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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…
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…
cs.CL2024
An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios
Cheng Gong, Erica Cooper, Xin Wang +9
Self-supervised learning (SSL) representations from massively multilingual models offer a promising solution for low-resource language speech tasks. Despite advancements, language…