Multiple Scrambling and Adaptive Synchronization for Audio Watermarking
Imperceptibility, robustness and security are the vital considerations in the design of any audio watermarking scheme for copyrights protection. In this paper, a secure and robust audio watermarking scheme involving multiple scrambling and adaptive synchronization is proposed. To prevent the unauthorized detection, the new scheme integrates multiple scrambling operations into the embedding process. That is, encrypting the watermark with a coded-image and randomly selecting certain subbands for the embedding process. Moreover, the detection utilizes adaptive synchronization to enhance the robustness under some destructive de-synchronization attacks, like random samples cropping/inserting, pitch-invariant time stretching, and tempo-preserved pitch shifting. Theoretical analysis and simulation results have revealed that the proposed scheme is self-secured indeed and also immune to a wide range of severe attacks.
Keywordsaudio watermarking information hiding copyrights protection multimedia watermarking
Unable to display preview. Download preview PDF.
- 4.Dittmann, J., Steinebach, M., Lang, A., Zmudizinski, S.: Advanced Audio Watermarking Benchmarking. In: Proceedings of SPIE International Symposium Electronic Imaging, vol. 5306, pp. 224–235 (2004)Google Scholar
- 10.Lin, Y.Q., Abdulla, W.H.: Robust Audio Watermarking Technique Based on Gammatone Filterbank and Coded-Image. In: International Symposium on Signal Processing and Its Application (ISSPA 2007) (2007)Google Scholar
- 11.Lin, Y.Q., Abdulla, W.H.: Robust Audio Watermarking for Copyrights Protection. Technical Report (No. 650), Department of Electrical & Computer Engineering, The University of Auckland (2006), http://www.ece.auckland.ac.nz/~wabd002/Publications
- 13.Abdulla, W.H.: Auditory Based Feature Vectors for Speech Recognition Systems. In: Mastorakis, N.E., Kluev, V.V. (eds.) Advances in Communications and Software Technologies, pp. 231–236. WSEAS Press (2002)Google Scholar
- 14.Gurijala, A., Deller Jr., J.R.: Robust Algorithm for Watermark Recovery from Cropped Speech. In: IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2001), vol. 3, pp. 1357–1360 (2001)Google Scholar
- 15.ISO/IEC 11172-3: Information Technology - Coding of Moving Picture and Associated Audio for Digital Storage Media Up To About 1.5Mbit/s. British Standard. BSI London (1993)Google Scholar
- 17.EBU: SQAM - Sound Quality Assessment Material, http://sound.media.mit.edu/mpeg4/audio/sqam/
- 18.Kabal, P.: An Examination and Interpretation of ITU-R BS.1387: Perceptual Evaluation of Audio Quality. TSP Lab Technical Report, Department of Electrical & Computer Engineering, McGill University (2003), http://www.TSP.ECE.McGill.CA/MMSP/Documents