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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Rizwan Ullah, Muhammad Asif, Wahab Ali Shah, Fakhar Anjam, Ibrar Ullah, Tahir Khurshaid, Lunchakorn Wuttisittikulkij, Shashi Shah, Syed Mansoor Ali, Mohammad Alibakhshikenari
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-07-01
Schriftenreihe:	Sensors
Schlagworte:	speech emotion recognition convolutional neural networks convolutional Transformer encoder multi-head attention spatial features temporal features
Online-Zugang:	https://www.mdpi.com/1424-8220/23/13/6212
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