Convert audio files into spectrograms and feature-panel visualizations using the songsee CLI.
npx skills add https://github.com/czue/clawdbot --skill songsee-czue
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/czue/clawdbot/tree/main/skills/songsee Command: npx skills add https://github.com/czue/clawdbot --skill songsee-czue
Generate accessible visual representations of audio content by transforming raw audio into spectrograms and feature panels, enabling easier analysis and interpretation.
Process an audio file to generate a spectrogram and multiple feature-panel visualizations with the songsee CLI.
High-intent search queries and answers about installing and using this skill.
Generate a spectrogram from an audio file by running it through the command-line interface. The tool accepts common formats like WAV and MP3, converting raw audio into visual representations to inspect frequency content over time.
A feature-panel visualization displays multiple audio characteristics like mel, chroma, MFCC, and loudness in a single grid. This simplifies audio analysis by allowing you to interpret various signal properties simultaneously rather than isolated metrics.
Yes, you can export time slices from a spectrogram for research reports. The tool supports quick exports of specific slices or complete visualizations, making it suitable for presentations and research workflows.
Yes, the audio visualization tool supports streaming input alongside single-file runs and multi-panel grids. This allows for real-time audio processing and visualization without needing to pre-record or save entire files.
Yes, you need the songsee CLI installed to create mel and chroma visualizations. Once installed, you can configure visualization options using the --viz flag and related command-line arguments.
The best way to analyze multiple audio features in one view is generating a multi-panel grid. This approach combines spectrograms with feature panels like MFCC and loudness, simplifying complex interpretation for music analysis and speech processing.
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