INTERSPEECH 2006 - ICSLP
We consider DFT based techniques for single-channel speech enhancement. Specifically, we derive minimum mean-square error estimators of clean speech DFT coefficients based on generalized gamma prior probability density functions. Our estimators contain as special cases the well-known Wiener estimator and the more recently derived estimators based on Laplacian and two-sided gamma priors. Simulation experiments with speech signals degraded by various additive noise sources verify that the estimator based on the two-sided gamma prior is close to optimal amongst all the estimators considered in this paper.
Bibliographic reference. Jensen, J. / Hendriks, R. C. / Erkelens, J. S. / Heusdens, R. (2006): "MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors", In INTERSPEECH-2006, paper 1277-Mon2A1O.3.