Removal Of Noise From Speech Using Wavelet Transform
Jongwon Seok, Keunsung Bae · Journal of Electrical Engineering and Information Science · 1999
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 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. For the noisy speech having SNR of 10 to -10 ㏈, the average SNR improvement of 4 to 10 ㏈ is achieved, and experimental results demonstrate that the speech enhancement algorithm using the wavelet transform is very promising.