干涉型光纤语音传感器及语音降噪方法研究
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1.安徽师范大学物理与电子信息学院芜湖241002;2.光电材料科学与技术安徽省重点实验室芜湖241002;3.安徽师范大学数学计算机科学学院芜湖241002

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TH744.3TP391

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安徽省科技攻关项目(1501041137)、安徽省教育厅自然科学基金(KJ2015A079)、安徽师范大学博士科研启动基金(751701)项目资助


Research on interferometric optical fiber acoustic sensor and noise reduction method
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1.The College of Physics and Electronic Information, Anhui Normal University, Wuhu 241002,China; 2.Anhui Key Laboratory of Optoelectronic Materials Science and Technology, Wuhu 241002,China; 3.School of Mathematics & Computer Science,Anhui Normal University, Wuhu 241002,China

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    摘要:

    近年来,光纤语音传感器已经引起科研界的广泛关注,如何提高语音探测质量是所有类型光纤语音传感器都面临一个关键问题。提出了一种新型小波包语音提取方法,用来提高光纤语音传感器语音探测质量。基于光纤干涉仪原理,搭建了光纤语音传感实验系统。实验结果表明,无论是与硬阈值处理方法还是与软阈值处理方法相比,新阈值处理方法都提高了信噪比。并且保证了语音信号的连续性,改善了语音质量。本方法可广泛应用于语音探测领域,特别是实时语音探测。

    Abstract:

    Optical fiber acoustic sensor has attracted a significant amount of research attentions in recent years. A key issue for all optical fiber acoustic sensors is to improve the quality of detected signal. In this work, a novel wavelet packet speech signal retrieving method is proposed for improving detection performance of optical fiber acoustic sensors. The experiment system of optical fiber acoustic sensing is set up based on the principle of optical fiber interferometer. The experimental results show that the new threshold processing method improves the signaltonoise ratio compared with hard threshold and soft threshold processing method. Furthermore, the continuity of speech signal is guaranteed and the speech quality is improved. The proposed method can be widely used for a variety of speech detecting applications, especially for realtime speech detecting.

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周正仙,邹翔,袁扬胜,甘露,祝玉军.干涉型光纤语音传感器及语音降噪方法研究[J].仪器仪表学报,2017,38(11):2715-2724

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  • 在线发布日期: 2017-12-23
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