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. ©2010 IEEE.
Recommended Citation
S. C. Liu et al., "The Use Of Spike-based Representations For Hardware Audition Systems," Iscas 2010 2010 IEEE International Symposium on Circuits and Systems Nano Bio Circuit Fabrics and Systems, pp. 505 - 508, article no. 5537588, Institute of Electrical and Electronics Engineers, Aug 2010.
The definitive version is available at https://doi.org/10.1109/ISCAS.2010.5537588
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
AER; Audition; Neuromorphic; Spike-based
International Standard Book Number (ISBN)
978-142445308-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
31 Aug 2010
