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A New Approach for Speech Enhancement Based On Eigenvalue Spectral Subtraction
Jamal Ghasemi, Karami mollaei
Pages - 34 - 41     |    Revised - 30-09-2009     |    Published - 21-10-2009
Volume - 3   Issue - 4    |    Publication Date - August 2009  Table of Contents
Eigenvalues, singular values decomposition, Spectral Subtraction, Speech enhancement
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.
CITED BY (21)  
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17 Ghasemi, J., Mollaei, M. R. K., Ghaderi, R., & Hojjatoleslami, A. (2011, July). Separation of brain tissues in MRI based on multi-dimensional FCM and spatial information. In Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on (Vol. 1, pp. 247-251). IEEE.
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Dr. Jamal Ghasemi
- Iran
Mr. Karami mollaei
- Iran