M3-DuplexBench: A Multi-Turn, Multilingual, Multidomain Benchmark for Full-Duplex Spoken Dialogue Models

arXiv:2607.29125 · cs.CL · Submitted 2026-07-31 · Read on arXiv

Ryo Fukuda, Atsushi Ando, Hiroki Kanagawa, Takatomo Kano, Marc Delcroix, Naohiro Tawara, Yuya Chiba

cs.CL

Submitted: 2026-07-31

Comments: Submitted to SLT 2026

Code: https://github.com/SYSTRAN/faster-whisper

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

Terminology

• Benchmark — 28× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Consistency — 7× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 4× in this paper · explained in 3 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Full-duplex interaction — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes

Sources

• From Turn-Taking to Synchronous Dialogue: A Survey of Full-Duplex Spoken Language Models
• SoulX-Duplug: Plug-and-Play Streaming State Prediction Module for Realtime Full-Duplex Speech Conversation
• CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models
• Robust Speech Recognition via Large-Scale Weak Supervision
• Moshi: a speech-text foundation model for real-time dialogue
• Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
• PersonaPlex: Voice and Role Control for Full Duplex Conversational Speech Models

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