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A Comparative Study of Speech Compression using Different Transform Techniques

by Jithin James, Vinod J Thomas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 2
Year of Publication: 2014
Authors: Jithin James, Vinod J Thomas
10.5120/16979-6547

Jithin James, Vinod J Thomas . A Comparative Study of Speech Compression using Different Transform Techniques. International Journal of Computer Applications. 97, 2 ( July 2014), 16-20. DOI=10.5120/16979-6547

@article{ 10.5120/16979-6547,
author = { Jithin James, Vinod J Thomas },
title = { A Comparative Study of Speech Compression using Different Transform Techniques },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 2 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number2/16979-6547/ },
doi = { 10.5120/16979-6547 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:23:35.473694+05:30
%A Jithin James
%A Vinod J Thomas
%T A Comparative Study of Speech Compression using Different Transform Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 2
%P 16-20
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Compression of speech signal is an important field in digital signal processing. Speech signal compression has significant importance in today's world, because of limited bandwidth and transmission or storage capacity. Speech compression is a process of converting human speech signals into efficient encoded representations that can be decoded back to produce a close approximation of the original signal. This paper explores a transform based methodology for compression of the speech signal. In this methodology, different transforms such as FFT, DCT and DWT are exploited. A comparative study of performance of different transforms is made in terms of SNR, PSNR NRMSE and compression factor (CF). When compared, DWT gives higher compression with respect to DCT and FFT in terms of CF.

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Index Terms

Computer Science
Information Sciences

Keywords

Speech compression FFT DCT DWT Compression ratio

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