songsee

Convert audio files into spectrograms and Mel, Chroma, and MFCC features via CLI.

1|Updated Jun 9, 2026

Search Tags:#CLI tool #spectrogram #audio analysis #music analysis #audio feature visualization

Ready to run

npx skills add https://github.com/lxt070409/hermes-skills --skill songsee-lxt070409

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/lxt070409/hermes-skills/tree/main/media/songsee
Command: npx skills add https://github.com/lxt070409/hermes-skills --skill songsee-lxt070409

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides an efficient way to visualize audio features such as Mel, Chroma, and MFCCs with spectrograms, simplifying the analysis of audio data.

Core Features & Use Cases

Spectrogram Generation: Create spectrograms for audio files with ease.
Audio Feature Visualization: Generate visual representations of various audio features.
Use Case: Analyze the composition and quality of a piece of music using spectrograms to understand frequency content and dynamic range.

Quick Start

Use the songsee skill to create a spectrogram for your audio file 'example.mp3'.

Frequently Asked Questions about songsee

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate an audio spectrogram from an mp3 file?▼

To generate an audio spectrogram from an mp3, use a command-line interface to convert the audio file into visual representations. This process analyzes the frequency content and dynamic range for music analysis.

What is the best way to visualize MFCCs and Mel features for music analysis?▼

Visualizing MFCCs and Mel features for music analysis involves converting audio files into graphical spectrograms. This simplifies understanding the audio data by displaying its frequency content visually.

Does audio feature visualization require ffmpeg?▼

Yes, audio feature visualization requires ffmpeg along with the songsee tool. These dependencies handle the underlying audio processing and visualization across various platforms.

Can I use a CLI tool to analyze the frequency content of a music track?▼

Yes, you can use a CLI tool to analyze the frequency content of a music track. It processes audio files to output visual spectrograms and features like Chroma and MFCCs.

What audio features can I visualize when analyzing spectrograms?▼

When analyzing spectrograms, you can visualize audio features such as Mel, Chroma, and MFCCs. These visual representations help you analyze the composition and quality of music.

Are there limitations when visualizing audio spectrograms on different platforms?▼

Visualizing audio spectrograms operates across various platforms using a command-line interface, but requires both songsee and ffmpeg to be installed. Ensure your environment supports these dependencies.