604 citations · 900 across the 24 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
eess.SP2023★ 1 cited
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition
Yijin Zhou, Fu Li, Yang Li +5
As the key to realizing aBCIs, EEG emotion recognition has been widely studied by many researchers. Previous methods have performed well for intra-subject EEG emotion recognition.…
cs.SD2023
Learning Local to Global Feature Aggregation for Speech Emotion Recognition
Cheng Lu, Hailun Lian, Wenming Zheng +3
Transformer has emerged in speech emotion recognition (SER) at present. However, its equal patch division not only damages frequency information but also ignores local emotion corr…
cs.SD2023
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition
Yan Zhao, Jincen Wang, Yuan Zong +3
In this paper, we propose a novel deep transfer learning method called deep implicit distribution alignment networks (DIDAN) to deal with cross-corpus speech emotion recognition (S…