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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Bibliographic Details
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
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
speech emotion recognition
convolutional neural networks
convolutional Transformer encoder
multi-head attention
spatial features
temporal features
Online Access:https://www.mdpi.com/1424-8220/23/13/6212

Internet

https://www.mdpi.com/1424-8220/23/13/6212

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