songsee

Name: songsee
Availability: InStock
Author: thisismynewfmail-ui

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

Updated Apr 12, 2026

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

Ready to run

npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill songsee-thisismynewfmail-ui

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/thisismynewfmail-ui/Monika-agent/tree/main/skills/media/songsee
Command: npx skills add https://github.com/thisismynewfmail-ui/Monika-agent --skill songsee-thisismynewfmail-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Songsee simplifies the process of visualizing audio content by generating spectrograms and multi-panel feature visualizations from audio files for analysis, debugging, and documentation.

Core Features & Use Cases

Generate standard spectrograms, Mel spectrograms, chroma, MFCCs, and other audio feature visualizations from input files.
Useful for audio analysis, music production debugging, and visual documentation of audio pipelines.
Supports quick comparisons and documentation by exporting visuals in common image formats for reports or knowledge bases.

Quick Start

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

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 songsee CLI on your input. It processes common audio formats to produce standard spectrograms and multi-panel feature visualizations for analysis or documentation.

What audio features can I visualize for music production debugging?▼

For music production debugging, you can visualize Mel spectrograms, chroma, MFCCs, and tempograms alongside standard spectrograms. These multi-panel visualizations help analyze audio characteristics and identify processing issues.

Do I need ffmpeg to visualize audio formats with this tool?▼

You need Go to install the songsee CLI, but ffmpeg is optional. Installing ffmpeg enables support for additional audio formats beyond the common types already handled natively by the visualization workflow.

Can I export audio feature visualizations for visual documentation reports?▼

Yes, you can export audio feature visualizations for visual documentation reports. The tool generates visuals in common image formats, allowing quick comparisons and integration into knowledge bases or documentation.

What is the difference between a Mel spectrogram and a standard spectrogram?▼

A standard spectrogram displays frequency linearly, while a Mel spectrogram scales frequency to match human auditory perception. Generating both allows comprehensive audio analysis by comparing physical frequencies with perceptual features.