{"id":"https://openalex.org/W108399510","doi":"https://doi.org/10.21437/icslp.2000-612","title":"Joint pronunciation modelling of non-native speakers using data-driven methods","display_name":"Joint pronunciation modelling of non-native speakers using data-driven methods","publication_year":2000,"publication_date":"2000-10-16","ids":{"openalex":"https://openalex.org/W108399510","doi":"https://doi.org/10.21437/icslp.2000-612","mag":"108399510"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2000-612","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","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/A5042683465","display_name":"Ingunn Amdal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ingunn Amdal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091645311","display_name":"F. Korkmazskiy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Filipp Korkmazskiy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5104102129","display_name":"Arun C. Surendran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arun C. Surendran","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042683465"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7132,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92829257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"vol. 3, 622","last_page":"625"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9970999956130981,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9968000054359436,"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/lexicon","display_name":"Lexicon","score":0.8463922739028931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8450932502746582},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.7851632237434387},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.6549466848373413},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858364701271057},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5699711441993713},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5651208758354187},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4868466258049011},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4781023859977722},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4577658474445343},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4522736966609955},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41771215200424194},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12383732199668884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08173465728759766}],"concepts":[{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8463922739028931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8450932502746582},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7851632237434387},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.6549466848373413},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858364701271057},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5699711441993713},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5651208758354187},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4868466258049011},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4781023859977722},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4577658474445343},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4522736966609955},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41771215200424194},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12383732199668884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08173465728759766},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2000-612","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2000-612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"6th International Conference on Spoken Language Processing (ICSLP 2000)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.586.7761","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.586.7761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.korfint.no/ingunn/publications/icslp2000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W5457946","https://openalex.org/W2001800583","https://openalex.org/W2127611282","https://openalex.org/W2158840414"],"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/W2386430105"],"abstract_inverted_index":{"Modelling":[0],"non-native":[1],"speakers":[2,28],"with":[3,139,150],"different":[4],"mother":[5],"tongues":[6],"is":[7,29,85,89],"a":[8,39,59,64,95,116,123,155],"difficult":[9],"task":[10],"for":[11,24,80,119],"automatic":[12],"speech":[13],"recognition":[14],"due":[15],"to":[16,30,42,90,94,114],"the":[17,32,44,49,70,74,100,111,161],"large":[18],"variation":[19],"among":[20],"speakers.":[21,121],"One":[22],"possibility":[23],"jointly":[25],"modelling":[26],"all":[27,120],"use":[31],"same":[33],"speaker":[34],"independent":[35],"acoustic":[36],"mod-els":[37],"and":[38,73,149],"joint":[40],"lexicon":[41,51,118],"capture":[43],"variation.":[45],"We":[46],"have":[47],"modified":[48],"reference":[50,71,75],"using":[52,69],"pronunciation":[53],"rules":[54,79,93,113,164],"that":[55],"are":[56],"derived":[57],"in":[58,131],"totally":[60],"data-driven":[61],"manner":[62],"from":[63],"set":[65,97],"of":[66,109,163],"adaptation":[67],"data":[68],"recognizer":[72],"lexicon.":[76],"Deriving":[77],"common":[78,96,117],"such":[81],"diverse":[82],"sources":[83],"simul-taneously":[84],"difficult.":[86],"The":[87],"challenge":[88],"combine":[91],"these":[92],"without":[98],"increasing":[99],"confusability.":[101],"In":[102],"this":[103,132],"paper":[104],"we":[105,134,159],"compare":[106],"several":[107],"methods":[108,144],"combining":[110],"individual":[112],"form":[115],"Us-ing":[122],"new":[124],"log":[125],"likelihood":[126],"rule":[127,142,147],"pruning":[128,143],"measure":[129],"presented":[130],"paper,":[133],"achieved":[135],"improved":[136],"performance":[137],"compared":[138],"more":[140],"traditional":[141],"based":[145],"on":[146],"probability,":[148],"much":[151],"fewer":[152],"rules.":[153],"With":[154],"confusability":[156],"reduction":[157],"scheme":[158],"reduced":[160],"number":[162],"even":[165],"further.":[166],"1.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
