Abstract
This paper proposes a semi-fragile speech watermarking scheme by quantization of Linear Prediction (LP) parameters, i.e. the inverse sine parameters. The watermark decoding performance is analyzed by modelling the parameters estimation error as Laplace distributed noises. The watermark detection threshold is derived according to the requirement of error probability and expected Signal to Noise Ratio (SNR). Experiments show that the proposed watermarking scheme is robust against amplitude scaling and semi-fragile to white noise addition, and thus suitable for speech authentication.
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© 2005 Springer-Verlag Berlin Heidelberg
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Yan, B., Lu, ZM., Sun, SH., Pan, JS. (2005). Speech Authentication by Semi-fragile Watermarking. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_71
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DOI: https://doi.org/10.1007/11553939_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)