Generate spectrograms and multi-panel feature plots from audio files.
npx skills add https://github.com/wwwillott/jobnimbus --skill songsee-wwwillott
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/wwwillott/jobnimbus/tree/main/skills/media/songsee Command: npx skills add https://github.com/wwwillott/jobnimbus --skill songsee-wwwillott
Audio researchers and developers often need quick, consistent visual representations of audio data to analyze tone, rhythm, and content. Songsee automates the creation of spectrograms and multi-panel feature visualizations from audio files to streamline analysis and comparison.
Run songsee on an audio file to generate spectrograms and feature visualizations.
High-intent search queries and answers about installing and using this skill.
You can generate a spectrogram from an audio file by running a CLI command that processes the audio and outputs a PNG or JPG image. This automates audio visualization for quick spectral inspection.
Beyond a standard spectrogram, you can visualize mel spectrograms, MFCC, chroma, HPSS, self-similarity, tempogram, loudness, and flux. These multi-panel feature plots help analyze tone, rhythm, and audio content.
Automating audio debugging visualizations is best handled through a CLI-driven workflow that batch-processes audio files into standard and multi-panel feature plots. This ensures consistent visual representations for research and dataset exploration.
No external dependencies are required to run this audio visualization tool. It operates independently via a CLI workflow to produce spectrograms and feature plots directly from your audio files.
Yes, you can use multi-panel feature plots for dataset exploration and audio comparison. Generating visualizations like chroma, MFCC, and self-similarity allows researchers to quickly compare spectral content and rhythmic patterns across multiple audio files.
Supported output formats for generating mel spectrograms and MFCC plots are PNG and JPG. This allows you to save visual representations of your audio features as standard image files for further analysis.
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AlvaroBianoGenerate spectrogram, mel, chroma, hpss, mfcc visualizations from audio files to PNG/JPG using songsee CLI.
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