
A metric learning approach using Siamese Networks can efficiently model conversational context to achieve state-of-the-art performance on emotion recognition in dialogues.


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efficient-emotion-recognition-in-conversations-using-context-aware-siamese-networks


Efficient Emotion Recognition in Conversations using Context-Aware Siamese Networks


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TelME incorporates cross-modal knowledge distillation to transfer information from a powerful text-based teacher model to enhance the representations of weaker audio and visual modalities, and then fuses the multimodal features using an attention-based shifting approach to optimize emotion recognition.


telme-a-teacher-led-multimodal-fusion-network-for-emotion-recognition-in-conversations


TelME: A Teacher-led Multimodal Fusion Network for Emotion Recognition in Conversations
