Robust Covert Communication over a Public Audio Channel Using Spread Spectrum
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Audio watermarking by time-scale modification
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Self-synchronization Blind Audio Watermarking Based on Feature Extraction and Subsampling
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Digital Signal Processing
Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks
Digital Audio Watermarking Techniques and Technologies: Applications and Benchmarks
A robust digital audio watermarking based on statistics characteristics
Pattern Recognition
Robust audio watermarking based on low-order zernike moments
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
Spread-spectrum watermarking of audio signals
IEEE Transactions on Signal Processing
A Novel Synchronization Invariant Audio Watermarking Scheme Based on DWT and DCT
IEEE Transactions on Signal Processing
A New Adaptive Digital Audio Watermarking Based on Support Vector Regression
IEEE Transactions on Audio, Speech, and Language Processing
Robust and high-quality time-domain audio watermarking based on low-frequency amplitude modification
IEEE Transactions on Multimedia
Localized audio watermarking technique robust against time-scale modification
IEEE Transactions on Multimedia
On the asymptotic convergence of B-spline wavelets to Gabor functions
IEEE Transactions on Information Theory - Part 2
Performance evaluation of moment-based watermarking methods: A review
Journal of Systems and Software
A multipurpose audio aggregation watermarking based on multistage vector quantization
Multimedia Tools and Applications
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It is a challenging work to design a robust audio watermarking scheme against various attacks. Wavelet moment invariances are new features combining the moment invariant features and the wavelet features, and they have some excellent characteristics, such as the ability to capture local information, robustness against common signal processing, and the linear relationship between a signal and its wavelet moments etc. Based on wavelet moment and synchronization code, we propose a new digital audio watermarking algorithm with good auditory quality and reasonable resistance against most attacks in this paper. Firstly, the origin digital audio is segmented and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. And then, map 1D digital audio signal in the second part into 2D form, and calculate its wavelet moments. Finally, the watermark bit is embedded into the average value of modulus of the low-order wavelet moments. Meanwhile combining the two adjacent synchronization code searching technology, the algorithm can extract the watermark without the help from the origin digital audio signal. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signals processing such as MP3 compression, noise addition, resampling, and re-quantization etc., but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, and jittering etc.