MultiTalk: Scaling Full-Duplex Speech Models to Long, Multi-Party, Bilingual Conversation

arXiv:2609.36903 · cs.CL, cs.AI, cs.SD · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI, cs.SD

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 37× in this paper · explained in 2 episodes
• Alignment — 20× in this paper · explained in 1 episode
• Core — 7× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 4 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Montreal Forced Aligner — 4× in this paper
• Accuracy — 3× in this paper · explained in 1 episode
• LLM judge — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Actionability — 2× in this paper · explained in 3 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Institutional Review Board — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Verification — 2× in this paper · explained in 2 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Dual-Stream Architecture — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• LLaMA-Omni: Seamless Speech Interaction with Large Language Models
• LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
• Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner
• Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Models
• Full-Duplex-Bench: A Benchmark to Evaluate Full-duplex Spoken Dialogue Models on Turn-taking Capabilities
• Qwen2.5-Omni Technical Report
• MiniCPM-V: A GPT-4V Level MLLM on Your Phone
• IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech

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