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DCT Based blind audio watermarking scheme

机译:基于DCT的盲音毒水印方案

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摘要

During these recent years, different digital audio media are available due to internet and audio processing techniques. This is beneficial to our daily life but it brings the problem of ownership protection. As a solution, audio watermarking technique has been quickly developed. It consists of embedding information into digital audio data. This paper proposes an audio watermarking scheme operating in frequency domain using Discrete Cosine transforms (DCT). We take the advantage of hiding the mark in the frequency domain to guarantee robustness. To increase robustness of our schemes, the watermark is refined by the Hamming error correcting code. We study the band used to hide the watermark bits according essentially to the effects of the MP3 compression on the watermarked audio signal. To assure watermark embedding and extraction, we use neural network architecture. Experimental results show that the watermark is imperceptible and the algorithm is robust to many attacks like MP3 compression with several compression rates and various Stirmark attacks. Furthermore, the watermark can be blind extracted without needing the original audio.
机译:在近年来,由于互联网和音频处理技术,不同的数字音频介质可用。这对我们的日常生活有益,但它带来了所有权保护问题。作为解决方案,迅速开发了音频水印技术。它包括将信息嵌入数字音频数据。本文提出了一种使用离散余弦变换(DCT)在频域中运行的音频水印方案。我们利用掩饰频域中的标记以保证鲁棒性。为了增加我们计划的稳健性,水印由汉明误差校正代码改进。我们研究用于隐藏水印比特的频带,本质上将水印比特隐藏在水印音频信号上的MP3压缩的影响。为了确保水印嵌入和提取,我们使用神经网络架构。实验结果表明,水印是难以察觉的,并且算法对许多攻击等攻击具有多种压缩率和各种斯蒂尔乐园的攻击。此外,在不需要原始音频的情况下,水印可以提取盲目的提取。

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