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A New Approach for Speech Enhancement Based On Eigenvalue Spectral Subtraction
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Signal Processing: An International Journal (SPIJ)
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Volume:  3    Issue:  4
Pages:  34-82
Publication Date:   August 2009
ISSN (Online): 1985-2339
34 - 41
Published Date   
CSC Journals, Kuala Lumpur, Malaysia
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
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
Karami mollaei : Colleagues  
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