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A blind digital audio watermarking scheme based on EMD and UISA techniques

机译:基于EMD和UISA技术的盲数字音频水印方案

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摘要

In this paper, a new perceptual spread spectrum audio watermarking scheme is discussed. The watermark embedding process is performed in the Empirical Mode Decomposition (EMD) domain, and the hybrid watermark extraction process is based on the combination of EMD and ISA (Independent Subspace Analysis) techniques, followed by the generic detection system, i.e. inverse perceptual filter, predictor filter and correlation based detector. Since the EMD decomposes the audio signal into several oscillating components-the intrinsic mode functions (IMF)-the watermark information can be inserted in more than one IMF, using spread spectrum modulation, allowing hence the increase of the insertion capacity. The imperceptibility of the inserted data is ensured by the use of a psychoacoustical model. The blind extraction of the watermark signal, from the received watermarked audio, consists in the separation of the watermark from the IMFs of the received audio signal. The separation is achieved by a new proposed under-determined ISA method, here referred to as UISA. The proposed hybrid watermarking system was applied to the SQAM (Sound Quality Assessment Material) audio database (Available at http://sound.media.mit.edu/mpeg4/audio/sqam/) and proved to have efficient detection performances in terms of Bit Error Rate (BER) compared to a generic perceptual spread spectrum watermarking system. The perceptual quality of the watermarked audio was objectively assessed using the PEMO-Q (Tool for objective perceptual assessment of audio quality) algorithm. Also, using our technique, we can extract the different watermarks without using any information of original signal or the inserted watermark. Experimental results exhibit that the transparency and high robustness of the watermarked audio can be achieved simultaneously with a substantial increase of the amount of information transmitted. A reliability of 1.8 10~(-4)(against 1.5 10~(-2) for the generic system), for a bit rate of 400 bits/s, can be achieved when the channel is not disturbed.
机译:本文讨论了一种新的感知扩频音频水印方案。水印嵌入过程是在经验模式分解(EMD)域中执行的,而混合水印提取过程则是基于EMD和ISA(独立子空间分析)技术的组合,然后是通用检测系统,即逆感知滤波器,预测器滤波器和基于相关性的检测器。由于EMD将音频信号分解为多个振荡分量(本征模式函数(IMF)),因此可以使用扩频调制将水印信息插入一个以上的IMF中,从而增加插入容量。通过使用心理声学模型可以确保所插入数据的不可感知性。从接收到的带水印的音频中盲目提取水印信号包括将水印与接收到的音频信号的IMF分离。分离是通过一种新提出的,不确定的ISA方法(此处称为UISA)实现的。拟议的混合水印系统被应用于SQAM(声音质量评估材料)音频数据库(可从http://sound.media.mit.edu/mpeg4/audio/sqam/获得),并被证明具有高效的检测性能。比特误码率(BER)与通用感知扩频水印系统相比。使用PEMO-Q(音频质量的客观感知评估工具)算法客观地评估了带水印的音频的感知质量。而且,使用我们的技术,我们可以提取不同的水印,而无需使用原始信号或插入的水印的任何信息。实验结果表明,可以同时实现水印音频的透明性和高鲁棒性,同时大大增加了传输的信息量。当信道不受干扰时,对于400位/ s的比特率,可以实现1.8 10〜(-4)的可靠性(相对于通用系统为1.5 10〜(-2))。

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