Rongfeng Su — accepted AI-conference papers

2026

UTI-LLM: A Personalized Articulatory-Speech Therapy Assistance System Based on Multimodal Large Language Model

ICASSP 2026oral

Speech therapy is essential for rehabilitating speech disorders caused by neurological impairments such as stroke. However, traditional manual and computer-assisted systems are limited in real-time accessibility and articulatory motion feedback. Recent advances in multimodal large language models (M…

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2024

An Audio-Textual Diffusion Model for Converting Speech Signals into Ultrasound Tongue Imaging Data

Yudong Yang, Rongfeng Su, Xiaokang Liu, Nan Yan, Lan Wang

ICASSP 2024accepted

Acoustic-to-articulatory inversion (AAI) is to convert audio into articulator movements, such as ultrasound tongue imaging (UTI) data. An issue of existing AAI methods is only using the personalized acoustic information to derive the general patterns of tongue motions, and thus the quality of genera…

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