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songsee

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

Updated May 21, 2026
Search Tags:#visualization#audio#command-line#audio-analysis#spectrogram#mfcc#mel
One-click install
npx skills add https://github.com/samlaggz/hermes-agent-sam --skill songsee-samlaggz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: songsee
Source: https://github.com/samlaggz/hermes-agent-sam/tree/main/backup/skills/media/songsee
Command: npx skills add https://github.com/samlaggz/hermes-agent-sam --skill songsee-samlaggz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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

Core Features & Use Cases

  • Generate standard and multi-panel spectrograms (spectrogram, mel, chroma, mfcc, etc.)
  • Visualize multiple features in a single image for quick analysis
  • CLI-based workflows for music research, audio engineering, and data analysis

Quick Start

Pass an audio file to songsee to generate a spectrogram image and optional multi-panel 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 using a command-line tool?▼

You can generate an audio spectrogram by passing your input audio file to the songsee CLI tool, which processes the audio and outputs a standard image visualization for quick analysis.

What audio features can I visualize for music analysis beyond a standard spectrogram?▼

For music analysis, you can visualize multiple audio features in a single multi-panel image, including mel spectrograms, chroma, MFCC, and HPSS visualizations to quickly extract and review audio characteristics.

Does this audio analysis CLI tool require FFmpeg to process common audio formats?▼

The audio analysis CLI tool supports common audio formats natively and includes optional FFmpeg support, allowing you to process a wider variety of input files for visualization workflows.

What is the best way to visualize multiple audio features in a single image for research?▼

The best way to visualize multiple audio features in one image is using a CLI utility that generates multi-panel outputs, allowing music research and audio engineering workflows to quickly extract and compare features.

Can I use command-line audio feature extraction for data and analytics workflows?▼

Yes, you can use this command-line audio feature extraction tool in data and analytics workflows to generate standard visualizations like mel, chroma, and MFCC outputs from audio files for further analysis.

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