References

• 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
• 2019DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation763 cited
• 2011Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge760 cited
• 2018Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos493 cited
• 2018ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection464 cited
• 2021MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation338 cited
• 2021CTNet: Conversational Transformer Network for Emotion Recognition299 cited
• 2020Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations222 cited
• 2021Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge185 cited
• 2014Survey on audiovisual emotion recognition: databases, features, and data fusion strategies184 cited
• 2020Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network148 cited
• 2021Multimodal Emotion Recognition With Temporal and Semantic Consistency71 cited
• 2019Towards Discriminative Representation Learning for Speech Emotion Recognition47 cited

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