Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
Author:
Affiliation:
1. Fudan University, Shanghai, China
2. Harbin Institute of Technology, Shenzhen, China
3. Xiamen University, Xiamen, China
Funder
STI2030-Major Projects
National Natural Science Foundation of China
Shanghai Municipal of Science and Technology Project
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3611704
Reference52 articles.
1. Arya Aftab , Alireza Morsali , Shahrokh Ghaemmaghami , and Benoît Champagne . 2022 . LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition. In ICASSP 2022 , Virtual and Singapore, 23- -27 May 2022. IEEE, 6912--6916. Arya Aftab, Alireza Morsali, Shahrokh Ghaemmaghami, and Benoît Champagne. 2022. LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition. In ICASSP 2022, Virtual and Singapore, 23--27 May 2022. IEEE, 6912--6916.
2. Survey on speech emotion recognition: Features, classification schemes, and databases
3. A database of German emotional speech
4. IEMOCAP: interactive emotional dyadic motion capture database
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