Title :
MMSE estimator for speech enhancement considering the constructive and destructive interference of noise
Author :
Hasan, T. ; Hasan, M.K.
Author_Institution :
Dept. of Electr. & Electron. Eng., United Int. Univ., Dhaka, Bangladesh
fDate :
2/1/2010 12:00:00 AM
Abstract :
A new minimum mean square error (MMSE) estimator for discrete cosine transform (DCT) domain speech enhancement considering the two state possibilities of signal and noise DCT coefficients, the constructive and destructive interference, is proposed. Given proper identification of these events are possible, an optimum non-linear MMSE estimator can be derived considering the conditional events. Compared to the previously reported dual-gain multiplicative filters, the proposed estimator demonstrates superior theoretical and experimental performance with respect to mean square error (MSE) improvement and other objective quality measures.
Keywords :
discrete cosine transforms; filtering theory; interference suppression; least mean squares methods; speech enhancement; constructive noise interference; destructive noise interference; discrete cosine transform domain speech enhancement; dual-gain multiplicative filters; minimum mean square error estimator; optimum nonlinear MMSE estimator;
Journal_Title :
Signal Processing, IET
DOI :
10.1049/iet-spr.2008.0114