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原始数据层(AI 与用户都不会覆盖这些字段)
❔ 待判断 商业/企业动态 AI 状态:已分析 综合价值 3.8 / 5
来源
arXiv 人工智能预印本(Atom)(arXiv · INTL)
发布时间
2026-10-07 01:03
采集时间
2026-10-07 14:51
语言
en
地域置信度
20%
原始链接
https://arxiv.org/abs/2610.08683v1
内容指纹
8c8cda762d210ca44cff87f91f2c953452584ee714a3d19333f51a75d66a93c5

AI 整理

分析于 2026-10-07 14:51(第 1 版,来源:offline)

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.

为什么值得关注:属于企业动态,反映产业投入方向

趋势标签: timing converse other human

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评论不会自动变成正式思想,需要在「思想输入」页主动确认沉淀(§41)

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原始内容

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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.

事件演化

同一事件的后续报道、状态变化与版本记录
2026-10-07 首次出现
Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue

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