{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81127"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81127","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Models of Human Phone Transcription in Noise Based on Intelligibility Predictors","abstract":"The key findings of the experiments are the following: (1) the Articulation Index model recognition accuracy works very well in some phonetic contexts and fails in others, (2) the Articulation Index model is the average of a number of more specific models with their own parameters, (3) audibility of speech does not explain all variation but explains a great deal of it, and (4) phonetic importance is not spread uniformly over the time and frequency. We speculate that humans may use different representations of speech, depending on the phonetic context, and we suggest experiments controlling frequency-band specific signal-to-noise ratio and level to resolve these issues.","abstract_html":"The key findings of the experiments are the following: (1) the Articulation Index model recognition accuracy works very well in some phonetic contexts and fails in others, (2) the Articulation Index model is the average of a number of more specific models with their own parameters, (3) audibility of speech does not explain all variation but explains a great deal of it, and (4) phonetic importance is not spread uniformly over the time and frequency. We speculate that humans may use different representations of speech, depending on the phonetic context, and we suggest experiments controlling frequency-band specific signal-to-noise ratio and level to resolve these issues.","abstract_has_math":false,"creators":["Lobdell, Bryce E."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":["Hasegawa-Johnson, Mark A."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:09:41Z","date_published":"2015-09-25T20:09:41Z","updated_at":"2026-07-22T22:26:15Z","subjects":["Speech Communication"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3363022"],"render_values":[{"text":"(MiAaPQ)AAI3363022","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81127","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Hasegawa-Johnson, Mark A."]},{"key":"dc:creator","label":"Author","values":["Lobdell, Bryce E."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:09:41Z","10000-01-01","2009"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Speech Communication"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/81127","(MiAaPQ)AAI3363022"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The key findings of the experiments are the following: (1) the Articulation Index model recognition accuracy works very well in some phonetic contexts and fails in others, (2) the Articulation Index model is the average of a number of more specific models with their own parameters, (3) audibility of speech does not explain all variation but explains a great deal of it, and (4) phonetic importance is not spread uniformly over the time and frequency. We speculate that humans may use different representations of speech, depending on the phonetic context, and we suggest experiments controlling frequency-band specific signal-to-noise ratio and level to resolve these issues.","Made available in DSpace on 2015-09-25T20:09:41Z (GMT). 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We speculate that humans may use different representations of speech, depending on the phonetic context, and we suggest experiments controlling frequency-band specific signal-to-noise ratio and level to resolve these issues.","Made available in DSpace on 2015-09-25T20:09:41Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3363022.pdf: 8260631 bytes, checksum: c0eabe81e36b2ad4fb704e142c6b098b (MD5) Previous issue date: 2009","Embargo set by: Seth Robbins for item 82409 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","U of I Only","174 p.","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009."],"dc:identifier":["http://hdl.handle.net/2142/81127","(MiAaPQ)AAI3363022"],"dc:language":["eng"],"dc:subject":["Speech Communication"],"dc:title":["Models of Human Phone Transcription in Noise Based on Intelligibility Predictors"],"dc:type":["text"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:15Z"}