DocumentCode :
1749222
Title :
Model and application of a binaural 360° sound localization system
Author :
Schauer, C. ; Gross, H.-M.
Author_Institution :
Dept. of Neuroinf., Tech. Hochschule Ilmenau, Germany
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1132
Abstract :
We introduce a biologically inspired sound localization system, based on an open two-microphone configuration. Its purpose is to perform a robust, 360-degree detection of objects, in particular humans, in the horizontal plane. In our approach, we consider neurophysiological findings to discuss the biological plausibility of the coding and extraction of spatial features, but also meet the demands and constraints of a practical application in the field of human-robot interaction. We process interaural time differences for the left/right detection and spectrum-based features to discriminate between, in front and behind. Tests in real environments are used to demonstrate the function and the application of the system. We briefly touch the point of handling different acoustic room characteristics and give reasons why the proposed model can show advantages over conventional correlation methods
Keywords :
filtering theory; hearing; microphones; neurophysiology; object detection; physiological models; robots; acoustic room characteristics; binaural 360° sound localization system; biological plausibility; biologically inspired sound localization system; human-robot interaction; interaural time differences; neurophysiological findings; open two-microphone configuration; robust 360-degree detection; spatial features coding; spatial features extraction; spectrum-based features; Acoustic signal detection; Acoustic testing; Biological system modeling; Computer vision; Correlation; Feature extraction; Humans; Object detection; Robustness; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
ISSN :
1098-7576
Print_ISBN :
0-7803-7044-9
Type :
conf
DOI :
10.1109/IJCNN.2001.939520
Filename :
939520
Link To Document :
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