UCEMA: Uni-modal and cross-modal encoding network based on multi-head attention for emotion recognition in conversation

It is noteworthy that the proposed framework effectively balances intra-modal emotional orientation information, inter-modal emotional association information, and context-related cues, thereby demonstrating superior performance in recognition accuracy compared to current state-of-the-art (SOTA) models.