{"id":"https://openalex.org/W4226443384","doi":"https://doi.org/10.1109/access.2022.3166922","title":"Estimating Underlying Articulatory Targets of Thai Vowels by Using Deep Learning Based on Generating Synthetic Samples From a 3D Vocal Tract Model and Data Augmentation","display_name":"Estimating Underlying Articulatory Targets of Thai Vowels by Using Deep Learning Based on Generating Synthetic Samples From a 3D Vocal Tract Model and Data Augmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226443384","doi":"https://doi.org/10.1109/access.2022.3166922"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3166922","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3166922","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09755932.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09755932.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076531368","display_name":"Thanat Lapthawan","orcid":"https://orcid.org/0000-0002-9820-1980"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanat Lapthawan","raw_affiliation_strings":["Department of Computer Engineering, King Mongkut\u2019s University of Technology Thonburi, Bangkok, Thailand","Department of Computer Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-9820-1980","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, King Mongkut\u2019s University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]},{"raw_affiliation_string":"Department of Computer Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003455071","display_name":"Santitham Prom\u2013on","orcid":"https://orcid.org/0000-0002-0869-089X"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Santitham Prom-On","raw_affiliation_strings":["Department of Computer Engineering, King Mongkut\u2019s University of Technology Thonburi, Bangkok, Thailand","Department of Computer Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-0869-089X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, King Mongkut\u2019s University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]},{"raw_affiliation_string":"Department of Computer Engineering, King Mongkut's University of Technology Thonburi, Bangkok, Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046141664","display_name":"Peter Birkholz","orcid":"https://orcid.org/0000-0003-0167-8123"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Birkholz","raw_affiliation_strings":["Institute of Acoustics and Speech Communication, TU Dresden, Dresden, Germany"],"raw_orcid":"https://orcid.org/0000-0003-0167-8123","affiliations":[{"raw_affiliation_string":"Institute of Acoustics and Speech Communication, TU Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049702508","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0002-8541-2658"},"institutions":[{"id":"https://openalex.org/I4210107233","display_name":"Language Science (South Korea)","ror":"https://ror.org/01h9v1373","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210107233"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["Division of Psychology & Language Sciences, University College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8541-2658","affiliations":[{"raw_affiliation_string":"Division of Psychology & Language Sciences, University College London, London, U.K","institution_ids":["https://openalex.org/I4210107233","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.58,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70801674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"41489","last_page":"41502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.7411472797393799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7399808168411255},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6984606385231018},{"id":"https://openalex.org/keywords/articulation","display_name":"Articulation (sociology)","score":0.6793286800384521},{"id":"https://openalex.org/keywords/manner-of-articulation","display_name":"Manner of articulation","score":0.5294960141181946},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5145120620727539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4932214617729187},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.4631371796131134},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4438520669937134},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4141704738140106}],"concepts":[{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.7411472797393799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399808168411255},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6984606385231018},{"id":"https://openalex.org/C2779337067","wikidata":"https://www.wikidata.org/wiki/Q4800961","display_name":"Articulation (sociology)","level":3,"score":0.6793286800384521},{"id":"https://openalex.org/C66029223","wikidata":"https://www.wikidata.org/wiki/Q210847","display_name":"Manner of articulation","level":2,"score":0.5294960141181946},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5145120620727539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4932214617729187},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.4631371796131134},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4438520669937134},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4141704738140106},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3166922","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3166922","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09755932.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8a31e64fc52b4e6499020ae89d54983a","is_oa":true,"landing_page_url":"https://doaj.org/article/8a31e64fc52b4e6499020ae89d54983a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 41489-41502 (2022)","raw_type":"article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10148252","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10148252/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access , 10 pp. 41489-41502. (2022)","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3166922","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3166922","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09755932.