Title :
Wavelet speech enhancement based on the Teager energy operator
Author :
Bahoura, Mohammed ; Rouat, Jean
Author_Institution :
ERMETIS, Quebec Univ., Chicoutimi, Que., Canada
Abstract :
We propose a new speech enhancement method based on the time adaption of wavelet thresholds. The time dependence is introduced by approximating the Teager energy of the wavelets coefficients. This technique does not require an explicit estimation of the noise level or of the a priori knowledge of the SNR, which is usually needed in most of the popular enhancement methods. Performance of the proposed method is evaluated on speech recorded in real conditions and with artificial noise.
Keywords :
speech enhancement; wavelet transforms; Teager energy operator; artificial noise; denoising; speech enhancement; time adapted threshold; wavelet thresholds; wavelets coefficients; Filter bank; Noise level; Noise reduction; Speech analysis; Speech enhancement; Wavelet analysis; Wavelet coefficients; Wavelet domain; Wavelet packets; Wavelet transforms;
Journal_Title :
Signal Processing Letters, IEEE