Geometrical transforms such as time-scale modification (TSM), random removal(RR), random duplication(RD), and
cropping, are of common operations on audio signals while presents many challenges to robust audio watermarking. The
existing algorithms aiming at solving the geometrical distortions have various drawbacks e.g. high false alarm
probability, heavy computation load, small data hiding capacity, and low robustness performance. In this paper an audio
watermarking algorithm based on dyadic wavelet transform robust to geometrical distortions is proposed. Watermark
synchronization is achieved using the geometrical invariant properties of dyadic wavelet transform. A well-designed
coding scheme is proposed for lowering the bit error rate of the watermark. The experimental results show that the
watermark is robust to geometrical transforms and other common operations. Compared with other existing algorithms
the proposed algorithm has several advantages of high robustness, large data hiding capacity and low computation load.
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