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Adaptive Audio Watermarking Methods and Their Performance Evaluation for Indian Musical Signals

机译:适应性音频水印方法及其对印度音乐信号的性能评估

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Spread spectrum Audio watermarking techniques implemented in DWT-DCT and DWT domain are reviewed in this paper and their performance evaluation is carried for Indian musical signals like mp3 song, Tabala, clip of Bhimsen Joshi, harmonium. The first method is based on SNR (signal to noise ratio) and is implemented in wavelet-DCT domain. The technique is developed for blind detection of the watermark. The second method is developed by modifying the group of samples (GOS) in DCT domain. The imperceptibility of the watermarking procedure is evaluated by computing the signal to noise ratio (SNR) between the original audio signal and the watermarked audio signal. For evaluation of the robustness of the techniques the watermarked signals are passed through different signal processing attacks and are observed that the watermark remains present after various signal processing attacks. To find the similarity between the recovered watermark and original watermark BER is computed.
机译:在DWT-DCT和DWT域中实现的扩频音频水印技术是在本文中审查的,并且它们的性能评估是为MP3歌曲,Tabala,Bhimsen Joshi,Harmonium的Clip的印度音乐信号进行。第一种方法基于SNR(信噪比),并在小波-DCT域中实现。该技术是开发的,用于盲目检测水印。通过修改DCT域中的样本(GOS)组开发了第二种方法。通过在原始音频信号和水印音频信号之间计算信噪比(SNR)来评估水印过程的难忘性。为了评估技术的鲁棒性,通过不同的信号处理攻击来通过水印信号,并且观察到在各种信号处理攻击之后仍然存在水印。为了找到回收水印和原始水印BER之间的相似性。

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