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| Content Provider | ACM Digital Library |
|---|---|
| Author | Zhou, Wanlei Nahavandi, Saeid Xiang, Yong Guo, Song Natgunanathan, Iynkaran |
| Copyright Year | 2014 |
| Abstract | This paper presents a patchwork-based audio watermarking method to resist de-synchronization attacks such as pitch-scaling, time-scaling, and jitter attacks. At the embedding stage, the watermarks are embedded into the host audio signal in the discrete cosine transform (DCT) domain. Then, a set of synchronization bits are implanted into the watermarked signal in the logarithmic DCT (LDCT) domain. At the decoding stage, we analyze the received audio signal in the LDCT domain to find the scaling factor imposed by an attack. Then, we modify the received signal to remove the scaling effect, together with the embedded synchronization bits. After that, watermarks are extracted from the modified signal. Simulation results show that at the embedding rate of 10 bps, the proposed method achieves 98.9% detection rate on average under the considered de-synchronization attacks. At the embedding rate of 16 bps, it can still obtain 94.7% detection rate on average. So, the proposed method is much more robust to de-synchronization attacks than other patchwork watermarking methods. Compared with the audio watermarking methods designed for tackling de-synchronization attacks, our method has much higher embedding capacity. |
| Starting Page | 1413 |
| Ending Page | 1423 |
| Page Count | 11 |
| File Format | |
| ISSN | 23299290 |
| e-ISSN | 23299304 |
| DOI | 10.1109/TASLP.2014.2328175 |
| Volume Number | 22 |
| Issue Number | 9 |
| Journal | IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-09-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Audio watermarking De-synchronization attack Discrete cosine transform Patchwork Synchronization bits |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Computational Mathematics Signal Processing Electrical and Electronic Engineering Acoustics and Ultrasonics Speech and Hearing Media Technology |
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