Multi-branch feature learning based speech emotion recognition using SCAR-NET

Multi-branch feature learning based speech emotion recognition using SCAR-NET

Speech emotion recognition (SER) is an active research area in affective computing. Recognizing emotions from speech signals helps to assess human behaviour, which has promising applications in the area of human-computer interaction. The performance of deep learning-based SER methods relies heavily...

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Bibliographic Details
Main Authors: Keji Mao, Yuxiang Wang, Ligang Ren, Jinhong Zhang, Jiefan Qiu, Guanglin Dai
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Connection Science
Subjects:
affective computing
speech emotion recognition
convolutional neural network
parallel paths
feature learning
Online Access:http://dx.doi.org/10.1080/09540091.2023.2189217

Internet

http://dx.doi.org/10.1080/09540091.2023.2189217

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