Multimodal Emotion Recognition

Multimodal Emotion Recognition is an emotion recognition task targeting the IEMOCAP dataset, aiming to enhance the accuracy and robustness of emotion recognition by integrating acoustic (A), textual (T), and visual (V) modal information. This task employs standard five-class emotion classification and uses leave-one-session-out (LOSO) cross-validation for evaluation. It holds significant research and application value, particularly in human-computer interaction, affective computing, and mental health fields.