DocumentCode :
2953283
Title :
Robotic Binaural and Monaural Information Fusion Using Bayesian Networks
Author :
Keyrouz, Fakheredine ; Diepold, Klaus ; Keyrouz, Shady
Author_Institution :
Tech. Univ. Munchen, Munich
fYear :
2007
fDate :
3-5 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
Auditory signal processing already starts outside the head. The external sound field has to couple into the ear canals. The relative positions of the two ear canals and the sound source lead to a coupling that is strongly depend on frequency. In this context not only the two pinnae but also the whole head have an important functional role, which is best described as a spatial filtering process. This linear filtering is usually quantified in terms of so-called head- related transfer functions, HRTFs, which can also be interpreted as the directivity characteristics of the two ears. In this work, the HRTF constitutes the cornerstone of a sound localization algorithm, which uses Bayesian information fusion to increase the localization resolution in a three-dimensional reverberant environment. The algorithm was tested in simulations as well as in a household environment. Compared to existing techniques, the method is able to localize, with higher accuracy, 3D sound sources under high reverberation conditions.
Keywords :
acoustic signal processing; belief networks; robots; sensor fusion; Bayesian information fusion; Bayesian networks; auditory signal processing; ear canals; head-related transfer functions; linear filtering; robotic binaural-monaural information fusion; sound localization algorithm; spatial filtering; Bayesian methods; Ear; Filtering; Frequency; Irrigation; Maximum likelihood detection; Nonlinear filters; Robots; Signal processing; Signal processing algorithms; Acoustic localization; Bayesian network; HRTF; binaural; monaural;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4244-0829-0
Electronic_ISBN :
978-1-4244-0830-6
Type :
conf
DOI :
10.1109/WISP.2007.4447624
Filename :
4447624
Link To Document :
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