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Blind speech watermarking using hybrid scheme based on DWT/DCT and sub-sampling

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Abstract

In this paper, a robust and blind speech watermarking technique is proposed using a combined scheme based on discrete cosine transform (DCT) and discrete wavelet transform (DWT) Algorithms within signal sub-sampling. To achieve good imperceptibility, hybridization is implemented against many attacks such as: re-quantization, cropping, echo, amplification and additive white Gaussian noise (AWGN). We profit from the advantages of correlation between two successive samples so that we used signal sub-sampling. Obtained results, compared successfully to recent researches, show the robustness of our proposed approach.

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Authors and Affiliations

  1. Laboratory of Automation and Applied Industrial Diagnostics (LAADI), Faculty of Exact Sciences & Computers, Ziane Achour University of Djelfa (UZAD), BP3117, Djelfa, Algeria

    Ahmed Merrad & Slami Saadi

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  1. Ahmed Merrad
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  2. Slami Saadi
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Correspondence to Slami Saadi.

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Merrad, A., Saadi, S. Blind speech watermarking using hybrid scheme based on DWT/DCT and sub-sampling. Multimed Tools Appl 77, 27589–27615 (2018). https://doi.org/10.1007/s11042-018-5939-z

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  • DOI: https://doi.org/10.1007/s11042-018-5939-z

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