Revolutionizing Voice Synthesis: LLM-Powered TTS Models Take Center Stage

This is an exciting exploration into building a text-to-speech (TTS) model using cutting-edge techniques! By integrating a Large Language Model (LLM) with a specialized audio encoder, the researcher aims to create a more efficient and expressive voice synthesis system. The use of conditional flow matching is a particularly innovative approach.

• •The model utilizes an LLM (Qwen 0.6B) to process text and speech prompts.
• •It employs Encodec to convert audio into discrete tokens, essential for LLM processing.
• •Conditional Flow Matching is used to refine the generated audio latents, leading to more natural-sounding speech.