Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
994-998

Forecast of PAD dimensions using clustering PSO-LSSVM model

Hu Yanxiang
Sun Ying
Zhang Xueying
Duan Shufei
College of Information & Computer, Taiyuan University of Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0735

Abstract

In view of the imprecision problem for PAD(pleasure, arousal, dominance) prediction, this paper proposed clustering PSO-LSSVM model combining LSSVM optimized by PSO and affective clustering analysis. Firstly, it selected three emotion speeches of TYUT2.0 emotional speech database and Berlin voice library, and extracted emotion features. It established single emotional dimension PSO-LSSVM models for three single emotion and the mixed emotion dimension PSO-LSSVM model for three emotions based on emotion features and P, A and D values. The method used mixed emotion dimension PSO-LSSVM model to predict the P, A and D values of the test set, and calculated the distance between the predictive PAD and the PAD of the basic emotion. Finally it clustered the emotion whose distance was greater than the threshold into mixed emotion, and clustered the emotion whose distance was less than the threshold into the nearest emotions, then used the corresponding emotional dimension regression model to predict its P, A and D. The research shows that the predictive error of clustering PSO-LSSVM regression model to P, A and D is smaller than that of LSSVM and PSO-LSSVM model, and the correlation between the predicted value and the tagged value is stronger. So the clustering PSO-LSSVM regression model is more reliable and accurate in predicting P, A and D values.

Foundation Support

国家自然科学基金资助项目(61371193)
山西省青年基金资助项目(2013021016-2)
山西省研究生教育创新项目(2018SY021)
山西省应用研究青年基金资助项目(201601D202045)
山西省回国留学人员科研资助项目(201925)
山西省自然科学基金面上项目(201901D111096)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0735
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Algorithm Research & Explore
Pages: 994-998
Serial Number: 1001-3695(2020)04-008-0994-05

Publish History

[2020-04-05] Printed Article

Cite This Article

胡艳香, 孙颖, 张雪英, 等. 基于聚类PSO-LSSVM模型的PAD维度预测 [J]. 计算机应用研究, 2020, 37 (4): 994-998. (Hu Yanxiang, Sun Ying, Zhang Xueying, et al. Forecast of PAD dimensions using clustering PSO-LSSVM model [J]. Application Research of Computers, 2020, 37 (4): 994-998. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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