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9 September 2015 Robust estimators for speech enhancement in real environments
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Abstract
Common statistical estimators for speech enhancement rely on several assumptions about stationarity of speech signals and noise. These assumptions may not always valid in real-life due to nonstationary characteristics of speech and noise processes. We propose new estimators based on existing estimators by incorporation of computation of rank-order statistics. The proposed estimators are better adapted to non-stationary characteristics of speech signals and noise processes. Through computer simulations we show that the proposed estimators yield a better performance in terms of objective metrics than that of known estimators when speech signals are contaminated with airport, babble, restaurant, and train-station noise.
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Yuma Sandoval-Ibarra, Victor H. Diaz-Ramirez, and Vitaly Kober "Robust estimators for speech enhancement in real environments", Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 959813 (9 September 2015); https://doi.org/10.1117/12.2188408
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