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

• 来源期刊: 光电子快报（英文版）
• 年，卷（期）: 2020,（6）
• 所属期刊栏目: Measurement Devices and Methods
• 页码范围: 462-466
• 页数: 5页
• 语种: 英文
• DOI: 10.1007/s11801-020-9169-z

摘要

Based on the 1550 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.