Abstract
In the present years, abundant digital audio content is made available on public networks due to high speed internet and audio processing techniques. This is an advantage to our everyday life but it suffers from the ownership protection. Audio watermarking is the one of the solution for this problem. In this paper, total audio is divided into non-overlapping segments and Fast Fourier Transform (FFT) is applied to each segment. For embedding the watermark, low frequency coefficients are selected and Singular Value Decomposition (SVD) is applied to the low frequency coefficients of each segment. A binary watermark is embedded into the highest singular values using Cartesian Polar Transformation and embedding rule. The above approach suffers from de-synchronization attack and it is made resistant by including synchronization code. The results shows that this watermarking scheme is highly robust against various signal processing attacks such as re-sampling, re-quantization, cropping, MP3 compression, low-pass filtering, signal addition and subtraction. The algorithm is also compared with the state-of-art techniques available and is better in terms of SNR and payload.
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Lalitha, N.V., Srinivasa Rao, C., Jaya Sree, P.V.Y. (2016). An Efficient Audio Watermarking Based on SVD and Cartesian-Polar Transformation with Synchronization. In: Satapathy, S., Rao, N., Kumar, S., Raj, C., Rao, V., Sarma, G. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 372. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2728-1_32
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DOI: https://doi.org/10.1007/978-81-322-2728-1_32
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