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A New Approach for Speech Enhancement Based On Eigenvalue Spectral Subtraction
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BibTeX
@MISC{Ghasemi_anew,
author = {Jamal Ghasemi and Mohammad Reza and Karami Mollaei and Jamal Ghasemi and Mohammad Reze and Karami Mollaei},
title = {A New Approach for Speech Enhancement Based On Eigenvalue Spectral Subtraction},
year = {}
}
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Abstract
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.
Keyphrases
speech enhancement eigenvalue spectral subtraction new approach phase space reconstruction-based method spectral subtraction idea high dimensional high snr noisy signal ten signal fast performance white additive gaussian noise good mo phase space timit database mixed quantitative criterion
