DocumentCode :
985434
Title :
Enhanced sound localization
Author :
Mungamuru, Bob ; Aarabi, Parham
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Ont., Canada
Volume :
34
Issue :
3
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
1526
Lastpage :
1540
Abstract :
A new approach to sound localization, known as enhanced sound localization, is introduced, offering two major benefits over state-of-the-art algorithms. First, higher localization accuracy can be achieved compared to existing methods. Second, an estimate of the source orientation is obtained jointly, as a consequence of the proposed sound localization technique. The orientation estimates and improved localizations are a result of explicitly modeling the various factors that affect a microphone´s level of access to different spatial positions and orientations in an acoustic environment. Three primary factors are accounted for, namely the source directivity, microphone directivity, and source-microphone distances. Using this model of the acoustic environment, several different enhanced sound localization algorithms are derived. Experiments are carried out in a real environment whose reverberation time is 0.1 seconds, with the average microphone SNR ranging between 10-20 dB. Using a 24-element microphone array, a weighted version of the SRP-PHAT algorithm is found to give an average localization error of 13.7 cm with 3.7% anomalies, compared to 14.7 cm and 7.8% anomalies with the standard SRP-PHAT technique.
Keywords :
acoustic signal processing; acoustics; algorithm theory; microphones; SRP-PHAT algorithm; acoustic environment; microphone array; microphone directivity; reverberation time; sound localization; source directivity; source tracking; source-microphone distance; spatial orientation; Array signal processing; Design methodology; Distributed computing; Embedded computing; Human computer interaction; Microphone arrays; Microprocessors; Pervasive computing; Reverberation; Speech; Algorithms; Artificial Intelligence; Biomimetics; Humans; Male; Models, Statistical; Sound Localization; Sound Spectrography;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2004.826398
Filename :
1298899
Link To Document :
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