Title :
A spherical microphone array system for traffic scene analysis
Author :
Li, Zhiyun ; Duraiswami, Ramani ; Grassi, Elena ; Davis, Larry S.
Author_Institution :
Perceptual Interfaces & Reality Lab., Maryland Univ., College Park, MD, USA
Abstract :
This paper describes a practical spherical microphone array system for traffic auditory scene capture and analysis. Our system uses 60 microphones positioned on the rigid surface of a sphere. We then propose an optimal design of a robust spherical beamformer with minimum white noise gain (WNG) of -6 dB. We test this system in a real-world traffic environment. Some preliminary simulation and experimental results are presented to demonstrate its performance. This system may also find applications in broader areas such as 3D audio, virtual environment, etc.
Keywords :
array signal processing; microphone arrays; traffic; white noise; -6 dB; 3D audio; real world traffic environment; robust spherical beamformer; spherical microphone array system; traffic auditory scene analysis; traffic auditory scene capture; virtual environment; white noise gain; Array signal processing; Computer vision; Image analysis; Layout; Microphone arrays; Noise robustness; Power harmonic filters; Traffic control; Vehicles; White noise;
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
DOI :
10.1109/ITSC.2004.1398921