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Multiple Scrambling and Adaptive Synchronization for Audio Watermarking

  • Conference paper
Digital Watermarking (IWDW 2007)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5041))

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Abstract

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.

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References

  1. Erküçük, S., Krishnan, S., Zeytinoǧlu, M.: A Robust Audio Watermark Representation Based on Linear Chirps. IEEE Transactions on Multimedia 8(5), 925–936 (2006)

    Article  Google Scholar 

  2. Petitcolas, F.A.P.: Watermarking Schemes Evaluation. IEEE Signal Processing Magazine 17(5), 58–64 (2000)

    Article  Google Scholar 

  3. Hartung, F., Kutter, M.: Multimedia Watermarking Techniques. Proceedings of the IEEE 87(7), 1079–1107 (1999)

    Article  Google Scholar 

  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 

  5. Swanson, M.D., Zhu, B., Tewfik, A.H., Boney, L.: Robust Audio Watermarking Using Perceptual Masking. Signal Processing 66(3), 337–355 (1998)

    Article  MATH  Google Scholar 

  6. Tachibana, R., Shimizu, S., Kobayashi, S.: An Audio Watermarking Method Using A Two-dimensional Pseudo-random Array. Signal Processing 82(10), 1455–1469 (2002)

    Article  MATH  Google Scholar 

  7. Xiang, S.J., Huang, J.W., Yang, R., Wang, C.T., Liu, H.M.: Robust Audio Watermarking Based on Low-Order Zernike Moments. In: Shi, Y.Q., Jeon, B. (eds.) IWDW 2006. LNCS, vol. 4283, pp. 226–240. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  8. Li, W., Xue, X.: Audio Watermarking Based on Music Content Analysis Robust Against Time Scale Modification. In: Kalker, T., Cox, I., Ro, Y.M. (eds.) IWDW 2003. LNCS, vol. 2939, pp. 289–300. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  9. Xiang, S.J., Huang, J.W., Yang, R.: Time-Scale Invariant Audio Watermarking Based on the Statistical Features in Time Domain. In: Camenisch, J.L., Collberg, C.S., Johnson, N.F., Sallee, P. (eds.) IH 2006. LNCS, vol. 4437. Springer, Heidelberg (2007)

    Chapter  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

  12. Kirovski, D., Malvar, H.S.: Spread-spectrum Watermarking of Audio Signals. IEEE Transactions on Signal Processing 51(4), 1020–1033 (2003)

    Article  MathSciNet  Google Scholar 

  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 

  16. Tachibana, R.: Improving Audio Watermarking Robustness Using Stretched Patterns Against Geometric Distortion. In: Chen, Y.-C., Chang, L.-W., Hsu, C.-T. (eds.) PCM 2002. LNCS, vol. 2532, pp. 647–654. Springer, Heidelberg (2002)

    Chapter  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

  19. Spanias, A.S.: Speech Coding: A Tutorial Review. Proceedings of the IEEE 82(10), 1541–1582 (1994)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, The University of Auckland, New Zealand

    Yiqing Lin & Waleed H. Abdulla

Authors
  1. Yiqing Lin
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  2. Waleed H. Abdulla
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Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology, University Heights, NJ 07102-1982, Newark, USA

    Yun Q. Shi

  2. Multimedia Security Lab, Science Campus, Korea University, 136-701, Seoul, Korea

    Hyoung-Joong Kim

  3. Philips Research Europe, Information and System Security, Eindhoven, The Netherlands

    Stefan Katzenbeisser

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© 2008 Springer-Verlag Berlin Heidelberg

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Lin, Y., Abdulla, W.H. (2008). Multiple Scrambling and Adaptive Synchronization for Audio Watermarking. In: Shi, Y.Q., Kim, HJ., Katzenbeisser, S. (eds) Digital Watermarking. IWDW 2007. Lecture Notes in Computer Science, vol 5041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92238-4_34

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  • DOI: https://doi.org/10.1007/978-3-540-92238-4_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-92237-7

  • Online ISBN: 978-3-540-92238-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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