songsee

You generate a spectrogram by running a audio visualization tool on your audio file to render a visual grid. This visualizes frequency evolution, supporting analysis, debugging, and documentation of the track.

You can visualize features such as mel, chroma, and MFCC for music analysis. These multi-panel visualizations help inspect timbre, harmony, and spectral characteristics to verify a track's structure.

Yes, you can analyze rhythm and tempo by visualizing audio. Generating visualizations like tempograms and self-similarity matrices allows you to inspect the rhythm and structural progression of a track.

Audio visualization can support formats beyond WAV and MP3 if you optionally rely on ffmpeg. This extends the capability to render spectrograms and other visual panels from varied audio formats.

Yes, you need a CLI tool capable of rendering multiple visualization panels to generate these outputs. This allows you to render spectrogram, mel, chroma, and MFCC visuals from input audio.