Speech emotion recognition based on rough set and SVM

被引：0
|
作者：
Zhou, Jian [1 ,2 ]
Wang, Guoyin [2 ]
Yang, Yong [2 ]
Chen, Peijun [1 ,2 ]
机构：
[1] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Inst Comp Sci & Technol, Chongqing 400065, Peoples R China
来源：
PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2 | 2006年
基金：
中国国家自然科学基金;
关键词：
speech emotion recognition; rough set; feature selection; SVM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Speech emotion recognition is becoming more and more important in such computer application fields as health care, children education, etc. There are a few works have been done on speech emotion recognition using such methods as ANN, SVM, etc in the last years. Traditional feature selection method used in speech emotion recognition is computationally too expensive to determine an optimum or suboptimum feature subset. In this paper, a novel approach based on rough set theory and SVM for speech emotion recognition is proposed. The experiment results show this approach can reduce the calculation cost while keeping high recognition rate.
引用
收藏
页码：53 / 61
页数：9
相关论文
共 50 条
  • [1] Important Attributes Selection Based on Rough Set for Speech Emotion Recognition
    Zhou, Jian
    Wang, Guoyin
    Yang, Yong
    [J]. INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE, 2009, 3 (03) : 51 - 60
  • [2] Speech emotion recognition based on HMM and SVM
    Lin, YL
    Wei, G
    [J]. PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 4898 - 4901
  • [3] The SVM based on SMO Optimization for Speech Emotion Recognition
    Meng Hao
    Yan Tianhao
    Yuan Fei
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7884 - 7888
  • [4] An emotion recognition system based on rough set theory
    Yang, Yong
    Wang, Guoyin
    Chen, Peijun
    [J]. Advances in Intelligent IT: Active Media Technology 2006, 2006, 138 : 293 - 297
  • [5] Facial expression recognition based on rough set theory and SVM
    Chen, Peijun
    Wang, Guoyin
    Yang, Yong
    Zhou, Jian
    [J]. ROUGH SETS AND KNOWLEDGE TECHNOLOGY, PROCEEDINGS, 2006, 4062 : 772 - 777
  • [6] An audiovisual emotion recognition system based on rough set theory
    Yang, Yong
    Wang, Guoyin
    Chen, Peijun
    Zhou, Jian
    [J]. PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 690 - 693
  • [7] GMM supervector based SVM with spectral features for speech emotion recognition
    Hu, Hao
    Xu, Ming-Xing
    Wu, Wei
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL IV, PTS 1-3, 2007, : 413 - +
  • [8] Multi-feature Fusion Speech Emotion Recognition Based on SVM
    Zeng, Xiaoping
    Dong, Li
    Chen, Guanghui
    Dong, Qi
    [J]. PROCEEDINGS OF 2020 IEEE 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2020), 2020, : 77 - 80
  • [9] A Research of Speech Emotion Recognition Based on Deep Belief Network and SVM
    Huang, Chenchen
    Gong, Wei
    Fu, Wenlong
    Feng, Dongyu
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [10] Combination of generative models and SVM based classifier for speech emotion recognition
    Chandrakala, S.
    Sekhar, C. Chandra
    [J]. IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 1374 - 1379
12345