Multiplicative Watermarking of Audio in Spectral Domain

• Published in: Quality, Reliability, Security and Robustness in Heterogeneous Networks pp. 591 - 605
• Main Authors: Singh, Jyotsna, Garg, Parul, De, Alok Nath
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2013
• Series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
• Subjects: audio; correlation detector; discrete fourier transform; log-likelihood detection; watermarking
• ISBN: 3642379486; 9783642379482
• ISSN: 1867-8211; 1867-822X
• DOI: 10.1007/978-3-642-37949-9_52

In this paper, watermark is multiplicatively embedded in discrete fourier transform magnitude of audio signal using spread spectrum based technique. A new perceptual model for magnitude of discrete fourier transform coefficients is developed which finds the regions of highest watermark embedding capacity with least perceptual distortion. Theoretical evaluation of detector performance using correlation detector and likelihood ratio detector is undertaken under the assumption that host feature follows Weibull distribution. Also, experimental results are presented in order to show the performance of the proposed scheme under various attacks such as presence of multiple watermarks, additive white gaussian noise and audio compression.