对基于法布里-珀罗（F-P）微腔结构的光纤声传感系统进行研究。传感头由具有高熔点、低热膨胀系数的氧化锆（ZrO2）管贴合氧化石墨烯（GO）薄膜制作而成。测试结果显示，F-P微腔的腔长为92.943 μm，反射谱的干涉对比度达25 dB。对传感头的声音传感性能进行测试，结合多帧比较法，实现了语音前导无话帧的自动识别。运用基于小波包变换的维纳滤波方法对采集到的信号进行去噪，相比单纯运用维纳滤波的方法，信噪比提高了1.5 dB，从而提高了语音质量。整个系统结构简单、成本低、实用性高，应用场景广泛。

In this paper， a optical fiber acoustic sensing system based on the Fabry-Perot （F-P） microcavity structure is studied. The sensor head composed of a zirconia （ZrO2） tube with a high melting point and low thermal expansion coefficient bonded to graphene oxide （GO） diaphragm. Test results show that the cavity length of the F-P microcavity is 92.943 μm. Further， the interference contrast of the reflection spectrum is 25 dB. Additionally， the sound sensing performance of the sensor head is tested. Combined with the multiframe comparison method， the automatic recognition of speech leading to silent frames is realized. The Wiener filtering method based on wavelet packet transform is used to denoise the collected signals. Moreover， the signal-to-noise ratio of this method improves by 1.5 dB compared with that of the Wiener filtering method only， thus improving the quality of the speech. The attributes of the entire system include a simple structure， low cost， high practicability， and wide application scenarios.