Generate spectrograms, MFCCs, and chroma feature maps from audio files.
npx skills add https://github.com/zangjeicy/Hermes --skill songsee-zangjeicy
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/zangjeicy/Hermes/tree/main/skills/media/songsee Command: npx skills add https://github.com/zangjeicy/Hermes --skill songsee-zangjeicy
This skill addresses the difficulty of performing quick, visual audio analysis by providing a command-line interface to generate detailed spectrograms and feature plots without needing complex digital audio workstation software.
Use the songsee skill to generate a multi-panel visualization grid for the audio file track.mp3 including spectrogram, mel, and chroma features.
High-intent search queries and answers about installing and using this skill.
You can generate a spectrogram from an audio file via the command line to perform quick visual audio analysis without needing complex digital audio workstation software.
Yes, you can visualize MFCCs and chroma features to debug audio synthesis outputs or compare spectral characteristics by generating a multi-panel visualization grid.
You need Go installed, and ffmpeg is an optional dependency required to enable comprehensive audio format support and visualization rendering.
The best way to inspect custom frequency ranges is by using a command-line interface that supports time-slicing and flexible analysis for deep audio inspection.
Command-line audio analysis supports time-slicing, allowing you to generate detailed spectrograms and feature plots for targeted deep audio inspection.
icyzhGenerate spectrogram, mel-scaled, and harmonic feature plots from audio files.
bailynloveTransform audio data into spectrograms and feature graphs via songsee CLI.
zli5460Generate spectrograms, mel spectrograms, and chromagrams from audio files.
ragnarokhaaConvert audio files into spectrograms and mel-spectrograms using songsee CLI.
