Al-Yaman, M.S., Al-Taee, M.A. and Alshammas, H.A. (2012) Audio-watermarking based ownership verification system using enhanced DWT-SVD technique. In: 9th nternational Multi-Conference on Systems, Signals and Devices; 20 - 23 Mar 2012, Chemnitz, Germany. ISBN 9781467315906Full text not available from this archive.
Audio watermarking has been proposed as an effective solution to solve or mitigate the new challenges of audio ownership verification. These challenges arose from easiness of copying and distributing of audio applications. This paper proposes important performance enhancements to a previously-reported audio ownership verification system based upon utilizing a combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) techniques. A new audio signal framing, DWT matrix formation and embedding methods are proposed and successfully implemented to improve the minimum audio-cover period, quality of the watermarked audio and its robustness against various attacks. Performance evaluation of the developed system demonstrated improvements of 69% in the required minimum audio-cover period, 25% in the Signal-to-Noise Ratio (SNR), and improved robustness against various watermarking benchmark attacks.
|Item Type:||Conference or Workshop Item (Paper)|
|Event Title:||9th nternational Multi-Conference on Systems, Signals and Devices|
|Uncontrolled Keywords:||DWT matrix formation , audio signal framing , audio-watermarking based ownership verification system , discrete wavelet transform , enhanced DWT-SVD technique , singular value decomposition|
|Research Area:||Computer science and informatics|
|Faculty, School or Research Centre:||Faculty of Science, Engineering and Computing > School of Computing and Information Systems
Faculty of Science, Engineering and Computing
|Depositing User:||Majid Al-Taee|
|Date Deposited:||23 Nov 2012 11:10|
|Last Modified:||23 Nov 2012 11:10|
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