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

Paper recorded by Signals 4 on 2026-10-06 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-06 on arXiv · recorded by Signals 4 on 2026-10-07

Category: cs.AI · 人工智能 · first seen 2026-10-07

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 cl

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#415 most recent of 960 cs.AI papers we have recorded · ↑ newer: ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science A · ↓ older: Secure Speculative Decoding for Large Language Models
Cite this page: Coupled but Late: Turn-Taking Between Full-Duplex Speech Models in Unscripted Dialogue: the #415 most recent of 960 cs.AI papers we have recorded (as of 2026-10-06). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/coupled-but-late-turn-taking-between-full-duplex-speech-models-in-unscripted-dia.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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