Abstract
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.
| Original language | English |
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| DOIs | |
| Publication status | Published - Mar 2012 |
| Externally published | Yes |
| Event | 9th nternational Multi-Conference on Systems, Signals and Devices - Chemnitz, Germany Duration: 20 Mar 2012 → 23 Mar 2012 |
Conference
| Conference | 9th nternational Multi-Conference on Systems, Signals and Devices |
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| Period | 20/03/12 → 23/03/12 |
Bibliographical note
Organising Body: IEEEKeywords
- DWT matrix formation
- audio signal framing
- audio-watermarking based ownership verification system
- discrete wavelet transform
- enhanced DWT-SVD technique
- singular value decomposition
- Computer science and informatics