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基于音频特征的半脆弱水印方案
引用本文:寇占奎,徐江峰.基于音频特征的半脆弱水印方案[J].计算机工程与设计,2012,33(9):3323-3326,3341.
作者姓名:寇占奎  徐江峰
作者单位:郑州大学信息工程学院,河南郑州,450000
摘    要:提出了一个基于语音特征和均值量化的DWT域半脆弱音频数字水印方案.该方案对语音特征进行提取得到梅勒频率倒谱系数(MFCC),对其进行turbo纠错编码,通过均值量化把该编码作为水印嵌入到载体语音中.实验分析结果表明,该方案既对音频的一般操作有较强的鲁棒性,又对篡改音频操作有很强的敏感性,同时水印提取不需要额外的水印信号,准确度高.

关 键 词:梅勒频率倒谱系数  音频水印  半脆弱水印  turbo编码  离散小波变换

Semi-fragile watermarking based on audio features
KOU Zhan-kui , XU Jiang-feng.Semi-fragile watermarking based on audio features[J].Computer Engineering and Design,2012,33(9):3323-3326,3341.
Authors:KOU Zhan-kui  XU Jiang-feng
Affiliation:(School of Information Engineering,Zhengzhou University,Zhengzhou 450000,China)
Abstract:A DWT audio watermarking scheme based on speech characteristics and mean quantization is proposed.Frist,the algorithm get Mel frequency cepstral coefficients(MFCC) by extracting the speech features.And then the frequency cepstrum(MFCC) is gotten for turbo error-correcting codes so that it can improve the accuracy of the watermark.At last it put the encoded voice characteristic coefficient into the voice as the watermark and it does not require additional signal.Experiments show that the watermark not only are robust for the normal operation,but also has a strong sensitivity for the operating of audio tampering.
Keywords:Mel frequency cepstral coefficients  audio watermarking  semi-fragile watermarking  turbo coding  DWT
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