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.
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This work has been supported by the National Natural Science Foundation of China (No.6210031560), the Natural Science Foundation of Hebei Province (No.A2020202013), and the Natural Science Foundation of Tianjin City (No.21JCQNJC00780).
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Zhou, R., Zhao, S., Luo, M. et al. MFCC based real-time speech reproduction and recognition using distributed acoustic sensing technology. Optoelectron. Lett. 20, 222–227 (2024). https://doi.org/10.1007/s11801-024-3167-5
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DOI: https://doi.org/10.1007/s11801-024-3167-5