• Optoelectronics Letters
  • Vol. 16, Issue 6, 462 (2020)
Hong-kai CHEN1、2, Ting-feng WANG1、*, Shi-song WU1、2, and Yuan-yang LI1
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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    DOI: 10.1007/s11801-020-9169-z Cite this Article
    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 Copy Citation Text show less

    Abstract

    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.
    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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