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An event-driven probabilistic model of sound source localization using cochlea spikes


Anumula, Jithendar; Ceolini, Enea; He, Zhe; Huber, Adrian; Liu, Shih-Chii (2018). An event-driven probabilistic model of sound source localization using cochlea spikes. In: ISCAS 2018, Florence, 27 May 2018 - 30 May 2018. Institute of Electrical and Electronics Engineers, 1-5.

Abstract

This work presents a probabilistic model that estimates the location of sound sources using the output spikes of a silicon cochlea such as the Dynamic Audio Sensor. Unlike previous work which estimated the source locations directly from the interaural time differences (ITDs) extracted from the timing of the cochlea spikes, the spikes are used instead to support a distribution model of the ITDs representing possible locations of sound sources. Results on noisy single speaker recordings show average accuracies of approximately 80% on detecting the correct source locations and an estimation lag of <;100ms.

Abstract

This work presents a probabilistic model that estimates the location of sound sources using the output spikes of a silicon cochlea such as the Dynamic Audio Sensor. Unlike previous work which estimated the source locations directly from the interaural time differences (ITDs) extracted from the timing of the cochlea spikes, the spikes are used instead to support a distribution model of the ITDs representing possible locations of sound sources. Results on noisy single speaker recordings show average accuracies of approximately 80% on detecting the correct source locations and an estimation lag of <;100ms.

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Additional indexing

Item Type:Conference or Workshop Item (Speech), refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Neuroinformatics
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Electrical and Electronic Engineering
Language:English
Event End Date:30 May 2018
Deposited On:15 Feb 2019 14:49
Last Modified:26 Jan 2022 21:12
Publisher:Institute of Electrical and Electronics Engineers
Series Name:IEEE International Symposium on Circuits and Systems (ISCAS)
ISSN:2379-447X
Additional Information:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
OA Status:Green
Publisher DOI:https://doi.org/10.1109/ISCAS.2018.8351856

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