{"id":{"repo_id":"unm","oai_identifier":"oai:digitalrepository.unm.edu:ling_etds-1016"},"canonical_url":"https://search.dev.ndltd.org/etd/unm/oai:digitalrepository.unm.edu:ling_etds-1016","repository":{"repo_id":"unm","name":"University of New Mexico","base_url":"https://digitalrepository.unm.edu/do/oai/"},"display":{"title":"A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Hjelm, Rex Devon"],"institution":null,"degree_name":"Linguistics","degree_level":"Thesis","degree_discipline":"Department of Linguistics","degree_department":null,"school":null,"contributors":["Luger, George","Morford, Jill","Caudell, Thomas"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-07-01T07:00:00Z","date_published":"2011-07-01T07:00:00Z","updated_at":"2026-07-24T05:25:53Z","subjects":["Phoneme Perception Neural Networks Pattern Recognition"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalrepository.unm.edu/ling_etds/17","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Luger, George","Morford, Jill","Caudell, Thomas"]},{"key":"dc:creator","label":"Author","values":["Hjelm, Rex Devon"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Department of Linguistics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis","Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Linguistics"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Phoneme Perception Neural Networks Pattern Recognition"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalrepository.unm.edu/ling_etds/17"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception"]}]}],"canonical_facts":{"dc:contributor":["Luger, George","Morford, Jill","Caudell, Thomas"],"dc:creator":["Hjelm, Rex Devon"],"dc:description.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."],"dc:identifier":["https://digitalrepository.unm.edu/ling_etds/17"],"dc:language":["English"],"dc:subject":["Phoneme Perception Neural Networks Pattern Recognition"],"dc:title":["A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception"],"thesis:degree_discipline":["Department of Linguistics"],"thesis:degree_level":["Thesis","Masters"],"thesis:degree_name":["Linguistics"]},"updated_at":"2026-07-24T05:25:53Z"}