Speech enhancement with reduction of noise components in the wavelet domain

This paper describes a general problem of removing additive background noise from the noisy speech in the wavelet domain. A semisoft thresholding is used to remove noise components from the wavelet coefficients of noisy speech. To prevent the quality degradation of the unvoiced sounds during the denoising process, the unvoiced region is classified first and then thresholding is applied in a different way. Experimental results demonstrate that the speech enhancement algorithm using the wavelet transform is very promising