{"id":"https://openalex.org/W2892295455","doi":"https://doi.org/10.1109/icassp.2018.8461830","title":"Efficient Learning of Articulatory Models Based on Multi-Label Training and Label Correction for Pronunciation Learning","display_name":"Efficient Learning of Articulatory Models Based on Multi-Label Training and Label Correction for Pronunciation Learning","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2892295455","doi":"https://doi.org/10.1109/icassp.2018.8461830","mag":"2892295455"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062004816","display_name":"Richeng Duan","orcid":"https://orcid.org/0000-0001-7927-2444"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Richeng Duan","raw_affiliation_strings":["School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038044080","display_name":"Tatsuya Kawahara","orcid":"https://orcid.org/0000-0002-2686-2296"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya Kawahara","raw_affiliation_strings":["School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Kyoto University, Sakyo-ku, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086753922","display_name":"Masatake Dantsuji","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masatake Dantsuji","raw_affiliation_strings":["Academic Center for Computing and Media Studies, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic Center for Computing and Media Studies, Kyoto University, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103737191","display_name":"Hiroaki Nanjo","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroaki Nanjo","raw_affiliation_strings":["Academic Center for Computing and Media Studies, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academic Center for Computing and Media Studies, Kyoto University, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"6239","last_page":"6243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.994700014591217,"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":0.994700014591217,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.9059416055679321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492311000823975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5285500288009644},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.49826526641845703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4740305244922638},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43986740708351135},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.43720483779907227},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4247649908065796},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10060089826583862}],"concepts":[{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.9059416055679321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492311000823975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285500288009644},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.49826526641845703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4740305244922638},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43986740708351135},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.43720483779907227},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4247649908065796},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10060089826583862},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W11987892","https://openalex.org/W103312509","https://openalex.org/W748644320","https://openalex.org/W1499800345","https://openalex.org/W1580606264","https://openalex.org/W1945090009","https://openalex.org/W1997057707","https://openalex.org/W2024490156","https://openalex.org/W2027993708","https://openalex.org/W2032069772","https://openalex.org/W2055115647","https://openalex.org/W2091856355","https://openalex.org/W2119607964","https://openalex.org/W2134124280","https://openalex.org/W2137469438","https://openalex.org/W2139008940","https://openalex.org/W2370418772","https://openalex.org/W2394589087","https://openalex.org/W2399792130","https://openalex.org/W2401896499","https://openalex.org/W2403033074","https://openalex.org/W2406502879","https://openalex.org/W2557978073","https://openalex.org/W2561373239","https://openalex.org/W2663878505","https://openalex.org/W2770494505","https://openalex.org/W6600509651","https://openalex.org/W6622123219","https://openalex.org/W6629654537","https://openalex.org/W6634953701","https://openalex.org/W6640608080","https://openalex.org/W6657812539","https://openalex.org/W6680263073","https://openalex.org/W6708347527","https://openalex.org/W6711883690","https://openalex.org/W6712949300","https://openalex.org/W6713033232","https://openalex.org/W6713505222","https://openalex.org/W6714151304","https://openalex.org/W6730816769","https://openalex.org/W6739831097","https://openalex.org/W7011707065"],"related_works":["https://openalex.org/W2183593636","https://openalex.org/W2350724007","https://openalex.org/W2355751417","https://openalex.org/W2423284978","https://openalex.org/W2083922162","https://openalex.org/W2000075989","https://openalex.org/W4220683390","https://openalex.org/W2776838583","https://openalex.org/W2359469050","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Articulatory":[0],"feedback":[1],"is":[2],"effective":[3,48],"for":[4,17],"computer-assisted":[5],"pronunciation":[6,64],"training":[7,49],"(CAPT)":[8],"systems.":[9],"This":[10],"paper":[11],"investigates":[12],"efficient":[13],"model":[14],"learning":[15,36],"methods":[16,55,79],"providing":[18],"articulatory":[19,28,89],"information":[20],"to":[21],"language":[22],"learners.":[23],"We":[24],"first":[25],"propose":[26],"an":[27],"attribute":[29,62],"modeling":[30],"method":[31],"based":[32,88],"on":[33],"a":[34,45],"multi-label":[35],"scheme.":[37],"Then,":[38],"the":[39,82],"models":[40],"are":[41,56],"further":[42],"enhanced":[43],"with":[44],"simple":[46],"and":[47,70],"label":[50],"correction":[51],"method.":[52],"These":[53],"proposed":[54,78],"evaluated":[57],"in":[58],"three":[59],"tasks:":[60],"native":[61],"recognition,":[63],"error":[65],"detection":[66],"of":[67],"non-native":[68,71],"speech,":[69],"speech":[72],"recognition.":[73],"Experimental":[74],"results":[75],"show":[76],"that":[77],"significantly":[80],"improve":[81],"conventional":[83],"deep":[84],"neural":[85],"network":[86],"(DNN)":[87],"models.":[90]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}