Cross-Corpus Speech Emotion Recognition Based on Transfer Learning and Multi-Loss Dynamic Adjustment

In this paper, we do research on cross-corpus speech emotion recognition (SER), in which the training and testing speech signals come from different speech corpus. The mismatched feature distribution between the training and testing sets makes many classical algorithms unable to achieve better resul...

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Detalles Bibliográficos
Autores principales: Tao, Huawei, Wang, Yang, Zhuang, Zhihao, Fu, Hongliang, Guo, Xinying, Zou, Shuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514941/
https://www.ncbi.nlm.nih.gov/pubmed/36177309
http://dx.doi.org/10.1155/2022/5019384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9514941/
https://www.ncbi.nlm.nih.gov/pubmed/36177309
http://dx.doi.org/10.1155/2022/5019384

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