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The Use of Spike-Based Representations for Hardware Audition Systems


Liu, S C; Mesgarani, N; Harris, J; Hermansky, H (2010). The Use of Spike-Based Representations for Hardware Audition Systems. In: Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium, Paris, France, 30 May 2010 - 2 June 2010, 505-508.

Abstract

Humans are able to process speech and other sounds effectively in adverse environments, hearing through noise, reverberation, and interference from other speakers. To date, machines have been unable to match human performance. One profound difference between biological and engineering systems comes at the input stage. In machines, an acoustic signal is typically chopped into short equally spaced segments in time. In biological systems, the cochlea outputs asynchronous spikes that respond in real-time to acoustic inputs. In this paper we describe a spiking cochlea implementation and recent experiments in both speaker and speech recognition that use spikes as input.

Abstract

Humans are able to process speech and other sounds effectively in adverse environments, hearing through noise, reverberation, and interference from other speakers. To date, machines have been unable to match human performance. One profound difference between biological and engineering systems comes at the input stage. In machines, an acoustic signal is typically chopped into short equally spaced segments in time. In biological systems, the cochlea outputs asynchronous spikes that respond in real-time to acoustic inputs. In this paper we describe a spiking cochlea implementation and recent experiments in both speaker and speech recognition that use spikes as input.

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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:2 June 2010
Deposited On:02 Mar 2011 15:07
Last Modified:12 Sep 2017 07:01
Publisher:IEEE
Number of Pages:3
ISBN:978-1-424-45308-5
Publisher DOI:https://doi.org/10.1109/ISCAS.2010.5537588

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