DocumentCode :
2873823
Title :
Binaural Sound Localization Based on Detection of Multi-band Zero-Crossing Points
Author :
Li Cong-qing ; Dai Shi-jie ; Wu Fang ; Huang He ; Sun Li-xin ; Sun Li-ying
Author_Institution :
Sch. of Mech. Eng., Hebei Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
1-3 Nov. 2009
Firstpage :
393
Lastpage :
396
Abstract :
A method of binaural sound localization based on detection of multi-band zero-crossing points generated from binaural filter-band outputs is presented. In the presented method, the ITD values are estimated by a histogram weighted by the estimated source noise rate(SNR) computed from the variances of ITD samples. As a result, the method provides an accurate estimate of sound source direction and is more robust to noise. To verify the validity of the method, simulations for sound localization are performed under the condition of white noise. The simulation results show that the method is able to provide an accurate estimate of sound source direction and is more robust to noise while offering significantly less computational complexity compared to the conventional cross-correlation based methods.
Keywords :
acoustic signal processing; computational complexity; correlation methods; filtering theory; white noise; ITD values; binaural filter-band outputs; binaural sound localization; computational complexity; cross-correlation based methods; estimated source noise rate; interaural time differences; multiband zero-crossing points detection; white noise; Acoustic noise; Computational complexity; Computational modeling; Frequency; Humans; Intelligent networks; Noise robustness; Signal to noise ratio; Sun; Working environment noise; multi-band; sound source localization; zero-crossing points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-5557-7
Electronic_ISBN :
978-0-7695-3852-5
Type :
conf
DOI :
10.1109/ICINIS.2009.107
Filename :
5366827
Link To Document :
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