Optoelectronics Letters, Volume. 20, Issue 4, 222(2024)

MFCC based real-time speech reproduction and recognition using distributed acoustic sensing technology

Ran ZHOU1...2,3, Shuai ZHAO1,2,3, Mingming LUO1,2,3,*, Xin MENG1,2,3, Jie MA1,2,3, and Jianfei LIU1,23 |Show fewer author(s)
Author Affiliations
  • 1School of Electronic Information Engineering, Hebei University of Technology, Tianjin 300401, China
  • 2Tianjin Key Laboratory of Electronic Materials and Devices, Hebei University of Technology, Tianjin 300401,China
  • 3Hebei Key Laboratory of Advanced Laser Technology and Equipment, Hebei University of Technology, Tianjin300401, China
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    References(32)

    [1] [1] WITTJE R. The electrical imagination: sound analogies,equivalent circuits, and the rise of electroacoustics,1863-1939[J]. Osiris, 2013, 28(1): 40-63.

    [2] [2] HUANG Y, ZHOU X. Non-reciprocal sound transmission in electro-acoustic systems with time-modulated circuits[J]. Acta mechanica solida sinica, 2022, 35(6):940-948.

    [3] [3] SHERIF M M, KHAKIMOVA E M, TANKS J, et al.Cyclic flexural behavior of hybrid SMA/steel fiber reinforced concrete analyzed by optical and acoustic techniques[J]. Composite structures, 2018, 201: 248-260.

    [4] [4] JOE H E, YUN H, JO S H, et al. A review on optical fiber sensors for environmental monitoring[J]. International journal of precision engineering and manufacturing-green technology, 2018, 5(1): 173-191.

    [5] [5] HUBBARD P G, XU J, ZHANG S, et al. Dynamic structural health monitoring of a model wind turbine tower using distributed acoustic sensing (DAS)[J].Journal of civil structural health monitoring, 2021,11(3): 833-849.

    [6] [6] FERNANDZE-RUIZ M R, SOTO M A, WILLIAMS E F, et al. Distributed acoustic sensing for seismic activity monitoring[J]. APL photonics, 2020, 5(3).

    [7] [7] MOCCIA M, PISCO M, CUTOLO A, et al. Opto-acoustic behavior of coated fiber Bragg gratings[J].Optics express, 2011, 19(20): 18842-18860.

    [8] [8] MACIA-SANAHUJA C, LAMELA H, GARCIA-SOUTO J A. Fiber optic interferometric sensor for acoustic detection of partial discharges[J]. Journal of optical technology, 2007, 74(2): 122-126.

    [9] [9] XIONG J, WANG Z, JIANG J, et al. High sensitivity and large measurable range distributed acoustic sensing with Rayleigh-enhanced fiber[J]. Optics letters, 2021,46(11): 2569-2572.

    [10] [10] FANG G, XU T, FENF S, et al. Phase-sensitive optical time domain reflectometer based on phase-generated carrier algorithm[J]. Journal of lightwave technology,2015, 33(13): 2811-2816.

    [11] [11] WANG Z, ZHANG L, WANG S, et al. Coherent Φ-OTDR based on I/Q demodulation and homodyne detection[J]. Optics express, 2016, 24(2): 853-858.

    [12] [12] TU G, ZHANG X, ZHANG Y, et al. The development of an Φ-OTDR system for quantitative vibration measurement[J]. IEEE photonics technology letters, 2015,27(12): 1349-1352.

    [13] [13] WANG S, JIANG J, WANG S, et al. GPU-based fast processing for a distributed acoustic sensor using an LFM pulse[J]. Applied optics, 2020, 59(35):11098-11103.

    [14] [14] ZHU K, ZHOU B, WU H, et al. Multipath distributed acoustic sensing system based on phase-sensitive optical time-domain reflectometry with frequency division multiplexing technique[J]. Optics and lasers in engineering,2021, 142: 106593.

    [15] [15] ZHANG X, QIAO W, SUN Z, et al. A distributed optical fiber sensing system for synchronous vibration and loss measurement[J]. Optoelectronics letters, 2016,12(5): 375-378.

    [16] [16] LU Y, ZHU T, CHEN L, et al. Distributed vibration sensor based on coherent detection of phase-OTDR[J].Journal of lightwave technology, 2010, 28(22):3243-3249.

