By Pranab Kumar Dhar, Tetsuya Shimamura

This publication introduces audio watermarking equipment for copyright defense, which has drawn wide awareness for securing electronic facts from unauthorized copying. The e-book is split into components. First, an audio watermarking process in discrete wavelet rework (DWT) and discrete cosine remodel (DCT) domain names utilizing singular price decomposition (SVD) and quantization is brought. this system is powerful opposed to a variety of assaults and offers reliable imperceptible watermarked sounds. Then, an audio watermarking strategy in speedy Fourier remodel (FFT) area utilizing SVD and Cartesian-polar transformation (CPT) is gifted. this technique has excessive imperceptibility and excessive facts payload and it offers sturdy robustness opposed to a variety of assaults. those options enable media proprietors to guard copyright and to teach authenticity and possession in their fabric in a number of purposes.

· good points new tools of audio watermarking for copyright security and possession protection

· Outlines innovations that supply greater functionality when it comes to imperceptibility, robustness, and information payload

· contains functions reminiscent of facts authentication, information indexing, broadcast tracking, fingerprinting, etc.

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Extra resources for Advances in Audio Watermarking Based on Singular Value Decomposition

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1. Each audio signal was presented through headphones. Before conducting the experiment, the procedures were clearly described to the participants, who were trained in evaluating the sound quality effectively. Each participant adjusted the sound volume to their usual listening level. The participants were male and female and of different ages (22–35 years) with normal hearing ability and were suitable candidates for evaluating the sound quality effectively. 2. 0 for all watermarked sounds using the proposed method, indicating that original and watermarked audio signals are perceptually indistinguishable.

1 Watermark Preprocessing Watermark should be preprocessed first in order to improve the robustness and enhance the confidentiality. The binary image will be chaotically encrypted before embedding to increase the confidentiality of the watermarking method. 0; 1/, a and b are real parameters (map’s initial condition). 2 Proposed Watermarking Method 39 where Th is a predefined threshold. m/; 1 Ä m Ä I g and M M D I . 3) where ˚ is an exclusive-or (XOR) operation. 1/, a, and b are used as secret key K1 .

This clearly shows the good performance of the proposed method against different attacks. 4 summarizes the robustness results of the proposed method for the audio signals ‘Pop’, ‘Jazz’, and ‘Folk’. 96 and the BER values are all below 4 %, indicating the high robustness of our proposed method against different attacks. 3 Error Analysis We analyzed the performance of the proposed method in terms of the false positive error (FPE) and false negative error (FNE). It is difficult to give an exact probabilistic model for an FPE and an FNE.

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