基于φ-OTDR的分布式光纤麦克风电路语音识别参数优化研究

IF 0.4 4区 工程技术 Q4 ENGINEERING, MULTIDISCIPLINARY
M. V. Orlova, T. V. Gritsenko, A. A. Zhirnov, Yu. A. Konstantinov, A. T. Turov, A. B. Pnev, V. E. Karasik
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引用次数: 0

摘要

基于一个相敏光学反射计(φ-OTDR)的实验室装置,研究了分布式光纤传声器电路的最佳参数,该装置再现了φ-OTDR的一点工作。研究了基于φ-OTDR的各种传声器结构方案和模数转换器的各种采样率。验证了φ-OTDR电路的优化配置,使得该方法在采样频率为40 kHz的录音过程中能够保证高质量的语音识别。在一个包含80个单词的哈佛句子的标准短语中,识别了71个单词,占单词总数的88.75%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation of the Optimal Parameters of the Distributed Fiber Microphone Circuit Based on φ-OTDR for Speech Recognition

Investigation of the Optimal Parameters of the Distributed Fiber Microphone Circuit Based on φ-OTDR for Speech Recognition

A study of the optimal parameters of a distributed fiber microphone circuit based on a laboratory setup of a phase-sensitive optical reflectometer (φ-OTDR), which reproduces the work of φ-OTDR at one point, has been carried out. Various schemes for constructing a microphone based on φ-OTDR and various sampling rates of the analog-to-digital converter are investigated. The optimal configuration of the φ-OTDR circuit is substantiated, which made it possible to ensure high quality of human speech recognition during voice recording by the proposed method with a sampling frequency of 40 kHz. In a standard phrase based on Harvard sentences containing 80 words, 71 words were recognized, i.e., 88.75% of their total number.

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来源期刊
Instruments and Experimental Techniques
Instruments and Experimental Techniques 工程技术-工程:综合
CiteScore
1.20
自引率
33.30%
发文量
113
审稿时长
4-8 weeks
期刊介绍: Instruments and Experimental Techniques is an international peer reviewed journal that publishes reviews describing advanced methods for physical measurements and techniques and original articles that present techniques for physical measurements, principles of operation, design, methods of application, and analysis of the operation of physical instruments used in all fields of experimental physics and when conducting measurements using physical methods and instruments in astronomy, natural sciences, chemistry, biology, medicine, and ecology.
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