Generate spectrograms and multi-panel feature visualizations from audio files.
npx skills add https://github.com/frankhli843/gemmahermes --skill songsee-frankhli843
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/frankhli843/gemmahermes/tree/main/skills/songsee Command: npx skills add https://github.com/frankhli843/gemmahermes --skill songsee-frankhli843
Songsee provides a simple CLI to generate spectrograms and multi-panel feature visualizations from audio, enabling quick visual analysis and documentation of audio content.
Run songsee on an audio file to generate a spectrogram and a configurable feature-panel visualization.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, use a CLI tool that processes standard audio input formats and outputs a PNG image file for immediate visual analysis. This enables quick inspection of audio content without manual plotting.
Yes, you can create multi-panel feature visualizations including mel spectrograms, chroma, and MFCCs for music analysis. The CLI generates these feature views as image files, supporting research, production quality control, and audio debugging tasks.
The tool supports standard audio input formats for generating feature-panel visualizations. It processes these inputs via the CLI and outputs PNG or related image files while exposing options for visualization styles and windowing parameters.
You can automate audio visualization output by running the CLI to generate spectrograms and feature panels as PNG image files. This allows you to integrate visualization generation directly into automated pipelines for reports and dashboards.
Yes, the CLI exposes options for visualization styles and windowing when generating spectrograms. These configurable parameters allow you to tailor the audio feature extraction and visual output to suit specific research or debugging needs.
The best way to visualize audio features for debugging and quality control is using a CLI that generates multi-panel feature views like spectrograms and MFCCs. This provides a comprehensive visual breakdown of audio characteristics for thorough analysis.
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