{"id":"https://openalex.org/W2572179590","doi":"https://doi.org/10.1109/apsipa.2016.7820800","title":"Multi-lingual and multi-task DNN learning for articulatory error detection","display_name":"Multi-lingual and multi-task DNN learning for articulatory error detection","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2572179590","doi":"https://doi.org/10.1109/apsipa.2016.7820800","mag":"2572179590"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masatake Dantsuji","raw_affiliation_strings":["Kyoto Daigaku, Kyoto, JP"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto Daigaku, Kyoto, JP","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052176517","display_name":"Jinsong Zhang","orcid":"https://orcid.org/0000-0002-1603-3136"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Zhang","raw_affiliation_strings":["School of Information Science, Beijing Language and Culture University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, Beijing Language and Culture University, China","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9955000281333923,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9941999912261963,"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":0.9797999858856201,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.8514580726623535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8455123901367188},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7005050182342529},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.6369445323944092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6006861925125122},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5654304623603821},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47757914662361145},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4762544631958008},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43517377972602844},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4337931275367737},{"id":"https://openalex.org/keywords/place-of-articulation","display_name":"Place of articulation","score":0.42986124753952026},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0973796546459198},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.09655091166496277},{"id":"https://openalex.org/keywords/consonant","display_name":"Consonant","score":0.0946759283542633}],"concepts":[{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.8514580726623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8455123901367188},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7005050182342529},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.6369445323944092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6006861925125122},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5654304623603821},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47757914662361145},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4762544631958008},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43517377972602844},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4337931275367737},{"id":"https://openalex.org/C36933642","wikidata":"https://www.wikidata.org/wiki/Q214090","display_name":"Place of articulation","level":4,"score":0.42986124753952026},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0973796546459198},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.09655091166496277},{"id":"https://openalex.org/C2778203577","wikidata":"https://www.wikidata.org/wiki/Q38035","display_name":"Consonant","level":3,"score":0.0946759283542633},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipa.2016.7820800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"},{"id":"mag:2743499314","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702218163864787","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W287073639","https://openalex.org/W1997057707","https://openalex.org/W2023389730","https://openalex.org/W2091856355","https://openalex.org/W2119607964","https://openalex.org/W2344475019","https://openalex.org/W2360441417","https://openalex.org/W2394589087","https://openalex.org/W4285719527","https://openalex.org/W6656299101","https://openalex.org/W6704542937","https://openalex.org/W6711883690"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2081647779","https://openalex.org/W3095538999","https://openalex.org/W2961085424","https://openalex.org/W2597787948","https://openalex.org/W1812322370","https://openalex.org/W2784094750","https://openalex.org/W3047894882","https://openalex.org/W3208584567","https://openalex.org/W3200098538"],"abstract_inverted_index":{"For":[0],"effective":[1],"pronunciation":[2,91,115],"error":[3,116],"detection":[4,117],"for":[5,23,118],"second":[6],"language":[7,66,71],"learners,":[8],"we":[9,52],"address":[10],"articulatory":[11],"models":[12,35],"based":[13],"on":[14],"deep":[15],"neural":[16],"network":[17],"(DNN).":[18],"Articulatory":[19],"attributes":[20],"are":[21,76,86,105],"defined":[22],"manner":[24],"and":[25,68,101,114],"place":[26],"of":[27,36,63,73,98,111],"articulation.":[28],"In":[29],"order":[30],"to":[31,46,88],"efficiently":[32],"train":[33],"these":[34],"non-native":[37,119],"speech":[38,61,113],"without":[39],"using":[40],"such":[41],"data,":[42],"which":[43,59],"is":[44],"difficult":[45],"collect":[47],"in":[48,58,107],"a":[49,54],"large":[50],"scale,":[51],"propose":[53],"multi-lingual":[55,100],"learning":[56,82,92,103],"method,":[57],"the":[60,64,69,74,99,108],"database":[62],"target":[65],"(L2)":[67],"native":[70,95,112],"(L1)":[72],"learners":[75],"combined.":[77],"We":[78],"also":[79],"investigate":[80],"multi-task":[81,102],"methods.":[83],"These":[84],"methods":[85,104],"applied":[87],"Mandarin":[89],"Chinese":[90],"by":[93],"Japanese":[94],"speakers.":[96],"Effects":[97],"demonstrated":[106],"attribute":[109],"classification":[110],"speech.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"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"}