Generate spectrograms and multi-panel audio feature visualizations from audio files.
npx skills add https://github.com/quiznat/Hermes_Sapho --skill songsee-quiznat
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/quiznat/Hermes_Sapho/tree/main/.hermes/skills/media/songsee Command: npx skills add https://github.com/quiznat/Hermes_Sapho --skill songsee-quiznat
Generate spectrograms and multi-panel audio feature visualizations from audio files to aid analysis and documentation.
Process a local audio file to produce a visualization image.
High-intent search queries and answers about installing and using this skill.
You generate a spectrogram by processing a local audio file via a CLI-based visualization tool, which outputs multi-panel images for comprehensive acoustic analysis and visual documentation.
Alongside a spectrogram, you can visualize mel spectra, chroma, MFCCs, and tempograms. These multi-panel outputs support comparative acoustic analysis across formats and music production debugging.
Yes, you need optional FFmpeg support to generate MFCC and chroma visualizations from non-native audio formats. The CLI tool processes native formats directly but relies on FFmpeg for extended compatibility.
Yes, you can use a CLI tool to create multi-panel audio feature visuals for music production debugging. It generates combined spectrogram, mel, chroma, MFCC, and tempogram outputs from a single audio input.
The best way to perform comparative acoustic analysis across formats is generating standardized multi-panel visualizations. By extracting spectrograms, MFCCs, and chroma from files, you can visually compare acoustic features directly.
vut08905Generate spectrograms and feature panels from audio files via CLI.
huidgeGenerate multi-panel spectrogram visualizations from audio files.
juliuss1907Generate spectrograms and Mel, Chroma, and MFCC visualizations from audio files.
kevinnftGenerate spectrogram, Mel, and MFCC visualizations from audio files.
