Speech Tokenization is the process of converting continuous audio into smaller units or tokens that AI models can process efficiently during speech recognition or speech generation.
Modern Voice AI models use Speech Tokenization to represent spoken audio in machine-readable formats, enabling end-to-end speech models, multilingual processing, and efficient speech generation.