8 citations · 11 across the 7 of their papers we have counts for
8 papers
EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations
Haoqin Sun, Xuechen Wang, Jinghua Zhao +9
In recent years, emotion recognition plays a critical role in applications such as human-computer interaction, mental health monitoring, and sentiment analysis. While datasets for…
Enhancing Multimodal Emotion Recognition through Multi-Granularity Cross-Modal Alignment
Xuechen Wang, Shiwan Zhao, Haoqin Sun +3
Multimodal emotion recognition (MER), leveraging speech and text, has emerged as a pivotal domain within human-computer interaction, demanding sophisticated methods for effective m…
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 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…
Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores
Jiaming Zhou, Shiwan Zhao, Hui Wang +4
The kNN-CTC model has proven to be effective for monolingual automatic speech recognition (ASR). However, its direct application to multilingual scenarios like code-switching, pres…
Fine-grained Disentangled Representation Learning for Multimodal Emotion Recognition
Haoqin Sun, Shiwan Zhao, Xuechen Wang +3
Multimodal emotion recognition (MMER) is an active research field that aims to accurately recognize human emotions by fusing multiple perceptual modalities. However, inherent heter…
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…