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Authenticity verification of audio signals based on fragile watermarking for audio forensics

机译:基于易碎水印的音频信号真实性验证

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This paper presents a new fragile watermarking method for digital audio authenticity for audio forensics purposes. The aim is to verify if an audio proof has been tampered and to locate the segments where the signal was modified. Our proposal is based on an embedding process of a text that is encoded through OVSF (Orthogonal Variable Spreading Factor) codes and spread into the entire signal using automatic adjustment. Several tests were performed in order to quantify the accuracy and the reliability of the tampering detection against four classical attacks (cropping, replacement, additive noise and amplitude reduction) by using kappa index, sensitivity and specificity. It was demonstrated that even if a small number of samples is modified, the system correctly labels the audio proof as manipulated, and locates both the start and end of the manipulation; the kappa index (reliability) is around 0.96, sensitivity is always 1, and specificity is around 0.995. The proposed algorithm could be used as a decision support tool for audio forensics verification purposes, that allows to identify if an audio proof has been modified, and the time segments in which it has been modified. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的用于数字音频真实性的脆弱水印方法,用于音频取证。目的是验证音频证明是否已被篡改,并找到修改信号的段。我们的建议基于文本的嵌入过程,该过程通过OVSF(正交可变扩展因子)代码进行编码,并通过自动调整扩展到整个信号中。为了量化篡改检测针对四种经典攻击(裁剪,替换,加性噪声和幅度减小)的准确性和可靠性,进行了一些测试,方法是使用kappa指数,敏感性和特异性。事实证明,即使修改了少量样本,系统也正确标记了音频证明为已操纵,并定位了操纵的开始和结束。 kappa指数(可靠性)约为0.96,灵敏度始终为1,特异性约为0.995。所提出的算法可以用作用于音频取证验证目的的决策支持工具,该工具可以识别音频证据是否已被修改以及其被修改的时间段。 (C)2017 Elsevier Ltd.保留所有权利。

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