Frontend Attributes Disentanglement for Speech Emotion Recognition
Author:
Affiliation:
1. University of Science and Technology of China,National Engineering Laboratory for Speech and Language Information Processing,Hefei,China
2. iFLYTEK CO., LTD,iFLYTEK Research,Hefei,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746691.pdf?arnumber=9746691
Reference26 articles.
1. Joint transfer subspace learning and feature selection for cross-corpus speech emotion recognition;song;ICASSP 2018,2018
2. Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
3. Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
4. Cross-corpus acoustic emotion recognition from singing and speaking: A multi-task learning approach
5. Modeling gender information for emotion recognition using Denoising autoencoder
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
2. A Novel Emotion Recognition Model based on Speech Processing;2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2023-05-25
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