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| A New Approach for Speech Enhancement Based On Eigenvalue Spectral Subtraction
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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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Volume: 3 Issue: 4 |
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Pages: 34-82 |
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Publication
Date: August 2009 |
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ISSN
(Online): 1985-2339 |
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Pages |
34 - 41 |
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Author(s) |
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Published
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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: Eigenvalues, singular values decomposition, Spectral Subtraction, Speech enhancement |
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| In this paper, a phase space reconstruction-based method is proposed for speech enhancement. The method embeds the noisy signal into a high dimensional reconstructed phase space and uses Spectral Subtraction idea. The advantages of the proposed method are fast performance, high SNR and good MOS. In order to evaluate the proposed method, ten signals of TIMIT database mixed with the white additive Gaussian noise and then the method was implemented. The efficiency of the proposed method was evaluated by using qualitative and quantitative criteria. |
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| Jamal Ghasemi : Colleagues
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| Karami mollaei : Colleagues
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