Title :
Localization of nonstationary sources using a coherence test
Author :
Mohan, Swati ; Kramer, Michael L. ; Wheeler, Bruce C. ; Jones, Douglas L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
In some applications, it is of interest to localize more sources than number of sensors. For a class of nonstationary wideband sources that exhibit onset-offset-like behavior, we develop a statistical test to choose desirable time-frequency bins where we apply the MUSIC or minimum variance estimators. Finally, we fuse the localization results across those time-frequency bins. Experimental results with a pair of real hearing-aid microphones indicate successful localization of four speech sources.
Keywords :
acoustic signal processing; array signal processing; direction-of-arrival estimation; hearing aids; sensor fusion; signal classification; speech processing; statistics; time-frequency analysis; coherence test; direction-of-arrival estimation; hearing-aid microphones; minimum variance estimators; multiple signal classification; nonstationary sources; speech sources; time-frequency bins; Application software; Biosensors; Fuses; Narrowband; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms; Testing; Time frequency analysis; Wideband;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289449