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Reseach Article

Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs

by C. M. Juli Janardhanan, C. Sathish Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 6
Year of Publication: 2013
Authors: C. M. Juli Janardhanan, C. Sathish Kumar
10.5120/12744-9658

C. M. Juli Janardhanan, C. Sathish Kumar . Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs. International Journal of Computer Applications. 73, 6 ( July 2013), 15-19. DOI=10.5120/12744-9658

@article{ 10.5120/12744-9658,
author = { C. M. Juli Janardhanan, C. Sathish Kumar },
title = { Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 6 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number6/12744-9658/ },
doi = { 10.5120/12744-9658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:40:55.760707+05:30
%A C. M. Juli Janardhanan
%A C. Sathish Kumar
%T Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 6
%P 15-19
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital audio watermarking involves the process of embedding into a host audio signal, a perceptually transparent digital signature carrying a message about the host signal. A technique of digital audio watermarking using wavelet transform is applied to watermark Indian classical songs. Investigations were performed using Haar, Daubechies and Symlet wavelets for time-frequency decomposition of the audio signal in order to embed watermark bits into the wavelet coefficients. Simulations are performed with embedding at different levels of wavelet transform and the results are encouraging with Daubechies wavelet. Robustness of the algorithm was also analysed by including additive white Gaussian noise, denoising, and resampling.

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Index Terms

Computer Science
Information Sciences

Keywords

Audio watermarking discrete wavelet transform Indian classical songs