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Estimating the location of a sound source with a spike-timing localization algorithm


Finger, H; Liu, S C (2011). Estimating the location of a sound source with a spike-timing localization algorithm. In: IEEE International Symposium on Circuits and Systems (ISCAS) 2011, Rio de Janeiro, Brazil, 15 May 2011 - 18 May 2011, 2461-2464.

Abstract

A binaural spike-based sound localization system suitable for real-time attention systems of robots is presented in this work. This system uses the output spikes from a 64-channel binaural silicon cochlea. The localization algorithm implements a spike-based correlation of these output spikes that measures the interaural time differences (ITDs) between the arrival of a sound to two microphones. The algorithm continuously updates a possible distribution of ITDs in the auditory scene whenever a spike arrives from either ear of the cochlea. Experimental results show that the system can estimate an azimuth angle to below 1 deg resolution. This algorithm is computationally cheaper than conventional generalized cross-correlation methods and is quicker to respond to changes in the scene.

A binaural spike-based sound localization system suitable for real-time attention systems of robots is presented in this work. This system uses the output spikes from a 64-channel binaural silicon cochlea. The localization algorithm implements a spike-based correlation of these output spikes that measures the interaural time differences (ITDs) between the arrival of a sound to two microphones. The algorithm continuously updates a possible distribution of ITDs in the auditory scene whenever a spike arrives from either ear of the cochlea. Experimental results show that the system can estimate an azimuth angle to below 1 deg resolution. This algorithm is computationally cheaper than conventional generalized cross-correlation methods and is quicker to respond to changes in the scene.

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10 citations in Web of Science®
8 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Language:English
Event End Date:18 May 2011
Deposited On:09 Mar 2012 14:29
Last Modified:05 Apr 2016 15:43
Publisher:IEEE
Series Name:IEEE International Symposium on Circuits and Systems proceedings
Number of Pages:3
ISSN:0271-4302
ISBN:978-1-424-49473-6
Publisher DOI:10.1109/ISCAS.2011.5938102
Permanent URL: http://doi.org/10.5167/uzh-60764

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