Generate spectrogram, mel-scaled, and chroma visualizations from audio files.
npx skills add https://github.com/zeronx798/demo-hermes-agent --skill songsee-zeronx798
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/zeronx798/demo-hermes-agent/tree/main/skills/media/songsee Command: npx skills add https://github.com/zeronx798/demo-hermes-agent --skill songsee-zeronx798
This Skill addresses the difficulty of quickly analyzing audio files by providing a command-line interface to generate visual representations of sound data, which is essential for debugging synthesis or comparing audio outputs.
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 by using this Skill to create visual representations of sound data. It processes audio files to produce multi-panel grids containing spectrograms, mel-scaled features, and chroma distributions.
The best way to visually debug audio synthesis output is to generate multi-panel visualizations of audio features like spectrograms and chroma. This allows developers to visually verify the harmonic content and compare audio outputs quickly.
Yes, you can generate mel-scaled features and chroma distributions in a single image. The Skill supports multi-panel visualization, allowing you to create grids containing spectrograms, mel features, chroma, and more at once.
You need ffmpeg optionally to process audio files for visualization if they are in non-native audio formats. The Skill requires Go, and ffmpeg is specifically used for decoding non-native audio formats during the analysis workflow.
Yes, command-line audio analysis supports time-slicing audio and various color palettes. These flexible analysis features are built to suit different analytical needs when generating visual representations of your audio signals.
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