Noise Spectrum Estimation Based on SNR Discrepancy for Speech Enhancement

Atanu SAHA  Tetsuya SHIMAMURA  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E97-D   No.2   pp.373-377
Publication Date: 2014/02/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E97.D.373
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Speech and Hearing
Keyword: 
speech enhancement,  noise estimation,  SNR discrepancy,  speech presence probability,  

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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.