局部统计特征的抗同步攻击音频水印

利用音频局部统计特征提出一种可同时抵抗时域拉伸和局部裁剪攻击的音频水印算法. 水印嵌入时先对音频信号进行鲁棒自适应分段，然后计算直方图和均值，参照均值修改直方图形状以完成信息隐藏. 理论分析和实验结果表明，该方法具有很好的抗时域拉伸性能，且抵抗局部裁剪攻击的性能有显著提高.

Audio Watermarking against Synchronization Attacks Using Statistical Features

This paper proposes a robust audio watermarking approach against random cropping and timescale modifications (TSM) by using two local statistical features. In the embedding, audio signals are divided into segments, and histogram and the absolute mean value of each segment computed. The histogram shapes of the segments are modified to insert messages by referring to the corresponding mean values. Theoretical analysis and experimental results show that the proposed audio watermarking algorithm can provide better performance for random cropping while keeping satisfactory robustness to the TSM attacks in comparison with earlier methods.