Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI.
npx skills add https://github.com/AissenLiu/EasyHermes --skill songsee-aissenliu
Please help me install this Agent Skill. Skill: songsee Source: https://github.com/AissenLiu/EasyHermes/tree/main/hermes-agent/skills/media/songsee Command: npx skills add https://github.com/AissenLiu/EasyHermes --skill songsee-aissenliu
Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI to facilitate quick audio analysis, documentation, and debugging of audio processing pipelines.
Render spectrograms and multi-panel audio feature visualizations for a given audio file.
High-intent search queries and answers about installing and using this skill.
You can generate a spectrogram from an audio file via CLI using songsee, which processes the audio to produce ready-to-use PNG or JPG image outputs for quick analysis and documentation.
Yes, you can visualize multiple audio features like MFCC and chroma in a single multi-panel image. This skill supports generating combined visualizations for comprehensive audio analysis.
For music production debugging, you can create visualizations including spectrogram, mel, chroma, hpss, selfsim, loudness, tempogram, mfcc, and spectral flux to get clear visual feedback.
Yes, songsee works without external dependencies in a CLI environment. It is designed to facilitate quick audio analysis and technical documentation directly from your command line.
The best way to document audio analysis results for academic research is generating multi-panel audio feature visualizations. This skill outputs shareable PNG or JPG files suitable for reports and dashboards.
Supporter09Train BPE or Unigram tokenizers on raw Unicode text.
AlvaroBianoGenerate spectrogram, mel, chroma, hpss, mfcc visualizations from audio files to PNG/JPG using songsee CLI.
huidgeGenerate multi-panel spectrogram visualizations from audio files.
ChangZhou-xjGenerate spectrograms and audio feature plots from audio files via CLI.
