{"id":"https://openalex.org/W2598266208","doi":"https://doi.org/10.1109/ialp.2016.7875963","title":"Automatic discrimination system for Chinese bilabial aspirated and unaspirated sounds pronounced by Japanese students","display_name":"Automatic discrimination system for Chinese bilabial aspirated and unaspirated sounds pronounced by Japanese students","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2598266208","doi":"https://doi.org/10.1109/ialp.2016.7875963","mag":"2598266208"},"language":"en","primary_location":{"id":"doi:10.1109/ialp.2016.7875963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},"type":"article","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/A5112306596","display_name":"Akemi Hoshino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120810","display_name":"National Institute of Technology","ror":"https://ror.org/02xqkcw08","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810"]},{"id":"https://openalex.org/I2802083021","display_name":"Toyama College","ror":"https://ror.org/01w6k3w63","country_code":"JP","type":"education","lineage":["https://openalex.org/I2802083021"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akemi Hoshino","raw_affiliation_strings":["Toyama College, National Institute of Technology, Toyama, Japan"],"affiliations":[{"raw_affiliation_string":"Toyama College, National Institute of Technology, Toyama, Japan","institution_ids":["https://openalex.org/I2802083021","https://openalex.org/I4210120810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112306596"],"corresponding_institution_ids":["https://openalex.org/I2802083021","https://openalex.org/I4210120810"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12317725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"58","issue":null,"first_page":"180","last_page":"183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9811999797821045,"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":0.9811999797821045,"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":0.9452000260353088,"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/speech-recognition","display_name":"Speech recognition","score":0.7212821245193481},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.682111918926239},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.47544407844543457},{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.473747581243515},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.43389949202537537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42641115188598633},{"id":"https://openalex.org/keywords/voice-onset-time","display_name":"Voice-onset time","score":0.41842350363731384},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.38875558972358704},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3474423885345459},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.345354288816452},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09690150618553162}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7212821245193481},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.682111918926239},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.47544407844543457},{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.473747581243515},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.43389949202537537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42641115188598633},{"id":"https://openalex.org/C89051679","wikidata":"https://www.wikidata.org/wiki/Q627770","display_name":"Voice-onset time","level":3,"score":0.41842350363731384},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.38875558972358704},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3474423885345459},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.345354288816452},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09690150618553162},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ialp.2016.7875963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp.2016.7875963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"},{"id":"mag:2749993464","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702230453110938","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/10","score":0.6499999761581421,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W122087882","https://openalex.org/W1562705272","https://openalex.org/W1959041592","https://openalex.org/W2041323980","https://openalex.org/W2071601492","https://openalex.org/W2156199533","https://openalex.org/W4384454364","https://openalex.org/W6628787742","https://openalex.org/W6854584878"],"related_works":["https://openalex.org/W2028715205","https://openalex.org/W2344358524","https://openalex.org/W3042758298","https://openalex.org/W2053092242","https://openalex.org/W2060888333","https://openalex.org/W2028342517","https://openalex.org/W2050311283","https://openalex.org/W2942435052","https://openalex.org/W3169184738","https://openalex.org/W2007544974"],"abstract_inverted_index":{"Chinese":[0,100,139],"aspirates":[1],"are":[2],"usually":[3],"difficult":[4],"to":[5,38,109],"pronounce":[6],"for":[7,153],"Japanese":[8,126],"students":[9,37],"learning":[10],"Chinese.":[11],"In":[12],"particular,":[13],"discriminating":[14],"between":[15],"utterances":[16,123],"of":[17,42,52,77,93,113,124,137,144],"aspirated":[18,57,154],"and":[19,27,62,64,71,89,118,151,155],"unaspirated":[20,66,156],"sounds":[21,44,58,67],"is":[22],"very":[23],"difficult.":[24],"For":[25],"self-learning":[26],"practice,":[28],"we":[29],"developed":[30,103],"an":[31],"automatic":[32],"judgment":[33],"system":[34,129,146],"that":[35,133],"enabled":[36],"check":[39],"their":[40],"pronunciations":[41],"bilabial":[43,56,65],"using":[45],"a":[46,104],"computer.":[47],"We":[48,102],"extracted":[49],"the":[50,75,78,84,90,94,111,114,122,135,145],"features":[51],"correctly":[53],"pronounced":[54],"single-vowel":[55],"pa[p'a],":[59],"pi[p'i],":[60],"po[p'o],":[61],"pu[p'u],":[63],"ba[pa],":[68],"bi[pi],":[69],"bo[po],":[70],"bu[pu],":[72],"by":[73,97],"observing":[74],"evolution":[76,112],"breathing":[79,115],"power":[80,116],"spectrum":[81,117],"during":[82],"both":[83],"voice":[85],"onset":[86],"time":[87],"(VOT)":[88],"voiced":[91],"period":[92],"sounds,":[95,157],"uttered":[96],"50":[98,125],"native":[99,138],"speakers.":[101,140],"35-channel":[105],"computerized":[106],"filter":[107],"bank":[108],"analyze":[110],"then":[119],"automatically":[120],"evaluated":[121],"students.":[127],"Our":[128],"rejected":[130],"several":[131],"samples":[132],"passed":[134],"screening":[136],"The":[141],"success":[142],"rates":[143],"were":[147],"higher":[148],"than":[149],"93%":[150],"95%":[152],"respectively.":[158]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}