抗去同步攻击的强鲁棒数字音频水印方法研究是一项富有挑战性的工作．本文结合数字音频自身特征，提出了一种基于音频内容的抗去同步攻击数字水印算法．该算法首先根据数字音频的局部能量特征，从原始载体中提取出稳定的特征点；然后以音频特征点为标识，确定用于水印嵌入的候选音频段；最后采纳量化调制策略，将数字水印嵌入到音频载体内．进行数字水印检测时，系统通过分析音频内容提取特征点，再以特征点为标识提取水印信息，水印检测无需原始音频信号参与．仿真实验结果表明，本文算法不仅具有较好的不可感知性，而且对常规信号处理（MP3压缩、低通滤波、添加噪声等）和去同步攻击（随机剪切、幅度缩放、时间延展、抖动等）均具有较好的鲁棒性。

It is a challenging work to design a robust audio watermarking scheme against desynchronization attacks.In this paper，a feature-based digital audio watermarking scheme robust against desynchronization attacks is proposed.Firstly，the steady feature points are extracted from the host audio according to the local energy distribution.Then，the candidate audio segments for embedding watermark are defined by using the feature points.Finally，the digital watermark is embedded into a host audio by modulating the statistics average value of audio samples.In digital watermark detection，the feature points are selected by the same technique as the embedding，and the digital watermark is extracted from the watermarked audio after the feature points.Experimental results show that the proposed scheme is inaudible and robust against common signals processing such as MP3 compression，low-pass filtering，noise addition，and equalization etc，and is robust against desynchronization attacks such as random cropping，amplitude variation，time-scale modification，and jittering etc.