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AlvaroBiano
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songsee

Generate spectrogram, mel, chroma, hpss, mfcc visualizations from audio files to PNG/JPG using songsee CLI.

Updated May 2, 2026
Search Tags:#cli#visualization#audio#chroma#spectrogram#mfcc#mel
One-click install
npx skills add https://github.com/AlvaroBiano/hermes-agent --skill songsee-alvarobiano
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/AlvaroBiano/hermes-agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/AlvaroBiano/hermes-agent --skill songsee-alvarobiano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate spectrograms and audio feature visualizations from audio files to aid analysis and presentation.

Core Features & Use Cases

  • Generate standard spectrograms and multi-panel visualizations (mel, chroma, mfcc, hpss) from common audio formats.
  • CLI-based workflow suitable for music analysis, research, and pipeline debugging with quick visual diagnostics.
  • Optional: output images to PNG/JPG for reports and documentation.

Quick Start

Run songsee on an audio file to generate a spectrogram image.

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 analysis?▼

To generate an audio spectrogram, you can use a CLI tool to process common audio formats and output a PNG or JPG image for visual diagnostics and music analysis.

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

Beyond a standard spectrogram, you can generate multi-panel visualizations including mel, chroma, mfcc, and hpss features to analyze different audio characteristics.

Do I need a Go environment to visualize audio features from the command line?▼

Yes, generating audio feature visualizations requires a Go environment and a specific CLI tool to execute the processing logic and output the image files.

Can I export audio visualizations as PNG or JPG for documentation?▼

Yes, you can export generated spectrograms and audio feature visualizations directly to PNG or JPG image formats for use in reports and documentation.

What is the best way to debug an audio pipeline visually?▼

The best way to debug an audio pipeline visually is to generate spectrograms and feature visualizations like mel or mfcc from your audio files to quickly identify processing anomalies.

When should I use chroma or mfcc visualizations for music analysis?▼

Use chroma visualizations to analyze pitch class distributions and mfcc visualizations to inspect timbral characteristics when performing detailed music analysis or audio research.

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