Cart (Loading....) | Create Account
Close category search window
 

An artificial neural network-based scheme for robust watermarking of audio signals

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yang, Huijuan ; Crimson Logic, 31, Science Park Road, Singapore 117611 ; Patra, J.C. ; Chan, Choong W.

Digital watermarking is a technique by which the author information is embedded into the host signal (text, audio, image or video) that is imperceptible to the human senses. In this paper, we present a novel scheme for watermarking on audio signals using artificial neural networks (ANNs). The ANN is used to estimate the watermark scaling factor (WSP) intelligently from the knowledge of host audio signal. The power spectrum of the watermark signal remains below the minimum masking threshold (MMT) of the host signal when these WSFs are used in the watermarking process. This not only ensures inaudibility of the watermark signal, but also improves the capacity and robustness of the watermarking process. Using one music signal, we have shown the robustness of the scheme under some attacks to the watermarked audio signal.

Published in:

Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on  (Volume:1 )

Date of Conference:

13-17 May 2002

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.