Estimation of power spectral density using wavelet thresholding
Petr Sysel, Jiří Mišurec · 2008
The basic problem of the single-channel speech enhancement methods lies in a rapid and precise method for estimating noise, on which the quality of enhancement method depends. The paper describes a new method of power spectral density estimation using wavelet transform in spectral domain. To reduce periodogram variance the proposed method use the procedure of thresholding the wavelet coefficients of a periodogram. Then the smoothed estimate of power spectral density of noise is obtained using the inverse discrete wavelet transform.