A modified a priori SNR for speech enhancement using spectral subtraction rules

Abstract

The letter addresses the problem of single-channel speech enhancement using a spectral subtraction method. The proposed approach is directed toward finding a self-adaptive averaging factor to estimate the a priori SNR. Performance of the modified averaging factor is evaluated using conventional spectral-subtraction algorithms in which the averaging factor is otherwise kept as a constant. Improved results are obtained in terms of speech quality measures for various types of noise and at different SNR levels when the proposed time-frequency varying averaging factor is adapted in the conventional subtraction rules.

DOI: 10.1109/LSP.2004.824017

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@article{Hasan2004AMA, title={A modified a priori SNR for speech enhancement using spectral subtraction rules}, author={M. K. Hasan and S. Salahuddin and M. R. Khan}, journal={IEEE Signal Processing Letters}, year={2004}, volume={11}, pages={450-453} }