Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference

Jae-Hun CHOI  Joon-Hyuk CHANG  Dong Kook KIM  Suhyun KIM  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E94-A   No.10   pp.2031-2034
Publication Date: 2011/10/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E94.A.2031
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Speech and Hearing
noise estimation,  spectral difference,  sigmoid,  

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In this paper, we propose a spectral difference approach for noise power estimation in speech enhancement. The noise power estimate is given by recursively averaging past spectral power values using a smoothing parameter based on the current observation. The smoothing parameter in time and frequency is adjusted by the spectral difference between consecutive frames that can efficiently characterize noise variation. Specifically, we propose an effective technique based on a sigmoid-type function in order to adaptively determine the smoothing parameter based on the spectral difference. Compared to a conventional method, the proposed noise estimate is computationally efficient and able to effectively follow noise changes under various noise conditions.