Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue

Lichen Zhu, Yueqian Lin, Yiheng Wang, Hai "Helen" Li, Yiran Chen
10/6/2026
cs.AI

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Abstract

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 with a reactive wait after the perceived end rather than the turn-end projection human timing requires.

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Cite this paper

@article{zhu2026coupled,
  title  = {Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue},
  author = {Lichen Zhu and Yueqian Lin and Yiheng Wang and Hai "Helen" Li and Yiran Chen},
  year   = {2026},
  eprint = {2610.08683},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2610.08683v1}
}

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