songsee

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

11|Updated May 17, 2026

Search Tags:#visualization #audio #chroma #spectrogram #mfcc #mel

Ready to run

npx skills add https://github.com/StarryCod/cogitum --skill songsee-starrycod

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/StarryCod/cogitum/tree/main/cogitum/data/skills/media/songsee
Command: npx skills add https://github.com/StarryCod/cogitum --skill songsee-starrycod

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Audio analysis often requires visualizing spectral content from files; this Skill generates spectrograms and multi-panel feature visualizations via the CLI, enabling quick insights.

Core Features & Use Cases

Generate spectrograms (spectrogram, mel), chroma features, MFCCs, and more for audio assessment.
Create multi-panel visualizations to compare different features in a single image.
Use in music analysis, audio debugging, or data-driven audio research.

Quick Start

Process an audio file to produce spectrograms and multi-panel feature visualizations.

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, use the songsee CLI to process WAV or MP3 files and output visual spectral content images for quick audio content inspection.

What audio features can I visualize for music analysis?▼

For music analysis, you can visualize chroma features, MFCCs, and mel spectrograms. The tool creates multi-panel visualizations to compare these different audio features in a single image for comprehensive assessment.

Do I need FFmpeg to visualize audio spectrograms?▼

You need FFmpeg to visualize audio spectrograms only when processing formats beyond WAV and MP3. The core songsee CLI requires the Go toolchain, but FFmpeg is an optional dependency for extended format support.

Can I compare multiple audio features in one image?▼

Yes, you can compare multiple audio features in one image using multi-panel visualizations. This allows you to assess chroma, MFCCs, and spectrograms side-by-side within a single generated output for efficient audio debugging.

What's the best way to extract MFCCs for audio research in a CLI environment?▼

The best way to extract MFCCs for audio research in a CLI environment is using the songsee tool, which generates multi-panel feature visualizations directly from your audio files to streamline data-driven workflows.

Why use a CLI tool for audio feature visualization?▼

Use a CLI tool for audio feature visualization to enable rapid, scriptable inspection of spectral content. It bypasses GUI overhead, allowing direct integration into automated research workflows and quick audio debugging pipelines.