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A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1928/13093

A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception

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Title: A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception
Author: Hjelm, Rex Devon
Advisor(s): Luger, George
Committee Member(s): Morford, Jill
Caudell, Thomas
Department: University of New Mexico. Dept. of Linguistics
Subject: Phoneme Perception Neural Networks Pattern Recognition
LC Subject(s): Phonemic awareness
Phonetics, Acoustic
Speech perception
Neural networks (Neurobiology)
Pattern perception
Degree Level: Masters
Abstract: This paper explores the applicability of Adaptive Resistance Theory- (ART-) type neural networks for finding and encoding linguistic structures, specifically those corresponding to acoustic patterns in natural speech. We build an interpretation of human perceptual response to acoustic pattern in natural speech, translating this to a neural architecture as a model of acquisition, storage, and classification of acoustic speech patterns.
Graduation Date: July 2011
URI: http://hdl.handle.net/1928/13093


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