4 papers
Learning to Attend to Depression-Related Patterns: An Adaptive Cross-Modal Gating Network for Depression Detection
Hangbin Yu, Yudong Yang, Rongfeng Su +2
Automatic depression detection using speech signals with acoustic and textual modalities is a promising approach for early diagnosis. Depression-related patterns exhibit sparsity i…
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…
Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection
Rongfeng Su, Changqing Xu, Xinyi Wu +4
Previous studies have demonstrated that emotional features from a single acoustic sentiment label can enhance depression diagnosis accuracy. Additionally, according to the Emotion…