Open Access
MATEC Web of Conferences
Volume 35, 2015
2015 4th International Conference on Mechanics and Control Engineering (ICMCE 2015)
Article Number 03007
Number of page(s) 4
Section Computer theory and application
Published online 16 December 2015
  1. Peng Song, Yun Jin, Cheng Zha, and Li Zhao. Speech emotion recognition method based on hidden factor analysis. Electronics Letters, Vol. 51, Issue 1, pp 112-113, ( 2015) [CrossRef] [Google Scholar]
  2. Iihan Aydin, Mehmet Karakose, Erhan Akin. A multi-objective artificial immune algorithm for parameter optimization in support vector machine. Applied Soft Computing, (2011) [Google Scholar]
  3. Zhang wanli, Li guoxin and Gao Wei. The Research of Speech Emotion Recognition Based on Gaussian Mixture Model. Mechanical Components and Control Engineering III, Vol 1, pp. 1126-1129, November (2014) [Google Scholar]
  4. Arun K M, Gopal M. Reduced one-against-all method for multiclass SVM classification. Expert Systems with Application, (2010) [Google Scholar]
  5. Domenico C, Rostita G. Kernel based support vector machine via semidefinite programming: Application to medical diagnosis. Computer&Operations Research, (2010) [Google Scholar]
  6. Maldonado S, Weber R, Basak J. Simultaneous feature selection and classification using kernel-penalized support vector machines. Information Sciences, (2011) [Google Scholar]
  7. Tang Tao, Guo Qing, Yang Mingchuan. Support vector machine based particle swarm optimization localization algorithm in WSN. Journal of Convergence Technology, (2012) [Google Scholar]
  8. Wanli zhang, Li Guoxin. The Research of Feature Extraction Based on MFCC for Speaker Recognition. 3rd International Conference on Computer Science and Network Technology, October ( 2013) [Google Scholar]
  9. Zhang wanli, Li guoxin and Wang Lirong. Application of Improved Spectral Subtraction Algorithm for Speech Emotion Recognition. The 2015 International Workshop on Assistive Engineeringand Information Technologies,(2015) [Google Scholar]

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