AMB-DSGDN: Adaptive Modality-Balanced Dynamic Semantic Graph Differential Network for Multimodal Emotion Recognition

Researchers propose AMB-DSGDN, a new AI system for multimodal emotion recognition that uses adaptive modality balancing and differential graph attention mechanisms. The system addresses limitations in existing approaches by filtering noise and preventing dominant modalities from overwhelming the fusion process in text, speech, and visual data.