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The application of wavelet analysis and audio compression technology in digital audio watermarking

机译:小波分析和音频压缩技术在数字音频水印中的应用

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In this paper, we propose apply wavelet analysis and audio compress technology in audio watermarking. Our approach performs a wavelet transformation to determine the local audio properties optimal. Then apply audio compression technology local the watermark embedding location. A chaos sequence being watermark is embedded into the significant coefficients of the audio in detail coefficients. The scheme we proposed is shown to be very robust to a wide range of attacks including most challenging time-scaling and pitch-shifting warping. The results have shown the watermark imperceptible and robust against some signal processing. Extensive experimental results prove that the proposed method robustness to against the data compression, cropping attack and some kinds of synchronization attacks such as MP3, white Gaussian noise, filter and so on.
机译:在本文中,我们提出将小波分析和音频压缩技术应用于音频水印。我们的方法执行小波变换以确定最佳的本地音频属性。然后在水印嵌入位置局部应用音频压缩技术。作为水印的混沌序列被嵌入到音频的有效系数中,即详细系数中。我们提出的方案显示出对各种攻击(包括最具挑战性的时标和音调偏移翘曲)的鲁棒性。结果表明,水印对于某些信号处理而言是不可察觉的并且具有鲁棒性。大量的实验结果证明,该方法具有较强的鲁棒性,可以抵抗数据压缩,裁剪攻击以及诸如MP3,高斯白噪声,滤波器等多种同步攻击。

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