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