NDLI: Auditory representations of speech sounds in a neural model: the role of peripheral processing

Content Provider	IEEE Xplore Digital Library
Author	Damper, R.I.
Copyright Year	1998
Description	Author affiliation: Dept. of Electron. & Comput. Sci., Southampton Univ., UK (Damper, R.I.)
Abstract	The categorization of speech sounds by the auditory system has been a subject of intense attention. In the author's previous work it has been established that a two-stage computational model can mimic important aspects of the speech categorization behavior of human and animal listeners. The first stage employs a biologically motivated 'front-end' for modeling the peripheral auditory system, and the second stage is a trainable artificial neural network 'back-end' for modeling more central processes. The behavior is emergent in that it was not explicitly programmed into the model. A software model can be interrogated to find out the contribution of its component parts to the overall behavior. Replacing the auditory front-end by a more prosaic fast Fourier transform analyzer allows one to focus on the contribution of the acoustic in auditory transformation to categorization. We find that the front-end processor is not essential to category formation but plays an important part in the boundary-movement phenomenon, by emphasizing important time frequency of the speech signal.
Starting Page	2196
Ending Page	2201
File Size	704301
Page Count	6
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.687201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Biological system modeling Auditory system Biology computing Computational modeling Humans Animals Artificial neural networks Fast Fourier transforms Time frequency analysis
Content Type	Text
Resource Type	Article

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