songsee

Convert audio files into spectrograms, mel-spectrograms, and pitch class distributions.

5|2|Updated May 26, 2026

Search Tags:#audio processing #spectrogram #audio analysis #music analysis #signal visualization

Ready to run

npx skills add https://github.com/nyxoraAI/Nyxora --skill songsee-nyxoraai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/nyxoraAI/Nyxora/tree/main/packages/core/playbooks/media/songsee
Command: npx skills add https://github.com/nyxoraAI/Nyxora --skill songsee-nyxoraai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires go, ffmpeg, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the analysis of audio files by providing spectrograms and other visualizations, making it easier to understand audio features.

Core Features & Use Cases

Audio Feature Visualization: Generate spectrograms, mel-scaled spectrograms, pitch class distributions, and more.
Command Line Interface: Accessible through the command line for integration with other tools.
Use Case: Ideal for audio engineers, musicians, or anyone analyzing audio signals, allowing for quick visual assessments of audio files.

Quick Start

To create a basic spectrogram of 'track.mp3', run 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?▼

To generate a spectrogram from an audio file, run the command `songsee track.mp3` in your command line. This visualizes the audio features of the file, making signal analysis quick and accessible for audio engineers.

What is a mel-spectrogram and when do I need it for audio analysis?▼

A mel-spectrogram is a visual representation of audio frequencies scaled to human hearing. You need it for audio analysis to assess musical composition and pitch class distributions, simplifying complex audio signal evaluation.

Do I need ffmpeg and Go installed to visualize audio features?▼

You need Go installed to execute the audio visualization tool, while ffmpeg is an optional dependency required for additional format support. Both facilitate the conversion of audio files into visual representations.

Can I use this spectrogram tool for musical composition analysis?▼

Yes, you can use this spectrogram tool for musical composition analysis. It converts audio files into pitch class distributions and mel-scaled spectrograms, making it ideal for visual assessments of audio signals.

What's the best way to integrate audio signal visualization into a command line workflow?▼

The best way to integrate audio signal visualization into a command line workflow is using a CLI tool that outputs spectrograms. This allows quick visual assessments of audio files alongside other signal processing tools.