Multispeaker direction of arrival tracking for multimodal source separation of moving sources

2011 ◽  
Author(s):  
Ata-ur-Rehman ◽  
S.M. Naqvi ◽  
R. Phan ◽  
J.A. Chambers
Keyword(s):  
Source Separation ◽  
Direction Of Arrival ◽  
Moving Sources

scholarly journals Direction-of-Arrival Estimation of Virtual Array Signals Based on Doppler Effect

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Feng Zhao ◽  
Xia Hao ◽  
Hongbin Chen
Keyword(s):  
High Speed ◽  
Estimation Method ◽  
High Mobility ◽  
Direction Of Arrival ◽  
Doa Estimation ◽  
Estimation Accuracy ◽  
Music Algorithm ◽  
Moving Sources ◽  
Direction Of Departure ◽  
Virtual Array

The estimation accuracy of direction-of-departure (DOD) and direction-of-arrival (DOA) is reduced because of Doppler shifts caused by the high-speed moving sources. In this paper, an improved DOA estimation method which combines the forward-backward spatial smoothing (FBSS) technique with the MUSIC algorithm is proposed for virtual MIMO array signals in high mobility scenarios. Theoretical analysis and experiment results demonstrate that the resolution capability can be significantly improved by using the proposed method compared to the MUSIC algorithm for the moving sources with limited array elements, especially the DOA which can still be accurately estimated when the sources are much closely spaced.

A Multimodal Solution to Blind Source Separation of Moving Sources

2010 ◽  
pp. 107-125
Author(s):  
Syed Mohsen Naqvi ◽  
Yonggang Zhang ◽  
Miao Yu ◽  
Jonathon A. Chambers
Keyword(s):  
Real Time ◽  
Blind Source Separation ◽  
Particle Filtering ◽  
Source Separation ◽  
Visual Modality ◽  
Time Varying ◽  
Video Cameras ◽  
Moving Sources ◽  
Tracking Process ◽  
Reverberant Environment

A novel multimodal solution is proposed to solve the problem of blind source separation (BSS) of moving sources. Since for moving sources the mixing filters are time varying, therefore, the unmixing filters should also be time varying and can be difficult to track in real time. In this solution the visual modality is utilized to facilitate the separation of moving sources. The movement of the sources is detected by a relatively simplistic 3-D tracker based on video cameras. The tracking process is based on particle filtering which provides robust tracking performance. Positions and velocities of the sources are obtained from the 3-D tracker and if the sources are moving, a beamforming algorithm is used to perform real time speech enhancement and provide separation of the sources. Experimental results show that by utilizing the visual modality, a good BSS performance for moving sources in a low reverberant environment can be achieved.

Sign in / Sign up

Export Citation Format

Share Document