[1] Wang Rugang, Xu Xinzhou, Huang Chengwei, et al. Speech emotion recognition via discriminant-cascadingdimensionality reduction [J]. Journal of Southeast University (English Edition), 2016, 32 (2): 151-157. [doi:10.3969/j.issn.1003-7985.2016.02.004]

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Speech emotion recognition via discriminant-cascadingdimensionality reduction()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

32

Issue:

2016 2

Page:

151-157

Research Field:

Information and Communication Engineering

Publishing date:

2016-06-20

Info

Title:

Speech emotion recognition via discriminant-cascadingdimensionality reduction

Author(s):

Wang Rugang¹;  2;  Xu Xinzhou¹;  Huang Chengwei¹;  Wu Chen¹;  Zhang Xinran¹;  Zhao Li¹

¹Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China
² College of Information Engineering, Yancheng Institute of Technology, Yancheng 224051, China

Keywords:

speech emotion recognition;  discriminant-cascading locality preserving projections;  discriminant analysis;  dimensionality reduction

PACS:

TN911.72

DOI:

10.3969/j.issn.1003-7985.2016.02.004

Abstract:

In order to accurately identify speech emotion information, the discriminant-cascading effect in dimensionality reduction of speech emotion recognition is investigated. Based on the existing locality preserving projections and graph embedding framework, a novel discriminant-cascading dimensionality reduction method is proposed, which is named discriminant-cascading locality preserving projections(DCLPP). The proposed method specifically utilizes supervised embedding graphs and it keeps the original space for the inner products of samples to maintain enough information for speech emotion recognition. Then, the kernel DCLPP(KDCLPP)is also proposed to extend the mapping form. Validated by the experiments on the corpus of EMO-DB and eNTERFACE’05, the proposed method can clearly outperform the existing common dimensionality reduction methods, such as principal component analysis(PCA), linear discriminant analysis(LDA), locality preserving projections(LPP), local discriminant embedding(LDE), graph-based Fisher analysis(GbFA)and so on, with different categories of classifiers.

References:

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Memo

Memo:

Biographies: Wang Rugang(1975—), male, doctor, associate professor; Zhao Li(corresponding author), male, doctor, professor, zhaoli@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.61231002, 61273266), the Ph.D. Program Foundation of Ministry of Education of China(No.20110092130004), China Postdoctoral Science Foundation(No. 2015M571637).
Citation: Wang Rugang, Xu Xinzhou, Huang Chengwei, et al. Speech emotion recognition via discriminant-cascading dimensionality reduction[J].Journal of Southeast University(English Edition), 2016, 32(2):151-157.doi:10.3969/j.issn.1003-7985.2016.02.004.

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