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