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deep learning of segment-level feature representation for speech emotion recognition in conversations
Accurately detecting emotions in conversation is a necessary yet challenging task due to the complexity of emotions and dynamics in dialogues.
cross-modal fusion techniques for utterance-level emotion recognition from text and speech
Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different modalities.
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