catsharp-sonification

CatSharp sonification transforms color data into audible sound by mapping hue values to trits, then to pitch classes and frequencies. Run python catsharp-sonification/sonify.py with a hex color and octave number to generate deterministic audio output via sox.

Yes. The Skill provides multilanguage implementations across Python, Julia, and Babashka that all produce identical sonification results through sox, enabling cross-language color-to-sound mapping with seed-based reproducibility.

Hue mapping converts color channel values into trits (base-3 digits), which then map to pitch classes and frequencies. This triadic structure ensures color-to-sound conversions remain consistent and mathematically grounded in Mazzola's Topos of Music framework.

Yes. Sox is required for real-time and batch audio playback across all language implementations. The Skill uses sox as its audio engine to generate and output the sonified waveforms from color data.

Real-time sonification processes color data as it arrives and outputs audio immediately via sox. Batch processing accepts entire color streams, applies deterministic color-to-sound mappings to all values, and generates complete audio files for later playback.

Yes. The Skill guarantees deterministic mappings where the same hex color always produces the same pitch and frequency. Seed-based playback ensures reproducible audio output across multiple runs and languages.