Accurate and Robust Multimodal Emotion Recognition for Human–Robot Interaction via Dynamic Graph Learning with Pairwise Cross-Modal Alignment
Multimodal emotion recognition in conversation (MERC) aims to identify the emotions in each utterance by modeling textual, acoustic, and visual evidence. Compared with unimodal emotion recognition in conversation (ERC), MERC can leverage complementary textual, acoustic, and visual information to support more accurate a...