NDLI: Speech denoising by Adaptive Weighted Average filtering in the EMD framework

Content Provider	IEEE Xplore Digital Library
Author	Khaldi, K. Alouane, M.T.-H. Boudraa, A.-O.
Copyright Year	2008
Description	Author affiliation: Groupe ASM, ENSIETA, Brest (Boudraa, A.-O.) \|\| ENIT, Unite Signaux et Syst., Tunis (Khaldi, K.; Alouane, M.T.-H.)
Abstract	This paper introduces a new speech enhancement method, which combines adaptive center weighted average (ACWA) filter with empirical mode decomposition (EMD). Both ACWA and EMD operate in the time domain. The ACWA filter is advantageous as it operates adaptively in the time domain and does not require the stationarity and the whiteness of the signals. Thanks to the data driven decomposition of the EMD, the application of the ACWA filter on the IMFs gives better results than the ACWA filtering of the noisy signal. The proposed EMD-ACWA denoising method is applied to noisy speech signal with different noise levels and the results are compared to those obtained by two different denoising methods: wavelet thresholds and ACWA filtering. A significant superiority of the EMD-ACWA method over the two others is shown in white noisy contexts as well as in correlated noisy ones.
Starting Page	1
Ending Page	5
File Size	417234
Page Count	5
File Format	PDF
ISBN	9781424426270
DOI	10.1109/ICSCS.2008.4746884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-07
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filtering Wiener filter Noise reduction Adaptive filters Nonlinear filters Speech enhancement Signal processing Frequency Colored noise Noise level
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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