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| Noisy Speech Enhancement Using Soft Thresholding on Selected Intrinsic Mode Functions
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Full
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Download
Complete Issue PDF(1.93MB) |
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Volume: 5 Issue: 3 |
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Pages: NULL |
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Publication
Date: July / August 2011 |
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ISSN
(Online): 1985-2339 |
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Pages |
93 - 100 |
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Author(s) |
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Published
Date |
05-08-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Empirical Mode Decomposition, Speech Enhancement, Soft thresholding, Mode-Selection |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Directory of Open Access Journals (DOAJ) |
| 2. Google Scholar |
| 3. Scribd |
| 4. Docstoc |
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| In this paper, a new speech enhancement method is introduced. It is essentially based on the Empirical Mode Decomposition technique (EMD) and a soft thresholding approach applied on selected modes. The proposed method is a fully data driven approach. First the noisy speech signal is decomposed adaptively into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs) by using a time decomposition called sifting process. Second, selected IMFs are soft thresholded and added to the remaining IMFs with the residue to reconstitute the enhanced speech signal. The proposed approach is evaluated using speech signals from NOISEUS database corrupted with additive white Gaussian noise. Our algorithm is compared to other state of the art algorithms. |
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| Hadhami Issaoui : Colleagues
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| Aïcha Bouzid : Colleagues
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| Noureddine Ellouze : Colleagues
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