Jiandong Shi

MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition

Multimodal emotion recognition aims to identify emotions by integrating multimodal features derived from spoken utterances. However, existing work often neglects the calibration of conversational entities, focusing mainly on extracting potential intra- or cross-modal information. This leads to the u