Effect of Speech and Noise Cross Correlation on AMFCC Speech Recognition Features

Abstract

When designing noise robust speech recognition feature extraction algorithms, it is common to assume that the noise and speech signal are uncorrelated. This assumption allows the cross correlation terms to be ignored in the equations that describe the operation of these algorithms, thus making the mathematics more tractable. In this paper, we investigate… (More)
DOI: 10.1109/ICASSP.2007.367249

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