Advances in Audio Watermarking Based on Singular Value by Pranab Kumar Dhar, Tetsuya Shimamura

By Pranab Kumar Dhar, Tetsuya Shimamura

This e-book introduces audio watermarking equipment for copyright safeguard, which has drawn broad recognition for securing electronic info from unauthorized copying. The e-book is split into components. First, an audio watermarking approach in discrete wavelet rework (DWT) and discrete cosine remodel (DCT) domain names utilizing singular price decomposition (SVD) and quantization is brought. this technique is strong opposed to a number of assaults and offers sturdy imperceptible watermarked sounds. Then, an audio watermarking procedure in quickly Fourier rework (FFT) area utilizing SVD and Cartesian-polar transformation (CPT) is gifted. this system has excessive imperceptibility and excessive info payload and it offers reliable robustness opposed to a variety of assaults. those innovations let media vendors to guard copyright and to teach authenticity and possession in their fabric in various functions.

· good points new equipment of audio watermarking for copyright safeguard and possession protection

· Outlines recommendations that supply stronger functionality when it comes to imperceptibility, robustness, and knowledge payload

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

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In addition, the alteration of the sample values introduces a low power additive white Gaussian noise (AWGN), which makes this algorithm less perceptually transparent because listeners are very sensitive to this noise. 2 Audio Watermarking Using Echo Hiding Echo hiding based watermarking method embeds a watermark bit by introducing an ‘echo’. An echo is a reflection of sound, arriving at the listener some time after the original sound [35]. Four parameters of the echo are initial amplitude, decay rate of the echo amplitude, ‘one’ offset and ‘zero’ offset.

Since the proposed watermark embedding and detection processes depend on the secret keys K1 and K2 , it is impossible to maliciously detect the watermark without these keys.

2 Objective Evaluation Test Objective evaluation was done by calculating the SNR of the watermarked audio signal. According to the IFPI recommendation, audio watermarking should be imperceptible when SNR is over 20 dB. 1. 1. 1. 329, indicating that original and watermarked audio signals are perceptually indistinguishable. 7 show the time domain and a spectrogram representation of the original audio signal with a watermarked audio signal in which the watermark is imperceptible using the proposed method.

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