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songsee

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

Updated May 12, 2026
Search Tags:#cli#visualization#audio#spectrogram#music-analysis#mfcc
One-click install
npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill songsee-hungthinh04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/hungthinh04/Hermes_AI_Agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/hungthinh04/Hermes_AI_Agent --skill songsee-hungthinh04

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Songsee eliminates the need to manually inspect audio by turning sound files into visual feature maps that make patterns, structure, and differences easier to understand.

Core Features & Use Cases

  • Spectrogram generation: Create standard or color-styled spectrogram images for quick audio inspection.
  • Feature visualization: Render mel, chroma, hpss, self-similarity, loudness, tempogram, mfcc, and flux panels in a single grid.
  • Practical analysis: Compare synthesis outputs, debug audio processing pipelines, document musical structure, and inspect time slices of a track with precise control over image size, frequency range, and output format.

Quick Start

Use songsee to generate a spectrogram image from an audio file and save it to the output path you choose.

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 music analysis?▼

You can generate a spectrogram by running an audio visualization tool that processes WAV and MP3 files to produce configurable spectrogram images for music analysis and inspection.

What audio feature visualizations are useful for debugging a processing pipeline?▼

Useful audio feature visualizations for debugging include mel, chroma, hpss, self-similarity, loudness, tempogram, mfcc, and flux panels rendered in a multi-panel grid to inspect audio patterns and differences.

Can I visualize audio features from MP3 and WAV files without writing custom code?▼

Yes, you can visualize audio features from MP3 and WAV files without writing custom code by using CLI visualization tools that support ffmpeg-supported formats to automatically generate feature maps.

Does ffmpeg-supported audio visualization allow adjustable frequency limits and image dimensions?▼

Yes, ffmpeg-supported audio visualization allows adjustable frequency limits and image dimensions, enabling precise time-sliced inspection of tracks with configurable output styles and file formats.

What is the best way to compare synthesis outputs visually?▼

The best way to compare synthesis outputs visually is to generate multi-panel audio feature visualizations, such as spectrograms and mfcc outputs, which make structural differences between audio files easier to understand.

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