![]() ![]() Experimental work demonstrates that watermarked audio has same perceptual quality as that of original one. Haar wavelet is used for decomposition while SVD is applied to get the Eigen values of approximate coefficients of audio signal. Findings: In this approach, multiple watermarks (Image-64 X 64 pixels and text) are embedded into the approximate coefficients of Discrete Wavelet Transform of an audio signal. Objectives: To develop an audio watermarking algorithm in transform domain and improve the performance of proposed algorithm against common signal processing attacks such as filtering, adding noise, resampling, re-quantization, & volume scaling, etc. This research paper deals with a new methodology which helps to enhance the robustness of Digital Audio Watermarking technique based on Discrete Wavelet Transform (DWT) and singular value decomposition (SVD). Digital audio watermarking is the art of hiding important data in Digital Audio. Flexibility of Internet technology gives rise to concern about the protection of digital data. ![]()
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