Abstract
Recoverable speech forensics algorithm not only can locate the attacked frames, but can reconstruct the attacked signals. Meanwhile, the method can provide useful information for the prediction of attacker and attacker’s intent. We proposed a robust recoverable algorithm used for digital speech forensics in this paper. We analyze and conclude that large amplitude DCT coefficients play a more significant role for speech reconstruction. Inspired by this, we regard the large amplitude coefficients as compressed signal, used for the reconstruction of attacked frames. For embedding, we scramble samples of each frame, and embed frame number and compressed signal into less amplitude DCT coefficients of scrambled signal by substitution. Frame number is used for tamper location of watermarked speech, and compressed signal is used for the reconstruction of attacked signals. Experimental results demonstrate that the algorithm is inaudible and robustness to signal processing operations, has ability of tamper recovery and improves the security of watermarking system.
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Acknowledgments
This paper is supported by the National Natural Science Foundation of China (Grant No. 61502409, 61602318, 61602318, 61631016), and Nanhu Scholars Program for Young Scholars of XYNU. We would like to thank the anonymous reviewers for their constructive suggestions.
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Liu, Z., Li, Y., Sun, F., He, J., Qi, C., Luo, D. (2018). A Robust Recoverable Algorithm Used for Digital Speech Forensics Based on DCT. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11068. Springer, Cham. https://doi.org/10.1007/978-3-030-00021-9_28
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