Academic Journal of Computing & Information Science, 2021, 4(3); doi: 10.25236/AJCIS.2021.040309.
Yuwei Wei1, Linghao Kong2, Xinhang Li3, Mingxuan Pan4, Chengke Tang5, Shicong Sun6
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
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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