1 citations · 1 across the 4 of their papers we have counts for
5 papers
UTI-LLM: A Personalized Articulatory-Speech Therapy Assistance System Based on Multimodal Large Language Model
Yudong Yang, Xiaokang Liu, Shaofeng zhao +3
Speech therapy is essential for rehabilitating speech disorders caused by neurological impairments such as stroke. However, traditional manual and computer-assisted systems are lim…
Magnitude and Phase-based Feature Fusion Using Co-attention Mechanism for Speaker recognition
Rongfeng Su, Mengjie Du, Xiaokang Liu +2
Phase-based features related to vocal source characteristics can be incorporated into magnitude-based speaker recognition systems to improve the system performance. However, tradit…
An End-To-End Stuttering Detection Method Based On Conformer And BILSTM
Xiaokang Liu, Changqing Xu, Yudong Yang +2
Stuttering is a neurodevelopmental speech disorder characterized by common speech symptoms such as pauses, exclamations, repetition, and prolongation. Speech-language pathologists…
Automatic Assessment of Dysarthria Using Audio-visual Vowel Graph Attention Network
Xiaokang Liu, Xiaoxia Du, Juan Liu +7
Automatic assessment of dysarthria remains a highly challenging task due to high variability in acoustic signals and the limited data. Currently, research on the automatic assessme…
An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Data
Yudong Yang, Rongfeng Su, Xiaokang Liu +2
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 usin…