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cs.CV2024★ 1 cited
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content
Sheng Wu, Xiaobao Wang, Longbiao Wang +2
Multimodal Sentiment Analysis (MSA) stands as a critical research frontier, seeking to comprehensively unravel human emotions by amalgamating text, audio, and visual data. Yet, dis…
eess.AS2024
Progressive Residual Extraction based Pre-training for Speech Representation Learning
Tianrui Wang, Jin Li, Ziyang Ma +8
Self-supervised learning (SSL) has garnered significant attention in speech processing, excelling in linguistic tasks such as speech recognition. However, jointly improving the per…
cs.MM2024
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations
Sheng Wu, Jiaxing Liu, Longbiao Wang +3
Emotion Recognition in Conversations (ERC) is a popular task in natural language processing, which aims to recognize the emotional state of the speaker in conversations. While curr…