DEVELOPMENT OF AN IMPROVED AUDIO WATERMARKING SCHEME USING STATIONARY WAVELET TRANSFORM AND SINGULAR VALUE DECOMPOSITION TECHNIQUE
Publication Date : 23/04/2021
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ABSTRACT: This paper developed the scheme of SWT-SVD technique to improve robustness and inaudibly of audio watermark. The host audio signal was partitioned into non-overlapping frames of equal size and number of frames was equivalent to the number of watermarking bits. The scheme was subjected to various attacks with a view of evaluating its performance on different audios namely: classical, country, folk, jazz, metal, pop and rock music respectively. The simulation was done on MATLAB 2018a using Signal Processing and Communications Toolbox. The results obtained from simulations showed that the developed watermarking scheme when compared to existing scheme was found to be better in terms of robustness and inaudibility. Classical music recorded an improvement in terms of inaudibility with Signal to Noise Ratio (SNR) value of 9.43% over existing watermarking scheme. Additionally, developed watermarking scheme achieved improvement in terms of robustness with Normalized Cross Correlation (NCC) value of 1.52% and reduction in Bit Error Rate (BER) with average value of 13.81% relative to existing watermarking scheme.
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