collaborators

7 papers

eess.AS2026

CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling

Haolong Zheng, Yuanzhuo Hu, Xinyu Liang +7

CHILDES is a large-scale child speech corpus containing long-form recordings of naturalistic child-adult interactions, making it a valuable resource for studying child speech and l…

cs.CL2026

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…

cs.CL2026

ParaBridge: Bridging Paralinguistic Perception and Dialogue Behavior in Speech Language Models

Yuxiang Wang, Qinke Ni, Shengbo Cai +3

Speech carries more information than just words: a child's voice, a fearful tone, or a noisy background should all lead a sufficiently competent spoken-dialogue assistant to differ…

cs.CL2026

Is Text All You Need? Text as a Universal Information Bottleneck for Speech LLMs

Ming-Hao Hsu, Yuxuan Hu, Shujie Liu +3

Large language models (LLMs) provide a powerful reasoning backbone for speech understanding, but integrating continuous acoustic signals into a frozen LLM remains challenging. Exis…

cs.CL2026

Anatomy of the Modality Gap: Dissecting the Internal States of End-to-End Speech LLMs

Ming-Hao Hsu, Xueyao Zhang, Xiaohai Tian +2

Recent advancements in Large Speech-Language Models have significantly bridged the gap between acoustic signals and linguistic understanding. However, a persistent performance disp…

cs.CL2026

Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration

Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang +8

Multilingual speech foundation models such as Whisper are trained on web-scale data, where data for each language consists of a myriad of regional varieties. However, different reg…