TurnBench: A Multi-Domain Benchmark for Turn-Taking Dynamics in Spoken Dialogue

arXiv:2608.25218 · eess.AS, cs.CL · Submitted 2026-08-25 · Read on arXiv

eess.AS, cs.CL

Submitted: 2026-08-25

Updated: 2026-09-16

Comments: 8 pages, 2 figures. Accepted to IEEE SLT 2026. v2: camera-ready version

Code: https://github.com/SesameAILabs/turnbench

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 17× in this paper · explained in 2 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Automatic Speech Recognition and Understanding Workshop — 2× in this paper
• Pragmatics — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Voice Activity Detection — 1× in this paper

Sources

• Endpoint Anticipation for Low-Latency Spoken Dialogue
• Moshi: a speech-text foundation model for real-time dialogue
• Full-Duplex-Bench-v3: Benchmarking Tool Use for Full-Duplex Voice Agents Under Real-World Disfluency
• Talking Turns: Benchmarking Audio Foundation Models on Turn-Taking Dynamics
• ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling

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