A dual-branch graph model with modality disentanglement and speaker-aware hypergraphs outperforms baselines on IEMOCAP and MELD for multimodal conversational emotion recognition.
In: Pro- ceedings of the AAAI conference on artificial intelligence, vol
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Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition
A dual-branch graph model with modality disentanglement and speaker-aware hypergraphs outperforms baselines on IEMOCAP and MELD for multimodal conversational emotion recognition.