LDV Remote Voice Acquisition and Enhancement

Laser Doppler vibrometers (LDVs) have been widely used in industry inspection. One of the superior characteristics of an LDV is that it can detect and measure extremely tiny vibration of a target at a large distance, with sensitivity on the order of 1 mum/s. On the other hand, we have found that most objects nearby audio sources can be vibrated by the audio waves. These two aspects motivate our research in a new application of the LDVs, namely remote voice detection from surrounding vibrated objects. However, the detected speech signals may be corrupted by many noise sources, such as laser photon noises, target movements, and background acoustic noises (wind, engine sound, etc.). Therefore, speech enhancement algorithms based on Gaussian bandpass and Wiener filters are designed to effectively improve the intelligibility of the noisy voice signals detected by the LDV system. Experimental results show that remote voice detection via an LDV is very promising, when choosing appropriate targets close to human subjects and using the proposed enhancement techniques

[1]  Y. Ephraim,et al.  A Brief Survey of Speech Enhancement , 2003 .

[2]  Yi Hu,et al.  A subspace approach for enhancing speech corrupted by colored noise , 2002, IEEE Signal Processing Letters.

[3]  Bir Bhanu,et al.  Tracking Humans using Multi-modal Fusion , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[4]  Weihong Li,et al.  TR-2005006: Integration of Laser Vibrometry with Infrared Video for Multimedia Surveillance Display , 2005 .

[5]  Y. Ephraim,et al.  A Brief Survey of Speech Enhancement 1 , 2018, Microelectronics.

[6]  Larry S. Davis,et al.  Multimodal tracking for smart videoconferencing , 2001, IEEE International Conference on Multimedia and Expo, 2001. ICME 2001..

[7]  Israel Cohen,et al.  On speech enhancement under signal presence uncertainty , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[8]  Israel Cohen,et al.  Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..

[9]  B. Frieden,et al.  Laser speckle and related phenomena , 1984, IEEE Journal of Quantum Electronics.

[10]  J. Dainty Laser speckle and related phenomena , 1975 .