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songsee

Audio spectrograms/features (mel, chroma, MFCC) via CLI.

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Informations de source

Dépôt
NousResearch/hermes-agent
Dernière activité de la source
8 mai 2026 à 21:27
Langue détectée de SKILL.md
anglais
Étoiles
247 798
Forks
52 199

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SKILL.md
Instructions source · Aperçu en lecture seule
name
songsee
description
Audio spectrograms/features (mel, chroma, MFCC) via CLI.
version
1.0.0
author
community
license
MIT
platforms
["linux","macos","windows"]
metadata
{"hermes":{"tags":["Audio","Visualization","Spectrogram","Music","Analysis"],"homepage":"https://github.com/steipete/songsee"}}
prerequisites
{"commands":["songsee"]}
# songsee Generate spectrograms and multi-panel audio feature visualizations from audio files. ## Prerequisites Requires [Go](https://go.dev/doc/install): ```bash go install github.com/steipete/songsee/cmd/songsee@latest ``` Optional: `ffmpeg` for formats beyond WAV/MP3. ## Quick Start ```bash # Basic spectrogram songsee track.mp3 # Save to specific file songsee track.mp3 -o spectrogram.png # Multi-panel visualization grid songsee track.mp3 --viz spectrogram,mel,chroma,hpss,selfsim,loudness,tempogram,mfcc,flux # Time slice (start at 12.5s, 8s duration) songsee track.mp3 --start 12.5 --duration 8 -o slice.jpg # From stdin cat track.mp3 | songsee - --format png -o out.png ``` ## Visualization Types Use `--viz` with comma-separated values: | Type | Description | |------|-------------| | `spectrogram` | Standard frequency spectrogram | | `mel` | Mel-scaled spectrogram | | `chroma` | Pitch class distribution | | `hpss` | Harmonic/percussive separation | | `selfsim` | Self-similarity matrix | | `loudness` | Loudness over time | | `tempogram` | Tempo estimation | | `mfcc` | Mel-frequency cepstral coefficients | | `flux` | Spectral flux (onset detection) | Multiple `--viz` types render as a grid in a single image. ## Common Flags | Flag | Description | |------|-------------| | `--viz` | Visualization types (comma-separated) | | `--style` | Color palette: `classic`, `magma`, `inferno`, `viridis`, `gray` | | `--width` / `--height` | Output image dimensions | | `--window` / `--hop` | FFT window and hop size | | `--min-freq` / `--max-freq` | Frequency range filter | | `--start` / `--duration` | Time slice of the audio | | `--format` | Output format: `jpg` or `png` | | `-o` | Output file path | ## Notes - WAV and MP3 are decoded natively; other formats require `ffmpeg` - Output images can be inspected with `vision_analyze` for automated audio analysis - Useful for comparing audio outputs, debugging synthesis, or documenting audio processing pipelines
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