    [17] [17] DONG Y, CHEN X, LIU E, et al. Quantitative measurement of dynamic nanostrain based on a phase-sensitive optical time domain reflectometer[J].Applied optics, 2016, 55(28): 7810-7815.

    [18] [18] MASOUDI A, BELAL M, NEWSON T P. Distributed optical fiber audible frequency sensor[C]//23rd International Conference on Optical Fiber Sensors, June 2-6,2014, Santander, Spain. Washington: SPIE, 2014:537-540.

    [19] [19] FRANCISCANGELIS C, MARGULIS W, KJELLBERG L, et al. Real-time distributed fiber microphone based on phase-OTDR[J]. Optics express, 2016, 24(26):29597-29602.

    [20] [20] WU Y, GAN J, LI Q, et al. Distributed fiber voice sensor based on phase-sensitive optical time-domain reflectometry[J]. IEEE photonics journal, 2015, 7(6):1-10.

    [21] [21] ZHANG P, VENKETESWARAN A, WRIGHT R, et al.Feature extraction for pipeline defects inspection based upon distributed acoustic fiber optic sensing data[C]//Fiber Optic Sensors and Applications XVIII,April 3-June 12, 2022, Virtual. Washington: SPIE,2022: 14-29.

    [22] [22] TABJULA J, SHARMA J. Feature extraction techniques for noisy distributed acoustic sensor data acquired in a wellbore[J]. Applied optics, 2023, 62(16): E51-E61.

    [23] [23] NING F, CHENG Z, MENG D, et al. A framework combining acoustic features extraction method and random forest algorithm for gas pipeline leak detection and classification[J]. Applied acoustics, 2021, 182:108255.

    [24] [24] WU H, WANG C, LIU X, et al. Intelligent target recognition for distributed acoustic sensors by using both manual and deep features[J]. Applied optics, 2021,60(23): 6878-6887.

    [25] [25] JIANG F, LI H, ZHANG Z, et al. An event recognition method for fiber distributed acoustic sensing systems based on the combination of MFCC and CNN[C]//2017 International Conference on Optical Instruments and Technology: Advanced Optical Sensors and Applications,October 28-30, 2017, Beijing, China. Washington:SPIE, 2018: 15-21.

    [26] [26] SHI Y, LIU X, WEI C. An event recognition method based on MFCC, superposition algorithm and deep learning for buried distributed optical fiber sensors[J].Optics communications, 2022, 522: 128647.

    [27] [27] SHANG Y, YANG J, CHEN W, et al. Speech signal enhancement based on deep learning in distributed acoustic sensing[J]. Optics express, 2023, 31(3):4067-4079.

    [28] [28] BENCHARIF B A E, BAYAR S, ?ZKAN E. Parallel implementation of distributed acoustic sensor acquired signals: detection, processing, and classification[J].Journal of applied remote sensing, 2022, 16(2):024504-024504.

    [29] [29] AYVAZ U, GURULER H, KHAN F, et al. Automatic speaker recognition using mel-frequency cepstral coefficients through machine learning[J]. CMC-computers materials & continua, 2022, 71(3).

    [30] [30] ARPITHA Y, MASHUMATHI G L, BALAJI N. Spectrogram analysis of ECG signal and classification efficiency using MFCC feature extraction technique[J].Journal of ambient intelligence and humanized computing,2022, 13(2): 757-767.

    [31] [31] GANCHEV T, FAKOTAKIS N, KOKKINAKIS G.Comparative evaluation of various MFCC implementations on the speaker verification task[C]//Proceedings of the SPECOM, October 17-19, 2005, Patras, Greece.Moscow, 2005: 191-194.

    [32] [32] BLOTEKJAER K. Fundamental noise sources that limit the ultimate resolution of fiber optic sensors[C]//Optical and Fiber Optic Sensor Systems, September 16-19,1998, Beijing, China. Washington: SPIE, 1998: 1-12.

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    ZHOU Ran, ZHAO Shuai, LUO Mingming, MENG Xin, MA Jie, LIU Jianfei. MFCC based real-time speech reproduction and recognition using distributed acoustic sensing technology[J]. Optoelectronics Letters, 2024, 20(4): 222

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    Paper Information

    Received: Aug. 18, 2023

    Accepted: Oct. 13, 2023

    Published Online: Aug. 9, 2024

    The Author Email: Mingming LUO (mmluo@hebut.edu.cn)

    DOI:10.1007/s11801-024-3167-5

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