songsee

Generate spectrograms and MFCC visualizations from audio files by running a CLI tool that processes audio content and outputs feature panels. This simplifies acoustic analysis without requiring custom plotting code.

Visualize multiple audio features like mel and chroma in a single image by creating multi-panel visualization grids. This allows rapid visual inspection and comparison of different audio characteristics simultaneously.

Producing audio spectrograms requires the songsee CLI and a Go toolchain. ffmpeg is optional and only needed for processing audio formats beyond WAV and MP3.

Batch generate audio visualizations for dataset documentation by using a command-line tool that rapidly processes multiple audio files. This produces spectrograms and feature panels for visual comparison across datasets.

This audio visualization tool works for music production and acoustic analysis by generating standard spectrograms and feature panels. It provides visual representations needed to analyze and compare audio content.

Generate mel, chroma, and MFCC panels instead of standard spectrograms to capture different acoustic features beyond frequency. Multi-panel grids reveal distinct audio characteristics useful for research and comparison.