DocumentCode :
285074
Title :
Automated sound localization through adaptation
Author :
Yuhas, B.P.
Author_Institution :
Bellcore MRE, Morristown, NJ
Volume :
2
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
907
Abstract :
The author examines how well some proposed localization models are able to locate speech stimuli on the azimuth. Working with recordings obtained using a manikin in a modestly reverberant conference room, a variety of existing models in software are evaluated and their results are compared. A model is then proposed, which uses the natural time delays of the cochlea combined with adaptation to obtain instantaneous estimates of position. A system for binaural localization is proposed and its performance is compared to existing models of auditory localization and to methods of direct calculation
Keywords :
hearing; neural nets; physiological models; auditory localisation models; automated sound localisation; binaural localization; cochlea; neural nets; time delays; Azimuth; Biological system modeling; Delay effects; Delay estimation; Ear; Filters; Frequency; Psychoacoustic models; Signal processing; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.226872
Filename :
226872
Link To Document :
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