Abstract
An effective digital audio watermarking scheme based on blind source separation (BSS) for blind watermark detection is proposed in this paper. In the embedding procedure, the original watermark is modulated by chaotic sequence to generate an embedding watermark. Then watermarked audio signal is combined by two signals which are mixed by original audio signal and embedding watermark according to BSS mixing model. In the detecting procedure, watermarked audio signal is split into two signals first, and then BSS technique is applied to them to obtain the separated embedding watermark. At last, we can determine the watermark presence by correlation values between the separated embedding watermark and embedding watermark. Experimental results show the effectiveness of the proposed method.
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
Gerzon, M.A., Graven, P.G.: A High-rate Buried-data Channel for Audio CD. Journal of the Audio Engineering Society 43, 3–22 (1995)
Kim, H.J., Choi, Y.H.: A Novel Echo-hiding Scheme With Backward and Forward Kernels. IEEE Trans. on Circuits and Systems for Video Technology 13, 885–889 (2003)
Ko, B.S., Nishimura, R., Suzuki, Y.: Log-scaling Watermark Detection in Digital Audio Watermarking. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), vol. 3, pp. III-81–84 (2004)
Arnold, M.: Audio Watermarking: Features, Applications and Algorithms. In: IEEE International Conference on Multimedia and Expo (ICME 2000), vol. 2, pp. 1013–1016 (2000)
Yeo, I.K., Kim, H.J.: Modified Patchwork Algorithm: A Novel Audio Watermarking Scheme. IEEE Transactions on Speech and Audio Processing 11, 381–386 (2003)
Li, X.Y., Zhang, M., Sun, S.L.: Adaptive Audio Watermarking Algorithm Based on SNR in Wavelet Domain. In: 2003 International Conference on Natural Language Processing and Knowledge Engineering, pp. 287–292 (2003)
Lee, S.K., Ho, Y.S.: Digital Audio Watermarking in the Cepstrum Domain. IEEE Trans. On Consumer Electronics 46, 744–750 (2000)
Toch, B., Lowe, D., Saad, D.: Watermarking of Audio Signals Using Independent Component Analysis. In: Third International Conference on Web Delivering of Music (WEDELMUSIC 2003), pp. 71–74 (2003)
Hyvärinen, A., Oja, E.: A Fast Fixed-point Algorithm for Independent Component Analysis. Neural Computation 9, 1483–1492 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ma, X., Wang, C., Cong, X., Yin, F. (2005). A Digital Audio Watermarking Scheme Based on Blind Source Separation. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_90
Download citation
DOI: https://doi.org/10.1007/11427445_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
eBook Packages: Computer ScienceComputer Science (R0)