A three-stage speech and text model with LLM-generated pseudo-labels on ASR transcripts reports state-of-the-art weighted F1 on MELD and CMU-MOSI.
K-EmoCon, a multimodal sensor dataset for contin- uous emotion recognition in naturalistic conversations,
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LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations
A three-stage speech and text model with LLM-generated pseudo-labels on ASR transcripts reports state-of-the-art weighted F1 on MELD and CMU-MOSI.