchy (keeps only the most specific instrument)
6. Writes a .txt file per input clip

License

Apache-2.0