{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115607"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115607","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Cross-lingual articulation information transfer with progressive networks for speech recognition","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","abstract_has_math":false,"creators":["Morshed, Mahir"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Hasegawa-Johnson, Mark A"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:54Z","subjects":["articulatory feature detection","transfer learning","progressive neural networks"],"languages":["en","eng"],"rights":["Copyright 2022 Mahir Morshed"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115607","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":["Morshed, Mahir"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-29"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["articulatory feature detection","transfer learning","progressive neural networks"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Mahir Morshed"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115607"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Mahir Morshed, accepted the attached license on 2022-04-23 at 21:51.","The student, Mahir Morshed, submitted this Thesis for approval on 2022-04-23 at 21:59.","This Thesis was approved for publication on 2022-04-29 at 08:31.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17941 on 2022-11-11 at 12:12:02","A system for the lateral transfer of information from recurrent end-to-end neural networks recognizing articulatory feature classes to similarly structured networks recognizing phone tokens is proposed. The system uses connections between recurrent layers at the same depth between feature detectors pre-trained on a base language and a phone recognizer for different target languages, inspired primarily by the progressive neural network scheme. While initial experiments using detectors for four articulatory feature classes—consonant place, consonant manner, vowel height, and vowel backness—trained on Bengali speech, attached to phone recognizers for four other Asian languages (Javanese, Nepali, Sinhalese, Sundanese), do not currently suggest consistent performance improvements across different low-resource settings for target languages, irrespective of their genealogic or phonological relatedness to Bengali, they do suggest the need for further trials with different language sets, altered data sources and data configurations, and slightly altered network setups."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Cross-lingual articulation information transfer with progressive networks for speech recognition"]}]}],"canonical_facts":{"dc:contributor":["Hasegawa-Johnson, Mark A"],"dc:creator":["Morshed, Mahir"],"dc:date":["2022-05","2022-04-29"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Mahir Morshed, accepted the attached license on 2022-04-23 at 21:51.","The student, Mahir Morshed, submitted this Thesis for approval on 2022-04-23 at 21:59.","This Thesis was approved for publication on 2022-04-29 at 08:31.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17941 on 2022-11-11 at 12:12:02","A system for the lateral transfer of information from recurrent end-to-end neural networks recognizing articulatory feature classes to similarly structured networks recognizing phone tokens is proposed. The system uses connections between recurrent layers at the same depth between feature detectors pre-trained on a base language and a phone recognizer for different target languages, inspired primarily by the progressive neural network scheme. While initial experiments using detectors for four articulatory feature classes—consonant place, consonant manner, vowel height, and vowel backness—trained on Bengali speech, attached to phone recognizers for four other Asian languages (Javanese, Nepali, Sinhalese, Sundanese), do not currently suggest consistent performance improvements across different low-resource settings for target languages, irrespective of their genealogic or phonological relatedness to Bengali, they do suggest the need for further trials with different language sets, altered data sources and data configurations, and slightly altered network setups."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115607"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Mahir Morshed"],"dc:subject":["articulatory feature detection","transfer learning","progressive neural networks"],"dc:title":["Cross-lingual articulation information transfer with progressive networks for speech recognition"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}