Method of denoising signal mixtures

Data processing: speech signal processing – linguistics – language – Speech signal processing – For storage or transmission

Reexamination Certificate

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C704S233000, C381S094300, C381S094700

Reexamination Certificate

active

06901363

ABSTRACT:
Disclosed is a method of denoising signal mixtures so as to extract a signal of interest, the method comprising receiving a pair of signal mixtures, constructing a time-frequency representation of each mixture, constructing a pair of histograms, one for signal-of-interest segments, the other for non-signal-of-interest segments, combining said histograms to create a weighting matrix, rescaling each time-frequency component of each mixture using said weighting matrix, and resynthesizing the denoised signal from the reweighted time-frequency representations.

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Jourjine, Alexander, Rickard, Scott, Yilmaz, Ozgur. “Blind Separation of Disjoint Orthogonal Signals: Demixing N Sources from 2 Mixtures”, IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 2985-2988, Jun. 5-9, 2000.*
Rickard, Scott, Dietrich, Frank. “DOA Estimation of Many W-Disjoint Orthogonal Sources from Two Mixtures Using DUET”, Proceedings of the 10th IEEE Workshop on Statistical Signal and Array Processing, pp. 311-314, Aug. 14-16, 2000.*
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