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The effect of speckles noise on the Laser Doppler Vibrometry for remote speech detection

机译:斑点噪声对远程语音检测激光多普勒振动器的影响

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摘要

Speckles noise generated by the relative in-plane motion between the Laser Doppler Vibrometry (LDV) and the target damages the quality of the LDV-captured speech severely. As such, it is necessary to research on the effect of speckles noise on the LDV for remote voice detection and remove it. In this paper, we comprehensively discuss the statistical properties of dynamic speckles with the combination of theories and experiments, and the results show that the fluctuation of speckles intensity depends strongly on the relative velocity for a given value of the detection distance. Then, we investigate the effects of the speckles noise on the LDV for remote audio detection, and the results indicate that speckles noise can cause spikes and bursts appearing in the LDV-captured voice signals, which degrades the quality of the speech. To address this issue, an algorithm of the speckle noise reduction in the LDV-measured audio signals is proposed and the experimental results demonstrate that the proposed algorithm performs well.
机译:通过激光多普勒振动器(LDV)之间的相对面内运动产生的斑点噪声,并且目标损坏了LDV捕获的语音的质量。因此,有必要研究散斑噪声对LDV的影响,以进行远程语音检测并将其移除。在本文中,我们全面地讨论了具有理论和实验的组合的动态斑点的统计特性,结果表明,斑点强度的波动依赖于检测距离的给定值的相对速度。然后,我们调查斑点噪声对远程音频检测的LDV的影响,结果表明斑点噪声可能导致LDV捕获的语音信号中出现的尖峰和突发,这降低了语音的质量。为了解决这个问题,提出了一种LDV测量音频信号中的散斑降噪算法,实验结果表明所提出的算法表现良好。

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