Bidirectional Cross-Modal Attention with Adaptive Thresholding for Multimodal Depression Detection Across the EATD-Corpus and DAIC-WOZ Datasets
A deep learning framework for depression screening that jointly leverages audio and text modalities to effectively integrate audio and text features, demonstrating robust performance on small, class-imbalanced datasets and architectural generalizability across two corpora with different languages and interview settings...