Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
538-542

Robust zero-watermarking algorithm based on audio fundamental frequency feature

Zheng Mengyi
Li Chen
Tian Lihua
School of Software Engineering, Xi'an Jiaotong University, Xi'an 710049, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0942

Abstract

In order to combine the digital audio watermark technology with the audio content, because of the stability of the fundamental frequency of the human voice and musical instruments, this paper designed a robust audio zero-watermarking method based on the fundamental frequency of music. Firstly, the normalized subharmonic summation algorithm extracted the fundamental frequency from each frame of the audio signal. Then, the K-means algorithm encoded the extracted fundamental frequencies so as to further improve the stability of the feature. Finally, the encoded fundamental frequencies XOR with the watermark image to generate a zero watermark sequence. Besides, when the audio is maliciously tampered, it can get the inconsistent part of the audio signal by comparing the fundamental frequency information contained in the zero watermark sequence. At the inconsistent section, the algorithm can detect the maliciously tampered area. The experiment results show that the proposed algorithm has good robustness against common attacks and jitter attacks, and the results also prove that the algorithm can detect and locate the tampering.

Foundation Support

国家自然科学基金资助项目(61403302)
中央高校基本科研业务费专项资金资助项目(XJJ2016029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0942
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Network & Communication
Pages: 538-542
Serial Number: 1001-3695(2019)02-048-0538-05

Publish History

[2019-02-05] Printed Article

Cite This Article

郑梦怡, 李晨, 田丽华. 基于音频基频特征的鲁棒零水印算法 [J]. 计算机应用研究, 2019, 36 (2): 538-542. (Zheng Mengyi, Li Chen, Tian Lihua. Robust zero-watermarking algorithm based on audio fundamental frequency feature [J]. Application Research of Computers, 2019, 36 (2): 538-542. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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