most citedChronological Thinking in Full-Duplex Spoken Dialogue Language Models

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cs.CL20261 cited

Chronological Thinking in Full-Duplex Spoken Dialogue Language Models

Donghang Wu, Haoyang Zhang, Chen Chen +8

Recent advances in spoken dialogue language models (SDLMs) reflect growing interest in shifting from turn-based to full-duplex systems, where the models continuously perceive user…

cs.CL20261 cited

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

Donghang Wu, Haoyang Zhang, Jun Chen +9

Real-time Spoken Language Models (SLMs) struggle to leverage Chain-of-Thought (CoT) reasoning due to the prohibitive latency of generating the entire thought process sequentially.…

cs.CL2026

Language-Aware Distillation for Multilingual Instruction-Following Speech LLMs with ASR-Only Supervision

Shreyas Gopal, Donghang Wu, Ashutosh Anshul +5

Speech Large Language Models (LLMs) that understand and follow instructions in many languages are useful for real-world interaction, but are difficult to train with supervised fine…

cs.CL2025

Explainable Disentanglement on Discrete Speech Representations for Noise-Robust ASR

Shreyas Gopal, Ashutosh Anshul, Haoyang Li +3

Discrete audio representations are gaining traction in speech modeling due to their interpretability and compatibility with large language models, but are not always optimized for…

cs.CL2025

Bi-directional Context-Enhanced Speech Large Language Models for Multilingual Conversational ASR

Yizhou Peng, Hexin Liu, Eng Siong Chng

This paper introduces the integration of language-specific bi-directional context into a speech large language model (SLLM) to improve multilingual continuous conversational automa…

cs.CL2025

NTU Speechlab LLM-Based Multilingual ASR System for Interspeech MLC-SLM Challenge 2025

Yizhou Peng, Bin Wang, Yi-Wen Chao +5

This report details the NTU Speechlab system developed for the Interspeech 2025 Multilingual Conversational Speech and Language Model (MLC-SLM) Challenge (Task I), where we achieve…