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1297994486","display_name":null,"funder_award_id":"RPG-2019-241","funder_id":"https://openalex.org/F4320319993","funder_display_name":"Leverhulme Trust"}],"funders":[{"id":"https://openalex.org/F4320319993","display_name":"Leverhulme Trust","ror":"https://ror.org/012mzw131"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226443384.pdf","grobid_xml":"https://content.openalex.org/works/W4226443384.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W35292311","https://openalex.org/W46785905","https://openalex.org/W82670698","https://openalex.org/W201148316","https://openalex.org/W1499220978","https://openalex.org/W1499800345","https://openalex.org/W1522301498","https://openalex.org/W1531956331","https://openalex.org/W1595178389","https://openalex.org/W1677182931","https://openalex.org/W1788348338","https://openalex.org/W1875231349","https://openalex.org/W1963854000","https://openalex.org/W1965378753","https://openalex.org/W1977591085","https://openalex.org/W1995118599","https://openalex.org/W2002620567","https://openalex.org/W2026149420","https://openalex.org/W2034829178","https://openalex.org/W2034978228","https://openalex.org/W2064675550","https://openalex.org/W2066561607","https://openalex.org/W2069618035","https://openalex.org/W2095072163","https://openalex.org/W2095705004","https://openalex.org/W2099621636","https://openalex.org/W2110095567","https://openalex.org/W2111701360","https://openalex.org/W2118511662","https://openalex.org/W2123778414","https://openalex.org/W2131774270","https://openalex.org/W2135707066","https://openalex.org/W2137983211","https://openalex.org/W2143877646","https://openalex.org/W2148154194","https://openalex.org/W2148228080","https://openalex.org/W2156983866","https://openalex.org/W2162537223","https://openalex.org/W2163680580","https://openalex.org/W2168510624","https://openalex.org/W2172028426","https://openalex.org/W2184237483","https://openalex.org/W2191779130","https://openalex.org/W2327501763","https://openalex.org/W2402610474","https://openalex.org/W2407080277","https://openalex.org/W2596135543","https://openalex.org/W2748883834","https://openalex.org/W2752143737","https://openalex.org/W2786672974","https://openalex.org/W2787248829","https://openalex.org/W2919115771","https://openalex.org/W2936774411","https://openalex.org/W2940009604","https://openalex.org/W2953184570","https://openalex.org/W2954540134","https://openalex.org/W2972537746","https://openalex.org/W2989691072","https://openalex.org/W3008480565","https://openalex.org/W3015889230","https://openalex.org/W3027869639","https://openalex.org/W3216139160","https://openalex.org/W4206319965","https://openalex.org/W4253120335","https://openalex.org/W4385245566","https://openalex.org/W6601426873","https://openalex.org/W6608180490","https://openalex.org/W6631190155","https://openalex.org/W6639350448","https://openalex.org/W6674330103","https://openalex.org/W6675409298","https://openalex.org/W6678166944","https://openalex.org/W6685662889","https://openalex.org/W6735255722","https://openalex.org/W6739901393","https://openalex.org/W6748816842","https://openalex.org/W6765696844","https://openalex.org/W6777941750"],"related_works":["https://openalex.org/W2022221551","https://openalex.org/W2020989338","https://openalex.org/W1823617068","https://openalex.org/W2147126679","https://openalex.org/W4300049944","https://openalex.org/W1552694876","https://openalex.org/W1037709911","https://openalex.org/W2115039802","https://openalex.org/W2063579271","https://openalex.org/W2891508361"],"abstract_inverted_index":{"Representation":[0],"learning":[1,23,76],"is":[2],"one":[3],"of":[4,48,89,140,188],"the":[5,70,86,90,96,101,106,117,137,144,148,165,178],"fundamental":[6],"issues":[7],"in":[8,131,164],"modeling":[9],"articulatory-based":[10],"speech":[11,31,141,150,183],"synthesis":[12,32],"using":[13,34],"target-driven":[14],"models.":[15],"This":[16,93],"paper":[17],"proposes":[18],"a":[19,28,35,45,53,58,185],"computational":[20],"strategy":[21],"for":[22,69,78],"underlying":[24],"articulatory":[25,30,107],"targets":[26],"from":[27,56,143,147],"3D":[29],"model":[33,71,77,85,98,124,156,179],"bi-directional":[36],"long":[37],"short-term":[38],"memory":[39],"recurrent":[40],"neural":[41],"network":[42],"based":[43,119,127],"on":[44,120,128],"small":[46],"set":[47,55,61],"representative":[49],"seed":[50],"samples.":[51],"Using":[52],"seeding":[54],"VocalTractLab,":[57],"larger":[59],"training":[60],"was":[62,81,125],"generated":[63],"that":[64,177],"provided":[65],"richer":[66],"contextual":[67],"variations":[68],"to":[72,84,99,115,134],"learn.":[73],"The":[74,123,155,174],"deep":[75],"acoustic-to-target":[79],"mapping":[80,132],"then":[82,112],"trained":[83,97],"inverse":[87],"relation":[88],"articulation":[91,145],"process.":[92],"method":[94],"allows":[95],"map":[100],"given":[102],"acoustic":[103],"data":[104],"onto":[105],"target":[108],"parameters":[109],"which":[110],"can":[111,180],"be":[113],"used":[114],"identify":[116],"distribution":[118],"linguistic":[121],"contexts.":[122],"evaluated":[126],"its":[129],"effectiveness":[130],"acoustics":[133],"articulation,":[135],"and":[136],"perceptual":[138],"accuracy":[139,163],"reproduced":[142],"estimated":[146],"recorded":[149],"by":[151],"native":[152,171],"Thai":[153,172],"speakers.":[154,173],"achieved":[157],"more":[158],"than":[159],"80%":[160],"phoneme":[161],"classification":[162],"listening":[166],"test":[167],"conducted":[168],"with":[169,184],"25":[170],"results":[175],"indicate":[176],"accurately":[181],"imitate":[182],"high":[186],"degree":[187],"phonemic":[189],"precision.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
