Yujie Guo

A unified post-training framework that equips pretrained text-to-speech models with natural-language control over segment-level emotion and duration is proposed, highlighting post-training as a practical approach to extending existing speech synthesis models.

Bridging the gap between transient experience and persistent capabilities, SPEE enables LLMs to self-improve by evolving their knowledge through a unique experience distillation process.