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Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference

Title
Speech Enhancement Based on Adaptive Noise Power Estimation Using Spectral Difference
Author
장준혁
Keywords
noise estimation; spectral difference; sigmoid
Issue Date
2011-12
Publisher
Institute of Electronics, Information and Communication Engineers
Citation
IEICE transactions on fundamentals of electronics, communications and computer sciences, 2011, 94(10), P.2031-2034
Abstract
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.
URI
https://www.jstage.jst.go.jp/article/transfun/E94.A/10/E94.A_10_2031/_article/-char/ja/http://hdl.handle.net/20.500.11754/65852
ISSN
0916-8508
DOI
10.1587/transfun.E94.A.2031
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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