J4 ›› 2009, Vol. 26 ›› Issue (4): 398-404.

• Image and Information Proc. • Previous Articles     Next Articles

Application of a Speech Recognition about robust feature which combines wavelet with spectral compression scheme

FU Li-Hui   

  1. Department of Electrical Engineering, Huaiyin Institute of Technology, Jiangsu Huaian 223001,China
  • Received:2008-09-03 Revised:2009-01-12 Published:2009-07-28 Online:2009-06-29

Abstract:

Aimed at the problem of noise in application of speech recognition, a new method of robust feature extraction is presented. The speech was decomposed by wavelet transformation, and it was compressed by spectral compression scheme related to human hearing mask theory. Experimental results of MATLAB simulation showed that high recognition rate could be obtained by using of the new feature in noise environment. It can make the best of robust characteristic of wavelet and reduce the difference between training and recognition environment, so it is a robust feature.

Key words: speech recognition, robust, artificial neural networks, spectral compression

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