• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 3
Jun.  2009
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Article Contents
ZHANG Shiqing, ZHAO Zhijin. Speech Emotion Recognition under Noise Background[J]. Journal of Southwest Jiaotong University, 2009, 22(3): 442-447.
Citation: ZHANG Shiqing, ZHAO Zhijin. Speech Emotion Recognition under Noise Background[J]. Journal of Southwest Jiaotong University, 2009, 22(3): 442-447.

Speech Emotion Recognition under Noise Background

  • Received Date: 29 Feb 2008
  • Publish Date: 20 Jun 2009
  • To efficiently implement emotion recognition in noise speech signals,a new method of speech emotion recognition based on FLSSVM (fuzzy least squares support vector machines) was proposed. With this method,the prosody and voice quality features are extracted from emotional speech,and then FLSSVM is used to construct the optimum separating hyperplane so as to realize the recognition of four main speech emotions,i.e.,anger,happiness,sadness and surprise. Experimental results show that compared with the other methods of speech emotion recognition,FLSSVM can achieve higher accuracies and better anti-noise effects for speech emotion recognition at different levels of signal-to-noise ratio,indicating the efficiency of the proposed method.

     

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