Speech Signal Processing

Publication Details

Title Improved MMSE-Based Noise PSD Tracking Using Temporal Cepstrum Smoothing
Authors Timo Gerkmann, Richard C. Hendriks
Conference Int. Conf. Acoustics, Speech, Signal Processing (ICASSP)
Organization IEEE
Date Mar. 2012
Kyoto, Japan


Recently, it has been shown that  MMSE-based noise power estimation [1] results in an improved noise tracking performance with respect to minimum statistics-based approaches. The MMSE-based approach  employs two estimates of the speech power to estimate the unbiased noise power.

In this work, we   improve  the MMSE-based noise power estimator by employing a more advanced estimator of the speech power based on temporal cepstrum smoothing (TCS). TCS can exploit knowledge about the speech spectral structure.  As a result,   only one speech power estimate is needed   for MMSE-based noise power estimation. Moreover, the presented estimator results in an improved noise tracking performance, especially in babble noise, where SNR improvements of 1 dB over the original MMSE-based approach  can be observed.

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