13 citations · 46 across the 16 of their papers we have counts for
11 papers
Uncertainty-Aware Mean Opinion Score Prediction
Hui Wang, Shiwan Zhao, Jiaming Zhou +4
Mean Opinion Score (MOS) prediction has made significant progress in specific domains. However, the unstable performance of MOS prediction models across diverse samples presents on…
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition
Haoqin Sun, Shiwan Zhao, Xiangyu Kong +4
Recognizing emotions from speech is a daunting task due to the subtlety and ambiguity of expressions. Traditional speech emotion recognition (SER) systems, which typically rely on…
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
Shiyao Wang, Shiwan Zhao, Jiaming Zhou +2
Dysarthric speech recognition (DSR) presents a formidable challenge due to inherent inter-speaker variability, leading to severe performance degradation when applying DSR models to…
Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework
Haoqin Sun, Shiwan Zhao, Shaokai Li +7
Multimodal emotion recognition systems rely heavily on the full availability of modalities, suffering significant performance declines when modal data is incomplete. To tackle this…
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Hui Wang, Shiwan Zhao, Xiguang Zheng +1
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech. While recent approaches using pre-trained self-supervised learn…
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
Xuechen Wang, Shiwan Zhao, Yong Qin
Speech Emotion Recognition (SER) is a challenging task due to limited data and blurred boundaries of certain emotions. In this paper, we present a comprehensive approach to improve…