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songsee

Generate spectrograms and multi-panel audio feature visualizations from audio files via CLI.

228k|44.7k|Updated Jul 22, 2025
Search Tags:#visualization#audio#spectrogram#music analysis#audio features
One-click install
npx skills add https://github.com/NousResearch/hermes-agent --skill songsee-nousresearch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/NousResearch/hermes-agent/tree/main/skills/music-creation/songsee
Command: npx skills add https://github.com/NousResearch/hermes-agent --skill songsee-nousresearch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users analyze and understand audio files by generating visual representations of their acoustic properties, aiding in debugging, production, and analysis.

Core Features & Use Cases

  • Spectrogram Generation: Create standard spectrograms to visualize frequency content over time.
  • Audio Feature Visualization: Generate various feature visualizations like Mel-scaled spectrograms, chroma, MFCCs, and more.
  • Use Case: A music producer can use this Skill to generate a multi-panel visualization of a track to identify specific sonic issues or compare different mix versions visually.

Quick Start

Generate a spectrogram from the audio file 'track.mp3' and save it as 'spectrogram.png'.

Frequently Asked Questions about songsee

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a spectrogram from an audio file for visual analysis?▼

To generate a spectrogram, you pass an audio file like 'track.mp3' to the CLI and specify an output image such as 'spectrogram.png'. This visualizes the frequency content over time for audio analysis and production debugging.

What audio feature visualizations can I create besides a standard spectrogram?▼

Beyond standard spectrograms, you can generate multi-panel audio feature visualizations including mel-scaled spectrograms, chroma, MFCCs, and tempograms. These help identify specific sonic characteristics and compare different mix versions.

What is the best way to visually document music production issues in a track?▼

The best way to visually document music production issues is generating multi-panel audio feature visualizations. By creating spectrograms and chroma displays from your audio files, you can visually pinpoint and track specific sonic problems.

Does this audio visualization tool support time slicing for long audio files?▼

Yes, the audio visualization tool supports time slicing options. This allows you to segment and format the output of your spectrograms, mel, MFCC, and tempogram visualizations when analyzing longer audio recordings.

Can I use spectrograms to visually compare different mix versions of a song?▼

Yes, you can use spectrograms and multi-panel audio feature visualizations to visually compare different mix versions. Generating these visual representations from your audio files helps identify specific sonic differences between mixes.

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