Robust estimators for speech enhancement in real environments

Yuma Sandoval-Ibarra; Victor H. Diaz-Ramirez; Vitaly Kober

doi:10.1117/12.2188408

9 September 2015 Robust estimators for speech enhancement in real environments

Yuma Sandoval-Ibarra, Victor H. Diaz-Ramirez, Vitaly Kober

Proceedings Volume 9598, Optics and Photonics for Information Processing IX; 959813 (2015) https://doi.org/10.1117/12.2188408
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

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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