Abstract
Parameter-embedded watermarking is effected through slight perturbations of parametric models of some deeply-integrated dynamics of a signal. This paper is concerned with particular model form, linear prediction (LP), which is naturally suited to the application of interest, speech watermarking. The focus of this paper is on the robustness performance of LP-embedded speech watermarking. It is shown that the technique is quite robust to a wide array of attacks including noise addition, cropping, compression, filtering, and others. In the LP formulation, a set-theoretic adjunct to the parameter embedding can be used to identify a watermark that is optimally robust against certain attacks, within a quantified fidelity constraint.
This work was supported by the National Science Foundation of the United States under Cooperative Agreement No. IIS-9817485.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Gurijala, A.: Speech Watermarking Through Parametric Modeling (Ph.D. dissertation), Michigan State Univ., East Lansing (2006)
Gurijala, A., Deller, Jr., J.R.: Speech watermarking by parametric embedding with an ℓ ∞  fidelity criterion, In: Proc. EUROSPEECH (CD-ROM), September 2003, Geneva (2003)
Gurijala, A., Deller, Jr., J.R., Seadle, M.S., Hansen, J.H.L.: Speech watermarking through parametric modeling. In: Proc. Int’l Conf. Spoken Language Proc’g (ICSLP) (CD-ROM), September 2002, Denver (2002)
Deller Jr., J.R., Hansen, J.H.L., Proakis, J.G.: Discrete-Time Processing of Speech Signals, 2nd edn. Wiley–IEEE Press, New York (2000)
Haykin, S.: Adaptive Filter Theory, 3rd edn. Prentice-Hall, New York (1996)
Gurijala, A., Deller, Jr., J.R.: Detector design for parametric speech watermarking. In: IEEE Int’l Conf. Multimedia & Expo (ICME), July 2005, Amsterdam (2005)
Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Proc’g 6, 1673–1687 (1997)
Price, P.J.: A database for continuous speech recognition in a 1000-word domain. In: Proc. IEEE Int’l Conf. Acoustics, Speech & Signal Proc’g (ICASSP), New York, pp. 651–654 (1988)
Speech files, http://www.egr.msu.edu/~ParaWmkg/WAVFILES
Gurijala, A., Deller, Jr., J.R.: Speech watermarking with objective fidelity and robustness criteria. In: Proc. Asilomar Conf. Signals, Systems & Computers, November 2003, Pacific Grove, Calif., (2003)
Gurijala, A., Deller, Jr., J.R.: Robust algorithm for watermark recovery from cropped speech. In: Proc. IEEE Int’l Conf. Acoustics, Speech & Signal Proc’g (ICASSP) (CD-ROM), Salt Lake City (2001)
Peticolas, F., Anderson, R.J., Kuhn, M.G.: Attacks on copyright marking systems, In: Proc. 2 nd Workshop on Info. Hiding, April 1998, Portand, pp. 218–238 (1998)
Hawkvoice from Hawk Software, http://www.hawksoft.com/hawksoft
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Gurijala, A., Deller, J.R. (2007). On the Robustness of Parametric Watermarking of Speech. In: Sebe, N., Liu, Y., Zhuang, Y., Huang, T.S. (eds) Multimedia Content Analysis and Mining. MCAM 2007. Lecture Notes in Computer Science, vol 4577. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73417-8_59
Download citation
DOI: https://doi.org/10.1007/978-3-540-73417-8_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73416-1
Online ISBN: 978-3-540-73417-8
eBook Packages: Computer ScienceComputer Science (R0)