Papers with MERMC

1 papers
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations (2023.acl-long)

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Challenge: Recent studies have shown the importance of visual information in multi-party conversations due to the complexity of visual scenes.
Approach: They propose a framework to extract face sequences as visual features from a real speaker's utterance and a pipeline method to extract the face sequence.
Outcome: The proposed framework extracts face sequences of the real speaker of each utterance and improves emotion prediction on the MELD dataset.

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