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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |