Open Access

Audio Watermarking Based on HAS and Neural Networks in DCT Domain

EURASIP Journal on Advances in Signal Processing20032003:764030

DOI: 10.1155/S1110865703208027

Received: 8 August 2001

Published: 13 March 2003

Abstract

We propose a new intelligent audio watermarking method based on the characteristics of the HAS and the techniques of neural networks in the DCT domain. The method makes the watermark imperceptible by using the audio masking characteristics of the HAS. Moreover, the method exploits a neural network for memorizing the relationships between the original audio signals and the watermarked audio signals. Therefore, the method is capable of extracting watermarks without original audio signals. Finally, the experimental results are also included to illustrate that the method significantly possesses robustness to be immune against common attacks for the copyright protection of digital audio.

Keywords

audio watermarking data hiding copyright protection neural networks human auditory system

Authors’ Affiliations

(1)
Department of Information Management, National Huwei Institute of Technology
(2)
(3)
Department of Computer Science and Information Engineering, National Chung Cheng University

Copyright

© Copyright © 2003 Hindawi Publishing Corporation 2003