Speech Emotion Recognition: A Comprehensive Survey

被引：0
作者：
Mohammed Jawad Al-Dujaili
Abbas Ebrahimi-Moghadam
机构：
[1] University of Kufa,Departement of Electronic and Communication, Faculty of Engineering
[2] Ferdowsi University of Mashhad,Electrical Engineering Department Faculty of Engineering
来源：
Wireless Personal Communications | 2023年 / 129卷
关键词：
Speech; Emotion recognition; Feature extraction; Feature reduction; Classification; Classification composition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Speech emotion recognition could be considered a new topic in speech processing where he plays that plays an essential role in human interaction. Emotions are a king of speech that recognizes the three significant aspects of designing the speech emotion recognition system. This article reviews the work on speech emotion recognition and is helpful for further research. Firstly, speech emotion recognition databases are described for evaluating system performance. Secondly, the choice of feature is presented in the speech representation. And third is the design of a suitable class. While the section fourth explains the multiple classifier system and its impact on system. In the fifth part of the article, we review the most important challenges in the system speech emotion recognition. The final results obtained from the system function and its constraints are discussed, and we provide directions to improve speech emotion recognition systems.
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收藏
页码：2525 / 2561
页数：36
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