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Adaptive Sound Localization with a Silicon Cochlea Pair
A neuromorphic sound localization system is presented. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. The system is based the extraction of interaural time difference from a far-field source. At each frequency channel, a soft-winner-t...
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998867/ https://www.ncbi.nlm.nih.gov/pubmed/21152257 http://dx.doi.org/10.3389/fnins.2010.00196 |
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author | Chan, Vincent Yue-Sek Jin, Craig T. van Schaik, André |
author_facet | Chan, Vincent Yue-Sek Jin, Craig T. van Schaik, André |
author_sort | Chan, Vincent Yue-Sek |
collection | PubMed |
description | A neuromorphic sound localization system is presented. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. The system is based the extraction of interaural time difference from a far-field source. At each frequency channel, a soft-winner-takes-all network is used to preserve timing information before it is processed by a simple neural network to estimate auditory activity at all bearing positions. The estimates are then combined across channels to produce the final estimate. The proposed algorithm is adaptive and supports online learning, enabling the system to compensate for circuit mismatch and environmental changes. Its localization capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the −45° to 45° range. |
format | Text |
id | pubmed-2998867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-29988672010-12-09 Adaptive Sound Localization with a Silicon Cochlea Pair Chan, Vincent Yue-Sek Jin, Craig T. van Schaik, André Front Neurosci Neuroscience A neuromorphic sound localization system is presented. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. The system is based the extraction of interaural time difference from a far-field source. At each frequency channel, a soft-winner-takes-all network is used to preserve timing information before it is processed by a simple neural network to estimate auditory activity at all bearing positions. The estimates are then combined across channels to produce the final estimate. The proposed algorithm is adaptive and supports online learning, enabling the system to compensate for circuit mismatch and environmental changes. Its localization capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the −45° to 45° range. Frontiers Research Foundation 2010-11-29 /pmc/articles/PMC2998867/ /pubmed/21152257 http://dx.doi.org/10.3389/fnins.2010.00196 Text en Copyright © 2010 Chan, Jin and van Schaik. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Chan, Vincent Yue-Sek Jin, Craig T. van Schaik, André Adaptive Sound Localization with a Silicon Cochlea Pair |
title | Adaptive Sound Localization with a Silicon Cochlea Pair |
title_full | Adaptive Sound Localization with a Silicon Cochlea Pair |
title_fullStr | Adaptive Sound Localization with a Silicon Cochlea Pair |
title_full_unstemmed | Adaptive Sound Localization with a Silicon Cochlea Pair |
title_short | Adaptive Sound Localization with a Silicon Cochlea Pair |
title_sort | adaptive sound localization with a silicon cochlea pair |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998867/ https://www.ncbi.nlm.nih.gov/pubmed/21152257 http://dx.doi.org/10.3389/fnins.2010.00196 |
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