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Reseach Article

Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control

by Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 12
Year of Publication: 2011
Authors: Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao
10.5120/1738-2363

Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao . Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control. International Journal of Computer Applications. 12, 12 ( January 2011), 13-17. DOI=10.5120/1738-2363

@article{ 10.5120/1738-2363,
author = { Ch.V.Rama Rao, M.B.Rama Murthy, K.Srinivasa Rao },
title = { Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control },
journal = { International Journal of Computer Applications },
issue_date = { January 2011 },
volume = { 12 },
number = { 12 },
month = { January },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number12/1738-2363/ },
doi = { 10.5120/1738-2363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:27.393605+05:30
%A Ch.V.Rama Rao
%A M.B.Rama Murthy
%A K.Srinivasa Rao
%T Speech Enhancement using a Modified Apriori SNR and Adaptive Spectral Gain Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 12
%P 13-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A new approach to single channel speech enhancement is proposed using a modified a priori SNR and spectral gain control. The proposed approach is first directed toward finding self adaptive averaging factor to estimate the apriori SNR. Next, spectral gain is reduced in order to suppress effects of the noise in the speech absent frames. Further, in the speech present frames, in order to reduce signal distortion, the spectral gain is controlled to be unity based on an SNR calculated by using a ridgeline spectrum. Finally, the original noisy speech is added to the estimated speech in a ratio is controlled by the long term averaged SNR of the estimated noise and the noisy speech. Computer simulations by using speech signals, the white noise, the car noise and the babble noise have been carried out using several available methods and the proposed method. It is observed that there is improvement in speech quality by the proposed method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MMSE estimator apriori SNR spectral gain