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SALMONN-duo: Adaptive Dual-System Coordination for Full-Duplex Voice Agents
Wenyi Yu, Siyin Wang, Terumi Chiba +5
Full-duplex speech large language models (LLMs) enable low-latency, natural voice interaction. However, real-world agents must also use tools and perform deliberative reasoning-ope…
Entity Binding Failures in Speech LLM Reasoning: Diagnosis and Chain-of-Thought Intervention
Ming-Hao Hsu, Xiaohai Tian, Jun Zhang +1
Speech Large Language Models (SLLMs) underperform their text counterparts on complex reasoning. We reveal that this gap is not a uniform cognitive deficit. Evaluating two architect…
Geometric Alignment without Functional Equivalence: A Layer-wise Analysis of the Speech-Text Modality Gap
Ming-Hao Hsu, Xueyao Zhang, Xiaohai Tian +4
End-to-end speech large language models (LLMs) often answer the same question less accurately from speech than from text, even when the spoken content matches the text prompt. Exis…
SALMONN-omni: A Standalone Speech LLM without Codec Injection for Full-duplex Conversation
Wenyi Yu, Siyin Wang, Xiaoyu Yang +7
In order to enable fluid and natural human-machine speech interaction, existing full-duplex conversational systems often adopt modular architectures with auxiliary components such…