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...

Full description

Saved in:
Bibliographic Details
Published inOptoelectronics letters Vol. 16; no. 6; pp. 462 - 466
Main Authors Chen, Hong-kai, Wang, Ting-feng, Wu, Shi-song, Li, Yuan-yang
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University of Technology 01.11.2020
Springer Nature B.V
Subjects
Algorithms
Fiber lasers
Lasers
Noise reduction
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Pulsed lasers
Separation
Signal to noise ratio
Speech
Vibration
Vibration meters
A
Online AccessGet full text

Cover

More Information
Summary: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.
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-020-9169-z