Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning

ArXi:2603.15981v1 Announce Type: cross Speech large language models (LLMs) observe paralinguistic cues such as prosody, emotion, and non-verbal sounds--crucial for intent understanding. However, leveraging these cues faces challenges: limited