An Efficient Audio Watermark Extraction in Time Domain


Heawon Kang, Sung-Hwan Jung, Journal of Information Processing Systems Vol. 2, No. 1, pp. 13-17, Feb. 2006  


Keywords: audio watermarking, blind detection Wavelet
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Abstract

In this paper, we propose an audio extraction method to decrease the influence of the original signal by modifying the watermarking detection system proposed by P. Bassia et al. In the extraction of the watermark, we employ a simple mean filter to remove the influence of the original signal as a preprocessing of extraction and the repetitive insertion of the watermark. As the result of the experiment, for which we used about 20 kinds of actual audio data, we obtain a watermark detection rate of about 95% and a good performance even after the various signal processing attacks.


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Cite this article
[APA Style]
Heawon Kang and Sung-Hwan Jung (2006). An Efficient Audio Watermark Extraction in Time Domain. Journal of Information Processing Systems, 2(1), 13-17. DOI: .

[IEEE Style]
H. Kang and S. Jung, "An Efficient Audio Watermark Extraction in Time Domain," Journal of Information Processing Systems, vol. 2, no. 1, pp. 13-17, 2006. DOI: .

[ACM Style]
Heawon Kang and Sung-Hwan Jung. 2006. An Efficient Audio Watermark Extraction in Time Domain. Journal of Information Processing Systems, 2, 1, (2006), 13-17. DOI: .