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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Bibliographic Details
Main Authors:	Ammar Amjad, Lal Khan, Hsien-Tsung Chang
Format:	article
Language:	EN
Published:	PeerJ Inc. 2021
Subjects:	Speech emotion recognition Feature extraction Feature selection Convolutional neural network Mel-spectrogram Data augmentation Electronic computers. Computer science QA75.5-76.95
Online Access:	https://doaj.org/article/bbf3afa8d45b4e9eb37979e8193d2f28
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Effect on speech emotion classification of a feature selection approach using a convolutional neural network

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