Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer

Speech emotion recognition (SER) is a challenging task in human–computer interaction (HCI) systems. One of the key challenges in speech emotion recognition is to extract the emotional features effectively from a speech utterance. Despite the promising results of recent studies, they generally do not...

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Bibliografiske detaljer
Main Authors:	Rizwan Ullah, Muhammad Asif, Wahab Ali Shah, Fakhar Anjam, Ibrar Ullah, Tahir Khurshaid, Lunchakorn Wuttisittikulkij, Shashi Shah, Syed Mansoor Ali, Mohammad Alibakhshikenari
Format:	Article
Sprog:	English
Udgivet:	MDPI AG 2023-07-01
Serier:	Sensors
Fag:	speech emotion recognition convolutional neural networks convolutional Transformer encoder multi-head attention spatial features temporal features
Online adgang:	https://www.mdpi.com/1424-8220/23/13/6212

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