Trends in speech emotion recognition: a comprehensive survey

Among the other modes of communication, such as text, body language, facial expressions, and so on, human beings employ speech as the most common. It contains a great deal of information, including the speaker’s feelings. Detecting the speaker’s emotions from his or her speech has shown to be quite...

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Bibliographic Details
Published in:Multimedia tools and applications 2023-08, Vol.82 (19), p.29307-29351
Main Authors: Kaur, Kamaldeep, Singh, Parminder
Format: Article
Language:English
Subjects:
Classification
Communication
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Emotion recognition
Emotions
Feature extraction
Human communication
Multimedia
Multimedia Information Systems
Nervous system
Special Purpose and Application-Based Systems
Speech
Speech recognition
Trends
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Summary:Among the other modes of communication, such as text, body language, facial expressions, and so on, human beings employ speech as the most common. It contains a great deal of information, including the speaker’s feelings. Detecting the speaker’s emotions from his or her speech has shown to be quite useful in a variety of real-world applications. The dataset development, feature extraction, feature selection/dimensionality reduction, and classification are the four primary processes in the Speech Emotion Recognition process. In this context, more than 70 studies are thoroughly examined in terms of their databases, emotions, features extracted, and classifiers employed. The databases, characteristics, extraction and classification methods, as well as the results, are all thoroughly examined. The study also includes a comparative analysis of these research papers.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-023-14656-y