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songsee

Generate spectrograms and Mel, Chroma, and MFCC visualizations from audio files.

Updated Apr 15, 2026
Search Tags:#feature extraction#spectrogram#audio analysis#audio visualization#music analysis
One-click install
npx skills add https://github.com/juliuss1907/knowledge-base --skill songsee-juliuss1907
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/juliuss1907/knowledge-base/tree/main/.hermes/skills/media/songsee
Command: npx skills add https://github.com/juliuss1907/knowledge-base --skill songsee-juliuss1907

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

songsee addresses the need for generating audio feature visualizations and spectrograms quickly, offering a streamlined solution for audio analysis tasks.

Core Features & Use Cases

  • Spectrogram and Feature Extraction: Converts audio files into various visual representations like spectrograms, mel-spectrograms, and others.
  • Customizable Outputs: Provides flexibility in choosing specific features to visualize, including Mel, Chroma, MFCC, and more.
  • Efficient Processing: Streamlines the process of creating audio feature visualizations with ease of use and fast processing.

Quick Start

Generate a spectrogram from the audio file 'track.mp3' with the command: songsee track.mp3.

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 quick analysis?▼

To generate a spectrogram from an audio file, you can use a command-line tool like songsee to quickly convert audio signals into visual representations for rapid analysis.

What audio features can I visualize alongside a standard spectrogram?▼

Alongside a standard spectrogram, you can visualize audio features such as Mel-spectrograms, Chroma, and MFCC to analyze different characteristics of audio signals.

Can I customize which audio features are extracted and visualized?▼

Yes, you can customize audio feature extraction by selecting specific features to visualize, providing flexibility to focus on Mel, Chroma, MFCC, or standard spectrograms.

Does songsee require any dependencies to process audio analysis?▼

Songsee requires no external dependencies to perform audio analysis and feature extraction, streamlining the process of creating visualizations directly from your audio files.

What is the best way to perform rapid audio visualization for music analysis?▼

The best way to perform rapid audio visualization for music analysis is using streamlined tools that generate multi-panel feature plots like Mel and MFCC from audio signals quickly.

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