【摘要】 为了取得鲁棒性与不可感知性的良好平衡,提出一种新的SVM数字音频水印嵌入算法.该算法以回归型支持向量机(SVR)理论及同步码技术为基础,首先结合数字音频内容,选取稳定的能量、过零率作为特征向量并获得SVR训练模型,然后利用SVR训练模型自适应确定嵌入位置,最后采纳量化调制策略,分别在空间域和频率域内将同步码和数字水印嵌入到音频载体内.仿真实验表明,本文算法不仅具有较好的不可感知性,而且对诸如叠加噪声、重新采样、重新量化、低通滤波、MP3压缩、随机剪切等攻击均具有较好的鲁棒性.更多还原

【Abstract】 On the basis of support vector regression(SVR) and synchronization code,a new digital audio blind watermarking algorithm is proposed.Firstly,the energy and zero-crossing feature are selected as train sample,which are extracted from the audio segments,and a SVR model can be returned through the SVR train function;then,the watermark embedding position(the significant audio segments) can be obtained adaptively by using the SVR model.Finally,synchronization code and digital watermark are embedded into the significant audio segments in spatial and DWT domain by using quantization modulation.Experimental results show that the proposed audio watermarking scheme is not only inaudible,but also robust against various attacks(such as noise adding,re-sampling,re-quantization,filtering,MP3 compression,and random cropping et al.更多还原