Research on separation and enhancement of speech micro-vibration from macro motion
- PDF / 1,131,188 Bytes
- 5 Pages / 595.22 x 842 pts (A4) Page_size
- 50 Downloads / 157 Views
Vol.16 No.6, 1 November 2020
Research on separation and enhancement of speech micro-vibration from macro motion* CHEN Hong-kai (䱸呯ࠟ)1,2, WANG Ting-feng (⦻ᥪጠ)1**, WU Shi-song (цᶮ)1,2, and LI Yuan-yang (ᵾ 䘌⌻)1 1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China 2. University of Chinese Academy of Sciences, Beijing 100059, China12 (Received 9 October 2019; Revised 27 November 2019) ©Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature 2020 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. Document code: A Article ID: 1673-1905(2020)06-0462-5 https://doi.org/10.1007/s11801-020-9169-z DOI
The relative movement along an optical axis between a target and light source can induce a Doppler frequency shift which represents the components of translation, vibration and rotation of the target. Since the laser Doppler vibrometer (LDV) system can measure these Doppler shifts in remote distance without contact and damage, the system has made great contributions in many research fields, such as target classification and recognition[1-3], general circulation and weather forecasting[4,5], mine detection[6,7], biometric feature research[8-10]. In addition, sound pressure can cause vibration of objects near the sound source. Therefore, the LDV system can be used for remote acoustic signal measurement[11-17]. Currently, several relevant researches based on LDV system are presented in order to obtain the micro acoustic vibration when there is no relative macro motion between target and light source. Avargel[11] presented a visible LDV system to detect the voice signal. However, this visible system has poor concealment and can be perceived easily. Lv acquired the acoustic vibration of a position-fixed object which is measured by an infrared LDV system[12] and raised an algorithm to eliminate speckles noise influence on system robustness[13]. Deng[15] and Peng[16] presented recognition algorithms to identify different speakers from LDV-captured speech, respectively. These researches on speech acquisition are *
based on a precondition that the position between object and LDV is fixed. However, there is still no effective solution for acoustic micro-vibration detection on targets with macro mo
Data Loading...
