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Blind Audio Watermarking Scheme Based on Improved Cepstral Statistical Mean Modulation

机译:基于改进抗截骨统计平均调制的盲音毒水印方案

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Audio watermarking is one of the best solutions to prevent the pirate audio propagation. The human auditory system is more sensitive than the visual system, which makes the audio watermarking more challenging. Many approaches for audio information hiding have been proposed. This paper designs a robust blind audio watermarking scheme based on modifying coefficients in cepstrum domain. According to the perceptual characteristics of human acoustics, time domain energy is firstly computed to select the embedding frames. Then, the watermark information is embedded in the complex cepstrum domain through improved statistical mean modulation method. Arnold scrambling transform is applied to ensure the security of the watermarking scheme. The proposed scheme achieves blind watermarking, since only the index of selected frames and the modulation threshold value are needed as secret keys in extraction process. Experimental results show that the designed watermarking scheme is suitable for all kinds of audio signals, for example, speech, music, ringtone, etc. This proposed method has good security, imperceptibility and robustness for different kinds of audio signals.
机译:音频水印是防止海盗音频传播的最佳解决方案之一。人类听觉系统比视觉系统更敏感,这使得音频水印更具挑战性。已经提出了许多用于音频信息隐藏的方法。本文设计了一种基于Cepstrum域改变系数的强大盲音毒水印方案。根据人类声学的感知特征,首先计算时域能量以选择嵌入帧。然后,通过改进的统计均值调制方法,水印信息嵌入复杂的谱系统中。应用Arnold加扰变换以确保水印方案的安全性。所提出的方案实现了盲的水印,因为只需要所选帧的指数和调制阈值作为提取过程中的秘密键。实验结果表明,设计的水印方案适用于各种音频信号,例如,语音,音乐,铃声等。该提出的方法对不同类型的音频信号具有良好的安全性,难以忍受和鲁棒性。

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