Generate spectrograms and multi-panel audio feature visualizations via the songsee CLI.
npx skills add https://github.com/2001Haru/CloseClaw --skill songsee-2001haru
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/2001Haru/CloseClaw/tree/main/closeclaw/skills/songsee Command: npx skills add https://github.com/2001Haru/CloseClaw --skill songsee-2001haru
Converts raw audio into visual representations to enable quick analysis, comparison, and feature extraction without manual plotting.
Run the songsee CLI on an audio file to generate a spectrogram and a multi-panel visualization.
High-intent search queries and answers about installing and using this skill.
To generate an audio spectrogram, you can run the songsee CLI on an audio file to produce visual representations for rapid music analysis. This converts raw audio data into visual formats without requiring manual plotting.
Extracting audio features like MFCCs and chroma is done by generating multi-panel visualizations from the audio track. This approach enables quick inspection of the file's structure to drive feature engineering.
Yes, you can visualize specific frequency ranges from an audio track. The spectrogram generation supports common options for viz styles, dimensions, and frequency ranges to tailor the output.
Using songsee requires the songsee tooling (CLI) to be present in your environment. It operates as a command-line interface to process the audio data and generate the visual outputs.
Audio signal processing visualizations support common output formats through the CLI. You can specify these options alongside dimensions and frequency ranges to generate the desired spectrograms and feature panels.
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