{"id":"https://openalex.org/W2786927338","doi":"https://doi.org/10.1109/asru.2017.8268921","title":"Language diarization for semi-supervised bilingual acoustic model training","display_name":"Language diarization for semi-supervised bilingual acoustic model training","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786927338","doi":"https://doi.org/10.1109/asru.2017.8268921","mag":"2786927338"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2017.8268921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2017.8268921","pdf_url":null,"source":{"id":"https://openalex.org/S4306498158","display_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2066/183675","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004568334","display_name":"Emre Y\u0131lmaz","orcid":"https://orcid.org/0000-0001-7466-3358"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Emre Yilmaz","raw_affiliation_strings":["Radboud Universiteit, Nijmegen, Gelderland, NL"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radboud Universiteit, Nijmegen, Gelderland, NL","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060382325","display_name":"Mitchell McLaren","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mitchell McLaren","raw_affiliation_strings":["SRI International, Speech Technology and Research Laboratory, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International, Speech Technology and Research Laboratory, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I1298353152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042937911","display_name":"Henk van den Heuvel","orcid":"https://orcid.org/0000-0003-2064-0630"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henk van den Heuvel","raw_affiliation_strings":["CLS/CLST, Radboud University, Nijmegen, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLS/CLST, Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055712584","display_name":"David A. van Leeuwen","orcid":"https://orcid.org/0000-0001-9704-6141"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"David A. van Leeuwen","raw_affiliation_strings":["CLS/CLST, Radboud University, Nijmegen, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLS/CLST, Radboud University, Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]}]}],"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":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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/T12031","display_name":"Speech and dialogue systems","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.8121618032455444},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.8058840036392212},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6400114297866821},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5664464831352234},{"id":"https://openalex.org/keywords/phonetic-transcription","display_name":"Phonetic transcription","score":0.5391775369644165},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.5389154553413391},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5388389229774475},{"id":"https://openalex.org/keywords/acoustic-model","display_name":"Acoustic model","score":0.5104398131370544},{"id":"https://openalex.org/keywords/speech-corpus","display_name":"Speech corpus","score":0.4861692786216736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.480716735124588},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3173033595085144},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"Speech synthesis","score":0.2632829546928406},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.16202673316001892},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13834303617477417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8121618032455444},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.8058840036392212},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6400114297866821},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5664464831352234},{"id":"https://openalex.org/C2777853878","wikidata":"https://www.wikidata.org/wiki/Q743569","display_name":"Phonetic transcription","level":2,"score":0.5391775369644165},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.5389154553413391},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5388389229774475},{"id":"https://openalex.org/C155635449","wikidata":"https://www.wikidata.org/wiki/Q4674699","display_name":"Acoustic model","level":3,"score":0.5104398131370544},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.4861692786216736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.480716735124588},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3173033595085144},{"id":"https://openalex.org/C14999030","wikidata":"https://www.wikidata.org/wiki/Q16346","display_name":"Speech synthesis","level":2,"score":0.2632829546928406},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.16202673316001892},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13834303617477417},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/asru.2017.8268921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2017.8268921","pdf_url":null,"source":{"id":"https://openalex.org/S4306498158","display_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/145622","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/145622","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:repository.ubn.ru.nl:2066/183675","is_oa":false,"landing_page_url":"https://hdl.handle.net/2066/183675","pdf_url":null,"source":{"id":"https://openalex.org/S4306401067","display_name":"Radboud