Title :
Acoustic source direction by hemisphere sampling
Author :
Birchfield, Stanley T. ; Gillmor, Daniel Kahn
Author_Institution :
Quindi Corp., Palo Alto, CA, USA
Abstract :
A method for estimating the direction to a sound source, using a compact array of microphones, is presented. For each pair of microphones, the signals are prefiltered and correlated. Rather than taking the peak of the correlation vectors as estimates for the time delay between the microphones, all the correlation vectors are accumulated in a common coordinate system, namely a unit hemisphere centered on the microphone array. The maximum cell in the hemisphere then indicates the azimuthal and elevation angles to the source. Unlike previous techniques, this algorithm is applicable to arbitrary microphone configurations, handles more than two microphone pairs, and has no blind spots. Experiments demonstrate significantly increased robustness to noise, compared with previous techniques
Keywords :
acoustic correlation; acoustic signal processing; array signal processing; delay estimation; microphones; signal sampling; acoustic source direction estimation; arbitrary microphone configurations; azimuthal angles; common coordinate system; correlation vectors; elevation angles; hemisphere sampling; microphone array; noise robustness; sound source; time delay estimation; Acoustic noise; Acoustic propagation; Additive noise; Delay effects; Delay estimation; Filters; Microphone arrays; Noise robustness; Reverberation; Sampling methods;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940302