目标物材料特性对激光语音获取的影响研究

Influence of materials-properties of targets on laser voice detection

  • 摘要: 为了扩大激光语音检测系统的应用场景,分析目标物材料参数对系统语音获取的影响,在完善语音获取中,语音信号从产生到与目标物作用的信号流程基础上,对目标物进行声致振动建模,以Sewell-Sharp-Cremer模型为基础,提出目标物声致振动幅度计算方法,并根据Matlab分析计算和实验对比了铁、铝、塑料、纸4种目标物的振幅及其对激光语音获取的影响。仿真及实验结果表明:目标物振幅在300 Hz~1 000 Hz呈指数型衰减,在1 000 Hz以上衰减趋于平缓;300 Hz处非金属材料振幅为69 nm和62 nm,高于金属材料的30 nm和10 nm。金属材料较非金属材料动态范围小,频率敏感度低,更适合作为语音获取的目标物。

     

    Abstract: To enlarge the application scenario of laser voice acquisition system and analyze the influence of targets- material properties on voice acquisition, based on the acquisition process of voice signal from sound source to target, we established a vibration model of targets based on Sewell-Sharp-Cremer model and proposed a calculation method for targets- vibration amplitude. Through Matlab simulation and experiment, the amplitude and voice acquisition results of Fe, Al, plastic and paper were compared. The results show that the amplitudes of 4 targets decay exponentially during 300 Hz~1 000 Hz and go flat above 1 000 Hz. Vibration amplitudes of non-metallic materials are 69nm and 62 nm while those of metal materils are 30 nm and 10 nm. Therefore, metal materials are more appropriate to be the target for voice detection according to their small dynamic range and low frequency sensitivity.

     

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