Repository (Radboud University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145872427","host_organization_name":"Radboud University Nijmegen","host_organization_lineage":["https://openalex.org/I145872427"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article in monograph or in proceedings"},{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/183675","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/183675","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of ASRU 2017. IEEE Automatic Speech Recognition and Understanding, 91 - 96. [S.l.] : IEEE","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:ru:oai:repository.ubn.ru.nl:2066/183675","is_oa":true,"landing_page_url":"http://hdl.handle.net/2066/183675","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of ASRU 2017. IEEE Automatic Speech Recognition and Understanding, 91 - 96. [S.l.] : IEEE","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W3765491","https://openalex.org/W29952999","https://openalex.org/W39894373","https://openalex.org/W308745112","https://openalex.org/W1495749136","https://openalex.org/W1524333225","https://openalex.org/W1531318651","https://openalex.org/W1547265124","https://openalex.org/W1586405805","https://openalex.org/W1596466108","https://openalex.org/W1965819578","https://openalex.org/W1975113979","https://openalex.org/W2002342963","https://openalex.org/W2023946512","https://openalex.org/W2025198378","https://openalex.org/W2038262612","https://openalex.org/W2049032416","https://openalex.org/W2056200968","https://openalex.org/W2095629250","https://openalex.org/W2098355803","https://openalex.org/W2120209245","https://openalex.org/W2127982613","https://openalex.org/W2131342762","https://openalex.org/W2134817403","https://openalex.org/W2139453310","https://openalex.org/W2150769028","https://openalex.org/W2153181479","https://openalex.org/W2153433699","https://openalex.org/W2262393948","https://openalex.org/W2345588181","https://openalex.org/W2345986601","https://openalex.org/W2402738905","https://openalex.org/W2512355221","https://openalex.org/W2514407679","https://openalex.org/W2571803900","https://openalex.org/W2572438855","https://openalex.org/W2578893474","https://openalex.org/W2585066892","https://openalex.org/W2587496545","https://openalex.org/W2741952725","https://openalex.org/W2749990163","https://openalex.org/W6600154122","https://openalex.org/W6601192135","https://openalex.org/W6610887377","https://openalex.org/W6629638798","https://openalex.org/W6631362777","https://openalex.org/W6632042294","https://openalex.org/W6632773084","https://openalex.org/W6679429981","https://openalex.org/W6680125536","https://openalex.org/W6692958011","https://openalex.org/W6713259710","https://openalex.org/W6725219515","https://openalex.org/W6731987800","https://openalex.org/W6732150167","https://openalex.org/W6732557975","https://openalex.org/W6732734808","https://openalex.org/W6742083444","https://openalex.org/W6902997342","https://openalex.org/W7047943384"],"related_works":["https://openalex.org/W97919259","https://openalex.org/W2611760243","https://openalex.org/W4286470251","https://openalex.org/W2950105263","https://openalex.org/W4250156791","https://openalex.org/W2111874347","https://openalex.org/W2103288531","https://openalex.org/W113515668","https://openalex.org/W4389611230","https://openalex.org/W2105439218"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,23,87,111,143],"investigate":[4],"several":[5],"automatic":[6,100,137,171],"transcription":[7,26,101,172],"schemes":[8],"for":[9],"using":[10,98,165,179],"raw":[11,160],"bilingual":[12,18,31,113,181],"broadcast":[13],"news":[14],"data":[15,96,125,162],"in":[16],"semi-supervised":[17],"acoustic":[19,114,141],"model":[20],"training.":[21],"Specifically,":[22],"compare":[24],"the":[25,41,52,60,69,91,105,121,127,133,136,159,166,170],"quality":[27,134,173],"provided":[28],"by":[29,44,97],"a":[30,72,85,176,180],"ASR":[32,47,118,182],"system":[33,36,178],"with":[34],"another":[35],"performing":[37],"language":[38,54,156],"diarization":[39,157],"at":[40],"front-end":[42],"followed":[43],"two":[45],"monolingual":[46,167],"systems":[48],"chosen":[49],"based":[50],"on":[51,59,120],"assigned":[53],"label.":[55],"Our":[56],"research":[57],"focuses":[58],"Frisian-Dutch":[61],"code-switching":[62],"(CS)":[63],"speech":[64,83,129,145,161],"that":[65,154],"is":[66],"extracted":[67],"from":[68],"archives":[70],"of":[71,79,93,126,135],"local":[73],"radio":[74],"broadcaster.":[75],"Using":[76,139],"11":[77],"hours":[78],"manually":[80,106],"transcribed":[81,109],"Frisian":[82],"as":[84],"reference,":[86],"aim":[88],"to":[89,131,158,163,175],"increase":[90],"amount":[92],"available":[94],"training":[95],"these":[99,140],"techniques.":[102],"By":[103],"merging":[104],"and":[107,116,123,147],"automatically":[108],"data,":[110],"learn":[112],"models":[115],"run":[117],"experiments":[119],"development":[122],"test":[124],"FAME!":[128],"corpus":[130],"quantify":[132],"transcriptions.":[138],"models,":[142],"present":[144],"recognition":[146],"CS":[148],"detection":[149],"accuracies.":[150],"The":[151],"results":[152],"demonstrate":[153],"applying":[155],"enable":[164],"resources":[168],"improves":[169],"compared":[174],"baseline":[177],"system.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
