AI RESEARCH
Synchronization and Turn-Taking in Full-Duplex Speech Dialogue Models
arXiv CS.CL
•
ArXi:2605.20356v1 Announce Type: new Full-duplex spoken dialogue models (SDMs) can listen and speak simultaneously, enabling interaction dynamics closer to human conversation than turn-based systems. Inspired by neural coupling in human communication, we study how such models coordinate their internal representations during interaction. We simulate full-duplex dialogues between two instances of the pretrained \textit{Moshi} model under controlled conditions, manipulating channel noise and decoding bias.