Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI.
npx skills add https://github.com/matlee0409/cronus --skill songsee-matlee0409
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/matlee0409/cronus/tree/main/skills/media/songsee Command: npx skills add https://github.com/matlee0409/cronus --skill songsee-matlee0409
Visualize audio data quickly by generating spectrograms and multi-panel feature visualizations from audio files via a CLI, reducing manual plotting and data exploration time.
Run the tool on an audio file to generate a spectrogram image and accompanying feature plots.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, run this CLI tool which processes audio tracks and outputs standard frequency representation images for quick analysis.
You can visualize MFCC and mel features for music analysis by applying the multi-panel feature extraction to generate comprehensive visual plots comparing timbre and tempo across tracks.
Yes, you can process multiple audio files in batch for feature extraction, applying the tool across single files or batches to generate spectrograms and multi-panel feature visualizations efficiently.
The best way to visualize chroma features from audio tracks is using a CLI tool that produces multi-panel visualizations, reducing manual plotting time and streamlining audio research workflows.
Yes, audio visualization supports customizable output formats for spectrograms, providing CLI-based feature extraction with options to tailor mel, chroma, and MFCC visual outputs to your specific analysis needs.
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