Audio & voixsource GitHub
songsee
/SKILLGénérer des spectrogrammes et des tableaux de caractéristiques à partir d'un fichier audio.
// contenu du skill
name: songsee
description: "Generate spectrograms and feature-panel visualizations from audio with the songsee CLI."
homepage: https://github.com/steipete/songsee
metadata:
{
"openclaw":
{
"emoji": "🌊",
"requires": { "bins": ["songsee"] },
"install":
[
{
"id": "brew",
"kind": "brew",
"formula": "steipete/tap/songsee",
"bins": ["songsee"],
"label": "Install songsee (brew)",
},
],
},
}
songsee
Generate spectrograms + feature panels from audio.
Quick start
- Spectrogram:
songsee track.mp3 - Multi-panel:
songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux - Time slice:
songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg - Stdin:
cat track.mp3 | songsee - --format png -o out.png
Common flags
--vizlist (repeatable or comma-separated)--stylepalette (classic, magma, inferno, viridis, gray)--width/--heightoutput size--window/--hopFFT settings--min-freq/--max-freqfrequency range--start/--durationtime slice--formatjpg|png
Notes
- WAV/MP3 decode native; other formats use ffmpeg if available.
- Multiple
--vizrenders a grid.
// source originale publique
openclaw/openclaw/skills/songsee/SKILL.md
Licence : NOASSERTION. Consultez le dépôt avant toute réutilisation.
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.