Title :
A single-channel noise reduction MVDR filter
Author :
Benesty, Jacob ; Huang, Yiteng
Author_Institution :
INRS-EMT, Univ. of Quebec, Montreal, QC, Canada
Abstract :
Most existing approaches for single-channel noise reduction in the frequency domain via the short-time Fourier transform (STFT) assume that consecutive time-frames are uncorrelated with each other. As a result, algorithms based on this assumption do not, obviously, take the interframe correlation into account. In this paper, we pro pose a framework that considers this interframe correlation. An important consequence in including this useful information, is that now it is possible to derive a (single-channel) minimum variance distortionless response (MVDR) filter for noise reduction. The experimental study shows impressive results.
Keywords :
Fourier transforms; correlation theory; filtering theory; frequency-domain analysis; speech enhancement; STFT; frequency domain analysis; interframe correlation; minimum variance distortionless response filter; short-time Fourier transform; single-channel noise reduction MVDR filter; time-frame; Correlation; Narrowband; Noise reduction; Optical noise; Signal to noise ratio; Speech; Single-channel noise reduction; frequency domain; interframe correlation; minimum variance distortionless response (MVDR) filter; speech enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946393