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Adaptive Wavelet Denoising For Speech Rocognition in Car Interior Noise  

김이재 (한양대학교 School of Electrical and Computer Engineering)
양성일 (한양대학교 School of Electrical and Computer Engineering)
Kwon, Y. (한양대학교 Department of Physics)
Jarng, Soon S. (조선대학교 Department of Control and Implementation Engineering)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.4, 2002 , pp. 178-178 More about this Journal
Abstract
In this paper, we propose an adaptive wavelet method for car interior noise cancellation. For this purpose, we use a node dependent threshold which minimizes the Bayesian risk. We propose a noise estimation method based on spectral entropy using histogram of intensity and a candidate best basis instead of Donoho's best bases. And we modify the hard threshold function. Experimental results show that the proposed algorithm is more efficient, especially to heavy noisy signal than conventional one.
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