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Optimal Adaptive Filtering Technique for Tamil Speech Enhancement

by Vimala.c, Radha.v
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 17
Year of Publication: 2012
Authors: Vimala.c, Radha.v
10.5120/5633-7996

Vimala.c, Radha.v . Optimal Adaptive Filtering Technique for Tamil Speech Enhancement. International Journal of Computer Applications. 41, 17 ( March 2012), 23-29. DOI=10.5120/5633-7996

@article{ 10.5120/5633-7996,
author = { Vimala.c, Radha.v },
title = { Optimal Adaptive Filtering Technique for Tamil Speech Enhancement },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 17 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number17/5633-7996/ },
doi = { 10.5120/5633-7996 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:50.727121+05:30
%A Vimala.c
%A Radha.v
%T Optimal Adaptive Filtering Technique for Tamil Speech Enhancement
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 17
%P 23-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Noise reduction in speech applications has a significant amount of research for several decades. The ultimate goal of the speech signal processing research is to develop systems which can perform well in noisy environments. The main objective of this research work is to obtain a clean speech signal of higher quality by applying the optimal noise cancellation technique. In recent years, the real-time adaptive filtering algorithms are considered to be an essential technique for noise cancellation. In this paper, the most popular adaptive filtering algorithms namely Least Mean Square (LMS), Normalized Least Mean Squares (NLMS) and Recursive Least Squares (RLS) algorithms are analyzed and implemented for Tamil speech enhancement. Based on the experimental results, it can be observed that the performance of the adaptive filters is better than using conventional methods designed for speech enhancement. The performances of these algorithms are evaluated based on the metrics namely PSNR, MSE, SNR and SNR Loss. Based on the performance evaluation, the RLS algorithm was found to be a better optimal noise cancellation technique for Tamil speech signals.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Tamil Speech Noise Cancellation Adaptive Filter Lms Nlms Rls Speech Enhancement Snr And Snr Loss

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