Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022)

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Emotion Recognition in Human Voice Speech Based on Machine Learning

Authors
Xiaorui Wang1, *
1City University of Hong Kong, Kowloon, Hong Kong
*Corresponding author. Email: xwang2456-c@my.cityu.edu.hk
Corresponding Author
Xiaorui Wang
Available Online 16 December 2022.
DOI
10.2991/978-2-494069-45-9_19How to use a DOI?
Keywords
Emotion recognition; Machine learning; Emotion feature extraction; Classification algorithms
Abstract

Emotion recognition of speech is the basis of human-computer interaction interface, and has also made remarkable development in the past decade. This paper summarizes the preprocessing and feature extraction methods and different existing emotion models and database. The speech is collected and converted into signals, and then the extracted features are identified through the speech recognition model. It also explains the still existing shortcomings at the present stage, such as emotional complexity and high-quality emotional corpus is difficult to obtain. In addition, this paper also introduces the future development and optimization direction of speech emotion recognition. It’s important for researchers to accurately describe the association between emotion and acoustic characteristics, and construct a recognition model that is reasonable and as close to the emotion processing mechanism of human brain.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
16 December 2022
ISBN
10.2991/978-2-494069-45-9_19
ISSN
2352-5398
DOI
10.2991/978-2-494069-45-9_19How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaorui Wang
PY  - 2022
DA  - 2022/12/16
TI  - Emotion Recognition in Human Voice Speech Based on Machine Learning
BT  - Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022)
PB  - Atlantis Press
SP  - 149
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-45-9_19
DO  - 10.2991/978-2-494069-45-9_19
ID  - Wang2022
ER  -