ML-SAN: Multi-Level Speaker-Adaptive Network for Emotion Recognition in Conversations
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 others may hide their happiness or express it through their actions. Both are expressions of 'happiness,' but such differences in emotional expression are still too difficult for machines to distinguish. Current emotion recognition remains at a 'st...
| Authors | Kexue Wang, Yinfeng Yu, Liejun Wang |
|---|---|
| Primary category | cs.SD |
| Published | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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