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On noise reduction in the Karhunen-Loève expansion domain

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3 Author(s)
Benesty, J. ; INRS-EMT, Univ. of Quebec, Montreal, QC ; Jingdong Chen ; Huang, Y.A.

In this paper, we study the noise-reduction problem in the Karhunen-Loeve expansion domain. We develop two classes of optimal filters. The first class estimates a frame of speech by filtering the corresponding frame of the noisy speech. We will show that several well-known existing methods belong or are closely related to this category. The second class, which has not been studied before, obtains noise reduction by filtering not only the current frame, but also a number of previous consecutive frames of the noisy speech. We will discuss how to design the optimal noise-reduction filters in each class and demonstrate the properties of the deduced optimal filters.

Published in:

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Date of Conference:

19-24 April 2009