Speech Signal Processing
|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) |
|Place ||Kyoto, Japan |
Recently, it has been shown that MMSE-based noise power estimation  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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