Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

MMSE Estimation of Complex-Valued Discrete Fourier Coefficients with Generalized Gamma Priors

J. Jensen, R. C. Hendriks, J. S. Erkelens, R. Heusdens

Delft University of Technology, The Netherlands

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.

Full 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.