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Comparative Study of Wavelet and Wavelet Packet Transform for Denoising Telephonic Speech Signal

by Gautam Kumar, Sugandh Kumar, Nitendra Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 15
Year of Publication: 2015
Authors: Gautam Kumar, Sugandh Kumar, Nitendra Kumar
10.5120/19389-9145

Gautam Kumar, Sugandh Kumar, Nitendra Kumar . Comparative Study of Wavelet and Wavelet Packet Transform for Denoising Telephonic Speech Signal. International Journal of Computer Applications. 110, 15 ( January 2015), 1-8. DOI=10.5120/19389-9145

@article{ 10.5120/19389-9145,
author = { Gautam Kumar, Sugandh Kumar, Nitendra Kumar },
title = { Comparative Study of Wavelet and Wavelet Packet Transform for Denoising Telephonic Speech Signal },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 15 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number15/19389-9145/ },
doi = { 10.5120/19389-9145 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:24.720865+05:30
%A Gautam Kumar
%A Sugandh Kumar
%A Nitendra Kumar
%T Comparative Study of Wavelet and Wavelet Packet Transform for Denoising Telephonic Speech Signal
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 15
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In communication systems and other speech related systems, background noise is a severe problem. The speech signal gets polluted by the noises that are from transmission medium and surroundings. Noise degrades the quality and the intelligibility of the speech signals. Addition of noise is by various factors like heavy machines, pumps, vehicles, using radio communication device or over noisy telephone channel. The basic idea behind the project work is to denoise the noisy telephonic speech signal. This work is based on studying and implementing wavelets as denoising algorithm. The Wavelet Transform (WT) and Wavelet Packet Transform (WPT) implemented for the work is Discrete. Haar, Daubechies, Symlet and Coiflet wavelets are implemented for denoising of telephonic speech signal. Performance of speech signal is evaluated on the basis of SNR (signal to noise ratio) and RMSE (root mean square error). SNR and RMSE are calculated for both Soft Thresholding and Hard Thresholding.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet Wavelet Packet Transform Thresholding.

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