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

Hong-kai Chen , Ting-feng Wang , Shi-song Wu , Yuan-yang Li

Optoelectronics Letters ›› 2020, Vol. 16 ›› Issue (6) : 462 -466.

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Optoelectronics Letters ›› 2020, Vol. 16 ›› Issue (6) : 462 -466. DOI: 10.1007/s11801-020-9169-z
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Research on separation and enhancement of speech micro-vibration from macro motion

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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.

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Hong-kai Chen, Ting-feng Wang, Shi-song Wu, Yuan-yang Li. Research on separation and enhancement of speech micro-vibration from macro motion. Optoelectronics Letters, 2020, 16(6): 462-466 DOI:10.1007/s11801-020-9169-z

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