Noise Spectrum Estimation Based on SNR Discrepancy for Speech Enhancement

Abstract

Atanu SAHA†a) , Nonmember and Tetsuya SHIMAMURA †b) , Member SUMMARY This letter proposes a noise spectrum estimation algorithm for speech enhancement. The algorithm incorporates the speech presence probability, which is calculated from SNR (signal-to-noise ratio) discrepancy. The discrepancy is measured based on the estimation of the a priori and a posteriori SNR. The proposed algorithm is found to be effective in rapidly switched noise environments. This is confirmed by the experimental results which indicate that the proposed algorithm when integrated in a speech enhancement scheme performs better than conventional noise estimation algorithms. key words: speech enhancement, noise estimation, SNR discrepancy, speech presence probability