Scaling TTS LLMs: Multi-Reward GRPO for Enhanced Stability and Prosody
Analysis
This ArXiv paper explores improvements in text-to-speech (TTS) Large Language Models (LLMs), focusing on stability and prosodic quality. The use of Multi-Reward GRPO suggests a novel approach to training these models, potentially impacting the generation of more natural-sounding speech.
Key Takeaways
- •Investigates the application of Multi-Reward GRPO for training TTS LLMs.
- •Aims to enhance stability and prosodic quality in generated speech.
- •Focuses specifically on single-codebook TTS LLMs, offering a streamlined approach.
Reference / Citation
View Original"The research focuses on single-codebook TTS LLMs."