• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Speech Recognition Based on MVDR and ICA

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  • (1.Department of Computer Science and Technology,Binzhou University,Binzhou 256600;
    2.Department of Electromechanical Engineering,Weihai Vocational College,Weihai 264210,China)

Received date: 2009-04-29

  Revised date: 2009-10-10

  Online published: 2010-07-28

Abstract

This paper discusses a modeling method of Minimum Variance Distortionless Response(MVDR),which compares with the linear predictive method. The result is that the Minimum Variance Distortionless Response filter can afford better original speech envelope. On the basis of studying ICA and FastICA, the MVDR parameter pickingup method is combined with independent component analysis, which compares with the  traditional speech recognition under the conditions with noise and without noise, and the data are analyzed. The MVDR parameter pickingup method can improve the distinguishing rate of the speech recognition system, but increases the mean recognition time;and the speech recognition system with the ICA characteristic transform is more robust.

Cite this article

MA Zhen1,TAN Yewu1,TAO Lihui2,ZHU Qian1 . Speech Recognition Based on MVDR and ICA[J]. Computer Engineering & Science, 2010 , 32(8) : 158 -160 . DOI: 10.3969/j.issn.1007130X.2010.

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