LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems 事件

LLM-Enhanced Dialogue Management for Full-Duplex Spoken Dialogue Systems arXiv:2502.14145v3 Announce Type: replace Abstract: Achieving full-duplex communication in spoken dialogue systems (SDS) requires real-time coordination between listening, speaking, and thinking. This paper proposes a semantic voice activity detection (VAD) module as a dialogue manager (DM) to efficiently manage turn-taking in full-duplex SDS. Implemented as a lightweight (0.5B) LLM fine-tuned on full-duplex conversation d