[1]林晓丹.一种基于支持向量机的数字音频认证方法[J].华侨大学学报(自然科学版),2011,32(2):153-155.[doi:10.11830/ISSN.1000-5013.2011.02.0153]
　LIN Xiao-dan.An SVM-Based Digital Audio Authentication Method[J].Journal of Huaqiao University(Natural Science),2011,32(2):153-155.[doi:10.11830/ISSN.1000-5013.2011.02.0153]
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一种基于支持向量机的数字音频认证方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第32卷
期数:
2011年第2期
页码:
153-155
栏目:
出版日期:
2011-03-20

文章信息/Info

Title:
An SVM-Based Digital Audio Authentication Method
文章编号:
1000-5013(2011)02-0153-03
作者:
林晓丹
华侨大学信息科学与工程学院
Author(s):
LIN Xiao-dan
College of Information Science and Engineering, Huaqiao University, Quanzhou 362021, China
关键词:
数字音频;  水印技术;  认证;  梅尔倒谱系数;  支持向量机
Keywords:
digital audio;  watermarking;  authentication;  Mel frequent cepstral coefficient;  support vector machines
分类号:
TN911.72
DOI:
10.11830/ISSN.1000-5013.2011.02.0153
文献标志码:
A
摘要:
提出一种基于数字水印技术的音频内容认证方法.选取稳定的梅尔倒谱特征构造特征向量,利用支持向量机自适应地选取合适的帧进行水印的嵌入和提取.结果表明,算法在保证嵌入水印的不可感知性的同时,能够有效地区分恶意的内容篡改和非恶意的常规信号处理操作,准确地定位篡改发生的位置.
Abstract:
A watermarking-based method for audio content authentication is proposed.Mel frequency cepstral coefficient(MFCC) is adopted to construct training vectors for support vector machine(SVM).Adaptive watermark embedding and extraction is achieved by the well-trained SVM.Experimental results demonstrate that this approach not only can distinguish malicious tampering from content-preserving operations,but also accurately locate regions that have undergone malicious manipulations while keeping the inaudibility of the embedded watermark.

参考文献/References:

[1] 孙圣和, 王秋生. 数字音频信号的脆弱水印嵌入算法 [J]. 计算机学报, 2002(5):520-525.doi:10.3321/j.issn:0254-4164.2002.05.011.
[2] WU Hung-ping, KUO C C J. Fragile speech watermarking based on exponential scale quantization for tamper detection [A]. Florida:IEEE, 2002.3305-3308.
[3] 王剑, 林福宗. 基于支持向量机(SVM)的数字音频水印 [J]. 计算机研究与发展, 2005(9):1605-1611.
[4] WANG Xiang-yang, QI Wei, NIU Pan-pan. A new adaptive digital audio watermarking based on support vector regression [J]. IEEE Transactions on Audio Speech and Language Processing, 2007(8):2270-2277.
[5] LANGELAAR G C, SETYAWAN I, LAGENDIJK R L. Watermarking digital image and video data [J]. IEEE Signal Processing Magazine, 2000(5):20-46.doi:10.1109/79.879337.
[6] PFEIFFER S, FISCHER S, EFFELSBERG W. Automatic audio content analysis [A]. New York:ACM, 1997.21-30.

相似文献/References:

[1]陈锻生.多媒体计算机的数字音频处理技术[J].华侨大学学报(自然科学版),1996,17(2):208.[doi:10.11830/ISSN.1000-5013.1996.02.0208]
　Chen Duansheng.Digital Audio-Frequency Processing Techniques for a Multi-Media Computer[J].Journal of Huaqiao University(Natural Science),1996,17(2):208.[doi:10.11830/ISSN.1000-5013.1996.02.0208]

备注/Memo

备注/Memo:
华侨大学科研基金资助项目(09HZR12)
更新日期/Last Update: 2014-03-23