Generate spectrograms and audio feature analyses from audio files via command line.
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill songsee-rheasilvia
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/skills/media/songsee Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill songsee-rheasilvia
This Skill addresses the difficulty of manually analyzing audio files by providing a streamlined way to generate visual representations of sound data.
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.
Generate a spectrogram from an audio file by using command-line processing to extract and visualize frequency data over time. This skill outputs multi-panel grids containing spectrograms, mel-frequency cepstral coefficients, and chroma features.
Visualize audio features for music information retrieval including spectrograms, MFCC, tempogram, pitch class distributions, and harmonic/percussive separation. These features support frequency analysis, tempo estimation, and music production research tasks.
You need ffmpeg to process diverse audio formats for visualization and comprehensive audio decoding. While the core processing requires Go, ffmpeg is an optional dependency specifically needed to support format flexibility beyond standard inputs.
Compare the spectral characteristics of different audio masters by generating multi-panel visualization grids for each track. This allows sound engineers to visually identify frequency imbalances, clipping issues, and tonal differences across masters.
Perform harmonic and percussive separation on a track by applying command-line audio analysis to split the input into its tonal and rhythmic components. This process yields distinct visual representations for music production analysis.
This audio analysis approach does not work without installing Go, as Go is a required dependency for the command-line processing logic. Optional ffmpeg is additionally needed for comprehensive audio decoding and diverse format support.
1thirteeng3Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI.
huidgeGenerate multi-panel spectrogram visualizations from audio files.
locdinh209Convert and process multimedia files using FFmpeg and ImageMagick.
Zentin-LGenerate spectrograms and feature-panel visualizations from audio files via the songsee CLI.
