• Optoelectronics Letters
  • Vol. 20, Issue 4, 222 (2024)
Ran ZHOU1,2,3, Shuai ZHAO1,2,3, Mingming LUO1,2,3,*, Xin MENG1,2,3..., Jie MA1,2,3 and Jianfei LIU1,2,3|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
  • show less
    DOI: 10.1007/s11801-024-3167-5 Cite this Article
    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 Copy Citation Text show less

    Abstract

    The distributed acoustic sensing technology was used for real-time speech reproduction and recognition, in which the voiceprint can be extracted by the Mel frequency cepstral coefficient (MFCC) method. A classic ancient Chinese poem “You Zi Yin”, also called “A Traveler’s Song”, was analyzed both in time and frequency domains, where its real-time reproduction was achieved with a 116.91 ms time delay. The smaller scaled MFCC0 at 1/12 of MFCC matrix was taken as a feature vector of each line against the ambient noise, which provides a recognition method via cross-correlation among the 6 original and recovered verse pairs. The averaged cross-correlation coefficient of the matching pairs is calculated to be 0.580 6 higher than 0.188 3 of the nonmatched pairs, promising an accurate and fast method for real-time speech reproduction and recognition over a passive optical fiber.
    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
    Download Citation