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DashFusion: Dual-stream Alignment with Hierarchical Bottleneck Fusion for Multimodal Sentiment Analysis
Yuhua Wen, Qifei Li, Yingying Zhou +4
Multimodal sentiment analysis (MSA) integrates various modalities, such as text, image, and audio, to provide a more comprehensive understanding of sentiment. However, effective MS…
Multi-Loss Learning for Speech Emotion Recognition with Energy-Adaptive Mixup and Frame-Level Attention
Cong Wang, Yizhong Geng, Yuhua Wen +7
Speech emotion recognition (SER) is an important technology in human-computer interaction. However, achieving high performance is challenging due to emotional complexity and scarce…
Deep Learning Approaches for Multimodal Intent Recognition: A Survey
Jingwei Zhao, Yuhua Wen, Qifei Li +8
Intent recognition aims to identify users' underlying intentions, traditionally focusing on text in natural language processing. With growing demands for natural human-computer int…
Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling
Keqi Chen, Zekai Sun, Yuhua Wen +3
The in-context learning capabilities of large language models (LLMs) show great potential in mental health support. However, the lack of counseling datasets, particularly in Chines…