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Efficiently self-synchronized audio watermarking for assured audio data transmission

机译:高效的自同步音频水印,可确保音频数据传输

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摘要

In this paper, we propose a self-synchronization algorithm for audio watermarking to facilitate assured audio data transmission. The synchronization codes are embedded into audio with the informative data, thus the embedded data have the self-synchronization ability. To achieve robustness, we embed the synchronization codes and the hidden informative data into the low frequency coefficients in DWT (discrete wavelet transform) domain. By exploiting the time-frequency localization characteristics of DWT, the computational load in searching synchronization codes has been dramatically reduced, thus resolving the contending requirements between robustness of hidden data and efficiency of synchronization codes searching. The performance of the proposed scheme in terms of SNR (signal to noise ratio) and BER (bit error rate) is analyzed. An estimation formula that connects SNR with embedding strength has been provided to ensure the transparency of embedded data. BER under Gaussian noise corruption has been estimated to evaluate the performance of the proposed scheme. The experimental results are presented to demonstrate that the embedded data are robust against most common signal processing and attacks, such as Gaussian noise corruption, resampling, requantization, cropping, and MP3 compression.
机译:在本文中,我们提出了一种用于音频水印的自同步算法,以确保音频数据的传输。同步码与信息数据一起嵌入音频中,因此嵌入的数据具有自同步能力。为了实现鲁棒性,我们将同步代码和隐藏的信息数据嵌入到DWT(离散小波变换)域的低频系数中。通过利用DWT的时频定位特性,大大降低了搜索同步码的计算量,从而解决了隐藏数据的鲁棒性和同步码搜索效率之间的竞争要求。分析了该方案在SNR(信噪比)和BER(误码率)方面的性能。提供了一种将SNR与嵌入强度相联系的估计公式,以确保嵌入数据的透明性。估计了高斯噪声破坏下的BER,以评估所提出方案的性能。实验结果表明,嵌入式数据对于大多数常见的信号处理和攻击(例如高斯噪声破坏,重采样,重新量化,裁剪和MP3压缩)具有鲁棒性。

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