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Effect on speech emotion classification of a feature selection approach using a convolutional neural network
Speech emotion recognition (SER) is a challenging issue because it is not clear which features are effective for classification. Emotionally related features are always extracted from speech signals for emotional classification. Handcrafted features are mainly used for emotional identification from...
Autores principales: | Amjad, Ammar, Khan, Lal, Chang, Hsien-Tsung |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576551/ https://www.ncbi.nlm.nih.gov/pubmed/34805511 http://dx.doi.org/10.7717/peerj-cs.766 |
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