摘要
通过大量实验,在基于极性翻转的语音水印嵌入的基础上,分析了基于线性预测的水印检测算法的可行性和准确率,并设计出自动水印盲检测软件,提出了一阶后滤波的改进方案,使得系统对纯净语音的提取准确率接近100%,具有一定的实用性.且该水印检测系统相对于非盲检测在抗噪方面具有明显的优越性.
The feasibility and veracity of the algorithm for restoring the embedded hidden bits based on the LPC （Linear Predictive Coding） are analyzed. The software for automatically detecting the watermarking is designed. Then a new modified algorithm to make the accuracy up to nearly 100% based on lots of experiments is proposed. Finally, various experiments are done to prove the robustness of algorithm and a conclusion is made that this system has a better anti-noise performance than non-blind detecting system.
出处
《华北水利水电学院学报》
2006年第3期30-33,共4页
North China Institute of Water Conservancy and Hydroelectric Power
基金
江苏省自然科学基金资助项目(BK2004150)
关键词
信息隐藏
水印检测
线性预测
语音激励脉冲的极性
information hiding
watermarks detection
LPC （ Linear Predictive Coding）
polarity of speech pulse
