Robust audio watermarking using perceptual masking
Signal Processing
Watermarking applications and their properties
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Multimedia Security Handbook
An Integrated Decoding Framework for Audio Watermark Extraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Perceptual Audio Watermarking by Learning in Wavelet Domain
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Real-Time Audio Watermarking System Prototype
ISM '06 Proceedings of the Eighth IEEE International Symposium on Multimedia
Speech authentication system using digital watermarking and pattern recovery
Pattern Recognition Letters
A statistical framework for audio watermark detection and decoding
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Improved spread spectrum: a new modulation technique for robust watermarking
IEEE Transactions on Signal Processing
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
Audio watermarking scheme robust against desynchronization attacks based on kernel clustering
Multimedia Tools and Applications
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This paper proposes an on-line audio watermarking system for broadcast monitoring. The designed watermark (WM) encoder is a nonlinear data adaptive system that performs perceptual embedding. It allows working at very low watermark-to-signal ratio (WSR) levels thus preserves the inaudibility. The developed decoder adopts wavelet de-noising for blind watermark extraction and it is capable of watermark decoding while establishing the synchronization between the transmitter and the receiver. Unlike the published watermarking schemes, it is shown that the introduced WM embedding scheme minimizes false alarm ratio by adaptively controlling the WSR. Furthermore it integrates synchronization and WM extraction into one processing step resulting in an on-line decoding scheme suitable to audio broadcast monitoring. The proposed system is robust to Digital-to-Analog (D/A), Analog-to-Digital (A/D) conversions, compression and noise as well as the attenuations that arise from FM broadcasting and acoustic transmission. Performance under Stirmak attacks is also reported. It is shown that error free transmission of 24 bps is achieved at around WSR驴=驴驴32 dB when the PSNR is around 50 dB. Granularity of the system is 0.6 s thus it is capable of tracking short audio clips i.e. commercials.