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Academic Journal of Computing & Information Science, 2021, 4(3); doi: 10.25236/AJCIS.2021.040309.

The Emotion Recognition System Based on Support Vector Machines


Yuwei Wei1, Linghao Kong2, Xinhang Li3, Mingxuan Pan4, Chengke Tang5, Shicong Sun6

Corresponding Author:
Yuwei Wei

1Xidian University, Xi'an, Shaanxi, China

2Southwest Jiaotong University, Chengdu, Sichuan, China

3Shanghai University of Engineering Science, Shanghai, China

4The Chinese University of Hong Kong, Shenzhen, Shenzhen, Guangdong, China

5University of Nottingham Ningbo China, Ningbo, Zhejiang, China

6Southwest University, Chongqing, China


Now speech recognition plays an important role in the filed of human-computer interaction. As the main way to communicate with each other in daily life, voice carries a wealth of emotional information. It is necessary for artificial intelligence to process these information to reach better interaction. In this article, we aim to study a speech emotion recognition system based on support vector machines(SVM), which can recognize different emotions through people’s voice to help people manage their emotions by analysing changes of their emotions. To achieve this goal, we have built a small Chinese voice database including four emotions, each from six different people. We wrote the Matlab program to complete speech feature parameters extraction, model training and emotion recognition, thus realizing the emotion classification of the speech signal.


emotion recognition, support vector machines(SVM), extract characteristic parameters

Cite This Paper

Yuwei Wei, Linghao Kong, Xinhang Li, Mingxuan Pan, Chengke Tang, Shicong Sun. The Emotion Recognition System Based on Support Vector Machines. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 3: 60-64. https://doi.org/10.25236/AJCIS.2021.040309.


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