Generate spectrograms and multi-panel audio feature visualizations via CLI.
npx skills add https://github.com/StarryCod/cogitum --skill songsee-starrycod
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/StarryCod/cogitum/tree/main/cogitum/data/skills/media/songsee Command: npx skills add https://github.com/StarryCod/cogitum --skill songsee-starrycod
Audio analysis often requires visualizing spectral content from files; this Skill generates spectrograms and multi-panel feature visualizations via the CLI, enabling quick insights.
Process an audio file to produce spectrograms and multi-panel feature visualizations.
High-intent search queries and answers about installing and using this skill.
To generate a spectrogram from an audio file, use the songsee CLI to process WAV or MP3 files and output visual spectral content images for quick audio content inspection.
For music analysis, you can visualize chroma features, MFCCs, and mel spectrograms. The tool creates multi-panel visualizations to compare these different audio features in a single image for comprehensive assessment.
You need FFmpeg to visualize audio spectrograms only when processing formats beyond WAV and MP3. The core songsee CLI requires the Go toolchain, but FFmpeg is an optional dependency for extended format support.
Yes, you can compare multiple audio features in one image using multi-panel visualizations. This allows you to assess chroma, MFCCs, and spectrograms side-by-side within a single generated output for efficient audio debugging.
The best way to extract MFCCs for audio research in a CLI environment is using the songsee tool, which generates multi-panel feature visualizations directly from your audio files to streamline data-driven workflows.
Use a CLI tool for audio feature visualization to enable rapid, scriptable inspection of spectral content. It bypasses GUI overhead, allowing direct integration into automated research workflows and quick audio debugging pipelines.
Rawgrowth-ConsultingGenerate spectrograms and multi-panel audio visualizations from audio files via CLI.
AlvaroBianoGenerate spectrogram, mel, chroma, hpss, mfcc visualizations from audio files to PNG/JPG using songsee CLI.
dkyazzentwatwaConvert audio files between MP3, WAV, FLAC, OGG, M4A, and AIFF formats.
dawsonblockGenerate spectrograms and multi-panel audio feature visualizations from files.
