Convert audio files into spectrograms and feature visualizations.
npx skills add https://github.com/blueskies1818/hermesALIone --skill songsee-blueskies1818
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/blueskies1818/hermesALIone/tree/main/Agent/skills/media/songsee Command: npx skills add https://github.com/blueskies1818/hermesALIone --skill songsee-blueskies1818
songsee simplifies the generation of audio feature visualizations, turning complex audio files into easy-to-understand spectrograms and more.
To visualize an audio file and save the output to a file, you can use: songsee your_track.wav -o visualization.png
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, you can run a command like songsee your_track.wav -o visualization.png to instantly convert your audio data into a visual representation.
Yes, you can combine multiple audio visualizations like a Mel spectrogram and Chroma-strobe into a single multi-panel grid using optional command flags for comprehensive audio comparison.
Yes, you need ffmpeg installed as a dependency to process audio files for visualization, along with the go build tool to set up the environment for generating spectrograms.
The best way to visualize audio features for synthesis debugging is to generate frequency and pitch spectrograms, allowing you to instantly analyze and compare harmonic characteristics within the audio file.
Yes, audio spectrogram visualization works for researchers and engineers analyzing audio data, providing instant frequency and harmonic visualizations applicable for debugging synthesis and comparing audio files.
erichowensRender real-time audio-responsive WebGL visualizations using Butterchurn presets and Web Audio FFT data.
hungthinh04Generate spectrograms and multi-panel audio feature visualizations from audio files.
frankhli843Generate spectrograms and multi-panel feature visualizations from audio files.
markwang2658Generate spectrograms and multi-panel audio feature visualizations from audio files.
