Speech authentication by semi-fragile watermarking

Authors:
Bin Yan;Zhe-Ming Lu;Sheng-He Sun;Jeng-Shyang Pan
Affiliations:
Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, P.R. China;Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, P.R. China;Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, P.R. China;Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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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.