The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Speech Content Authentication Scheme based on High-Capacity Watermark Embedding
|
Author(s): Fang Sun (Xinyang Normal University, College of Computer and Information Technology, Xinyang Henan, China), Zhenghui Liu (Xinyang Normal University, College of Computer and Information Technology, Xinyang Henan, China)and Chuanda Qi (Xinyang Normal University, College of Mathematics and Information Science, Xinyang Henan, China)
Copyright: 2017
Volume: 9
Issue: 2
Pages: 14
Source title:
International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.2017040101
Purchase
|
Abstract
The existed content authentication schemes based on digital watermark have some shortcomings. In order to solve the problems, a speech content authentication scheme based on high-capacity watermark embedding is proposed, and the high-capacity embedding method is discussed. Firstly, speech signal is framed and segmented, and the samples of each segment are scrambled. Secondly, DCT is performed on the scrambled signal, and low-frequency coefficients are selected as the watermark embedding domain. Lastly, frame number is mapped to a sequence of integers and embedded into the domain based on the embedding method. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks, enhances the embedding capacity, and improves the security of watermark system.
Related Content
Shakir A. Mehdiyev, Tahmasib Kh. Fataliyev.
© 2024.
17 pages.
|
Fuhai Jia, Yanru Jia, Jing Li, Zhenghui Liu.
© 2024.
13 pages.
|
Dawei Zhang.
© 2024.
16 pages.
|
Yuwen Zhu, Lei Yu.
© 2023.
16 pages.
|
Vijay Kumar, Sahil Sharma, Chandan Kumar, Aditya Kumar Sahu.
© 2023.
14 pages.
|
Wenjun Yao, Ying Jiang, Yang Yang.
© 2023.
20 pages.
|
Dawei Zhang.
© 2023.
14 pages.
|
|
|