/music-timbre — Timbre & Spectral Analysis

Extract timbral and spectral characteristics: MFCC coefficients, spectral centroid/bandwidth/rolloff, loudness (LUFS), dynamic range, brightness, warmth, and optionally separate audio sources.

Usage

/music-timbre <audio_file_path>

Steps

1. Validate the audio file path
2. Run timbre analysis:

python3 -m music_analyzer timbre "<audio_file_path>"

Add --no-separation to skip Demucs source separation.

3. Present results:
   • Brightness: Score 0-1 (higher = brighter timbre)
   • Warmth: Score 0-1 (higher = more low-frequency energy)
   • Dynamic Range: Estimated in dB
   • Loudness: LUFS (if pyloudnorm available)
   • MFCC Summary: 13-coefficient means
   • Stems: Paths to separated vocals/drums/bass/other (if demucs ran)

Output Fields