Digital audio watermarking in the cepstrum domain
IEEE Transactions on Consumer Electronics
A novel echo-hiding scheme with backward and forward kernels
IEEE Transactions on Circuits and Systems for Video Technology
DWT-Based Audio Watermarking Using Support Vector Regression and Subsampling
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
A learning-based audio watermarking scheme using kernel Fisher discriminant analysis
Digital Signal Processing
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An audio watermarking scheme with neural network is presented in this paper. The hiding watermark, which is the combination of the chaotic sequence and the watermark sequence related to original watermark image, is embedded into the DCT coefficients of the original audio signal. Meanwhile, to improve the ability of de-synchronization attack, the synchronous code is embedded into the original audio signal in the time domain. To extract the watermark sequence, first we select DCT coefficients corresponding to the pseudorandom sequence as the training sample, which can be used to train the neural network. Then the DCT coefficients relating to the watermark sequence is taken as the validation sample. Experimental results show that the proposed method has good robustness under general signal manipulations.