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Investigation of the Optimal Parameters of the Distributed Fiber Microphone Circuit Based on φ-OTDR for Speech Recognition
- Authors: Orlova M.V.1, Gritsenko T.V.1, Zhirnov A.A.1, Konstantinov Y.A.2, Turov A.T.2, Pnev A.B.1, Karasik V.E.1
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Affiliations:
- Bauman Moscow State Technical University
- Perm Federal Research Center, Ural Branch, Russian Academy of Sciences
- Issue: No 5 (2023)
- Pages: 129-133
- Section: ФИЗИЧЕСКИЕ ПРИБОРЫ ДЛЯ ЭКОЛОГИИ, МЕДИЦИНЫ, БИОЛОГИИ
- URL: https://rjraap.com/0032-8162/article/view/670423
- DOI: https://doi.org/10.31857/S0032816223050208
- EDN: https://elibrary.ru/ZVBEJN
- ID: 670423
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Abstract
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.
About the authors
M. V. Orlova
Bauman Moscow State Technical University
Email: manja254@yandex.ru
105005, Moscow, Russia
T. V. Gritsenko
Bauman Moscow State Technical University
Email: manja254@yandex.ru
105005, Moscow, Russia
A. A. Zhirnov
Bauman Moscow State Technical University
Email: manja254@yandex.ru
105005, Moscow, Russia
Yu. A. Konstantinov
Perm Federal Research Center, Ural Branch, Russian Academy of Sciences
Email: manja254@yandex.ru
614990, Perm, Russia
A. T. Turov
Perm Federal Research Center, Ural Branch, Russian Academy of Sciences
Email: manja254@yandex.ru
614990, Perm, Russia
A. B. Pnev
Bauman Moscow State Technical University
Email: manja254@yandex.ru
105005, Moscow, Russia
V. E. Karasik
Bauman Moscow State Technical University
Author for correspondence.
Email: manja254@yandex.ru
105005, Moscow, Russia
References
- Zhirnov A.A., Choban T.V., Stepanov K.V., Koshelev K.I., Chernutsky A.O., Pnev A.B., Karasik V.E. // Sensors. 2022. V. 22. P. 2772. https://doi.org/10.3390/s22072772
- Nordin N.D., Abdullah F., Zan M.S.D., A Bakar A.A., Krivosheev A.I., Barkov F.L., Konstantinov Y.A. // Sensors. 2022. V. 22. P. 2677. https://doi.org/10.3390/s22072677
- Zhirnov A.A., Stepanov K.V., Sazonkin S.G., Choban T.V., Koshelev K.I., Chernutsky A.O., Pnev A.B., Novikov A.O., Yagodnikov D.A. // Sensors. 2021. V. 21. P. 7836. https://doi.org/10.3390/s21237836
- Bucaro J.A., Dardy H.D., Carome E.F. // J. Acoust. Soc. Am. 1977. V. 62. P. 1302. https://doi.org/10.1121/1.381624
- Bruno F.A., Janneh M., Gunda A., Kyselica R., Stajanca P., Werzinger S., Gruca G., Rijnveld N., Persiano G.V., Cutolo A., Pisco M., Cusano A. // Opt. Las. Eng. 2022. V. 160. P. 107269. https://doi.org/10.1016/j.optlaseng.2022.107269
- Stepanov K.V., Zhirno, A.A., Chernutsky A.O., Koshelev K.I., Pnev A.B., Lopunov A.I., Butov O.V. // Sensors. 2020. V. 20. P. 6431. https://doi.org/10.3390/s20226431
- Choban T.V., Zhirnov A.A., Chernutsky A.O., Stepanov K.V., Pniov A.B., Galzerano G., Karasik V.E., Svelto C. // J. Phys. Conf. Ser. 2019. V. 1410. P. 012108. https://doi.org/10.1088/1742-6596/1410/1/012108
- Peng F., Wu H., Jia X.-H., Rao Y.-J., Wang Z.-N., Peng Z.-P. // Opt. Express. 2014. V. 22. P. 13804. https://doi.org/10.1364/OE.22.013804
- Liu K., Jin X., Jiang J., Xu T., Ding Zh., Huang Y., Sun Zh., Xue K., Li S., Liu T. // IEEE Sens. J. 20227 V. 22. P. 21428. https://doi.org/10.1109/JSEN.2022.3213036
- Franciscangelis C., Margulis W., Kjellberg L., Soderquist I., Fruett F. // J. Opt. Soc. Am. 2016. V. 24. P. 29597. https://doi.org/10.1364/OE.24.029597
- Zamarreno C.R., Martelli C., Daciuk R., Dutra G., Dreyer U.J., Cardozo Da Silva J.C., Matias I.R., Arregui F.J. // IEEE Sensors. 2017. V. 17. P. 1. https://doi.org/10.1109/ICSENS.2017.8234126
- Wu Y., Gan J., Li Q., Zhang Z., Heng X., Yang Z. // IEEE Photonics J. 2015. V. 7. P. 1. https://doi.org/10.1109/JPHOT.2015.2499539
- Hao H., Pang Z., Wang G., Wang B. // Opt. Express. 2022. V. 30. P. 36774. https://doi.org/10.48550/arXiv.2207.05267
- Gorshkov B.G., Yüksel K., Fotiadi A.A., Wuilpart M., Korobko D.A., Zhirnov A.A., Stepanov K.V., Turov A.T., Konstantinov Y.A., Lobach I.A. // Sensors. 2022. V. 22. P. 1033. https://doi.org/10.3390/s22031033
- Tomboza W., Guerrier S., Awwad E., Dorize C. // IEEE Photonics Technol. Lett. 2021. V. 33. P. 645. https://doi.org/10.1109/LPT.2021.3084557
- McGee V.E., Pachl C.P., Voiers W.D. // IEEE Transactions on Audio and Electroacoustics. 1969. V. 17. P. 225. https://doi.org/10.1109/TAU.1969.1162058
- Miller G.A., Licklider J.C.R. // In S.S. Stevens Handbook of Speech Perception. New York: John Wiley, 1951. P. 1040.
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