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You can generate audio visualizations by running a CLI tool that renders multi-panel plots of spectrograms, mel, chroma, and MFCCs directly from your input audio files. This approach facilitates quick analysis, production debugging, and visual documentation of audio processing workflows.

For music analysis, you can visualize spectrograms alongside mel, chroma, MFCCs, loudness, tempogram, flux, HPSS, and self-similarity matrices. These multi-panel plots help you compare different processing steps or track segments side by side.

You need Go installed to set up the visualization CLI, and you need ffmpeg as an optional dependency to handle unsupported audio formats. This environment setup allows you to process and render visualizations from various input audio files.

Yes, you can specify output formats and visualization types by using the --viz and --format options in the CLI. This allows you to customize the generated multi-panel plots to include specific audio features like MFCCs or spectrograms for your documentation.

The best way to compare audio processing steps is to generate multi-panel visualizations of features like spectrograms, mel, and chroma side by side. This visual documentation allows you to quickly analyze track segments and identify differences in your processing pipeline.