Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue
[Sztuczna inteligencja] Autorzy: Lichen Zhu, Yueqian Lin, Yiheng Wang i 2 więcej
Full-duplex speech models are trained to converse with a person, but they are increasingly made to converse with each other, in self-play data generation, agent societies, and model-based evaluation. In that loop no human absorbs a timing error: each model's turn-taking is the other's input. We ask what timing the loop settles into. Two PersonaPlex-7B instances exchange audio tokens on a shared clock in unscripted conversation, and one floor-transfer rule is applied to them and to Switchboard. Their timing is coupled: re-pairing speakers across conversations destroys it. But the floor changes hands late, at a median of 400-560 ms against 137 ms for humans, and the last 120 ms of the partner's turn, where human projection places a tenth of its transfers, holds 1% of theirs. Delaying one direction of the channel shifts the response one-for-one and leaves the run-up to it empty, consistent…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja