music-timbre
4
总安装量
4
周安装量
#50515
全站排名
安装命令
npx skills add https://github.com/benzema216/dreamina-claude-skills --skill music-timbre
Agent 安装分布
opencode
3
amp
2
kimi-cli
2
codex
2
github-copilot
2
claude-code
2
Skill 文档
/music-timbre â 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
- Validate the audio file path
- Run timbre analysis:
python3 -m music_analyzer timbre "<audio_file_path>"
Add --no-separation to skip Demucs source separation.
- 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
| Field | Description |
|---|---|
mfcc |
MFCC means and stds |
spectral |
Centroid, bandwidth, rolloff, ZCR |
loudness_lufs |
Integrated loudness in LUFS |
dynamic_range_db |
Dynamic range in dB |
brightness |
Brightness score 0-1 |
warmth |
Warmth score 0-1 |
stems |
Separated stem file paths (if available) |