ML-SAN: Multi-Level Speaker-Adaptive Network for Emotion Recognition in Conversations

arXiv:2604.25383v1 Announce Type: cross Abstract: To establish empathy with machines, it is essential to fully understand human emotional changes. However, research in multimodal emotion recognition often overlooks one problem: individual expressive traits vary significantly, which means that different people may express emotions differently. In our daily lives, we can see this. When communicating with different people, some express "happiness" through their facial expressions and words, while o