On the Application of Recent Results in Statistical Decision and Estimation Theory to Perceptual Filtering of Noisy Speech Signals
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چکیده
This paper combines perceptual filtering to recent results in statistical decision and estimation theory in order to denoise speech signals corrupted by additive and independent white Gaussian noise. The resulting technique requires no Voice Activity Detector and its performance is significantly close to that obtained when the noise standard deviation is known and the masking threshold computed on the basis of the clean speech signals.
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تاریخ انتشار 2006