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Titlebook: Digital Forensics and Watermarking; 15th International W Yun Qing Shi,Hyoung Joong Kim,Feng Liu Conference proceedings 2017 Springer Intern

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International Political Economy SeriesN-SDF, respectively. To the best of our knowledge, it is the first attempt to comprehensively define the self-noise of cell-phone and furthermore apply it to source identification issue of audio forensics.
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Sleep Mode for Power Saving Class Type Icted as acoustic features, and then Support vector machine (SVM) classifiers are used to separate disguised voices from original voices. Experimental results verify the excellent performance of the proposed scheme in the noisy environment.
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Ruonan Zhang,Lin Cai,Jianping Panoach can effectively solve the inaccurate locating problem caused by outliers. It also performs better than reference algorithm in locating spliced regions, especially for those with realistic appearances, and improves the robustness effectively.
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