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...

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Autores principales: Ammar Amjad, Lal Khan, Hsien-Tsung Chang
Formato: article
Lenguaje:EN
Publicado: PeerJ Inc. 2021
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Acceso en línea:https://doaj.org/article/bbf3afa8d45b4e9eb37979e8193d2f28
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