Strong Generalized Speech Emotion Recognition Based on Effective Data Augmentation

The absence of labeled samples limits the development of speech emotion recognition (SER). Data augmentation is an effective way to address sample sparsity. However, there is a lack of research on data augmentation algorithms in the field of SER. In this paper, the effectiveness of classical acousti...

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Detalles Bibliográficos
Autores principales: Tao, Huawei, Shan, Shuai, Hu, Ziyi, Zhu, Chunhua, Ge, Hongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857941/
https://www.ncbi.nlm.nih.gov/pubmed/36673208
http://dx.doi.org/10.3390/e25010068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857941/
https://www.ncbi.nlm.nih.gov/pubmed/36673208
http://dx.doi.org/10.3390/e25010068

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