ISCA Archive Interspeech 2006
ISCA Archive Interspeech 2006

MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors

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

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.


doi: 10.21437/Interspeech.2006-71

Cite as: Jensen, J., Hendriks, R.C., Erkelens, J.S., Heusdens, R. (2006) MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors. Proc. Interspeech 2006, paper 1277-Mon2A1O.3, doi: 10.21437/Interspeech.2006-71

@inproceedings{jensen06_interspeech,
  author={J. Jensen and R. C. Hendriks and J. S. Erkelens and R. Heusdens},
  title={{MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors}},
  year=2006,
  booktitle={Proc. Interspeech 2006},
  pages={paper 1277-Mon2A1O.3},
  doi={10.21437/Interspeech.2006-71},
  issn={2958-1796}
}