Optoelectronics Letters, Volume. 16, Issue 6, 462(2020)

Research on separation and enhancement of speech micro-vibration from macro motion

Hong-kai CHEN1...2, Ting-feng WANG1,*, Shi-song WU1,2 and Yuan-yang LI1 |Show fewer author(s)
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100059, China
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    Based on the 1 550 nm all-fiber pulsed laser Doppler vibrometer (LDV) system independently developed by our laboratory, empirical mode decomposition (EMD) and optimally modified Log-spectral amplitude estimator (OM-LSA) algorithms are associated to separate the speech micro-vibration from the target macro motion. This combined algorithm compensates for the weakness of the EMD algorithm in denoising and the inability of the OM-LSA algorithm on signal separation, achieving separation and simultaneous acquisition of the macro motion and speech micro-vibration of a target. The experimental results indicate that using this combined algorithm, the LDV system can functionally operate within 30 m and gain a 4.21 dB promotion in the signal-to-noise ratio (SNR) relative to a traditional OM-LSA algorithm.

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    CHEN Hong-kai, WANG Ting-feng, WU Shi-song, LI Yuan-yang. Research on separation and enhancement of speech micro-vibration from macro motion[J]. Optoelectronics Letters, 2020, 16(6): 462

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    Paper Information

    Received: Oct. 9, 2019

    Accepted: Nov. 27, 2019

    Published Online: Dec. 25, 2020

    The Author Email: Ting-feng WANG (tfwang_ciomp@sina.com)

    DOI:10.1007/s11801-020-9169-z

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