{"id":"https://openalex.org/W196868667","doi":"https://doi.org/10.21437/eurospeech.2001-26","title":"Hypothesis-driven accent discrimination","display_name":"Hypothesis-driven accent discrimination","publication_year":2001,"publication_date":"2001-09-03","ids":{"openalex":"https://openalex.org/W196868667","doi":"https://doi.org/10.21437/eurospeech.2001-26","mag":"196868667"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.2001-26","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-26","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","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/A5013284672","display_name":"Laura Mayfield Tomokiyo","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Laura Mayfield Tomokiyo","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5013284672"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03146357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1449","last_page":"1452"},"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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/T10860","display_name":"Speech and Audio Processing","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.8210484981536865},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7541888952255249},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6731171607971191},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6708601713180542},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.598094642162323},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5477430820465088},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.5462680459022522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.532177746295929},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5159873962402344},{"id":"https://openalex.org/keywords/first-language","display_name":"First language","score":0.4505135416984558},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4102337956428528},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1988082230091095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210484981536865},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7541888952255249},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6731171607971191},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6708601713180542},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.598094642162323},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5477430820465088},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.5462680459022522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.532177746295929},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5159873962402344},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.4505135416984558},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4102337956428528},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1988082230091095},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/eurospeech.2001-26","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.2001-26","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th European Conference on Speech Communication and Technology (Eurospeech 2001)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W120952642","https://openalex.org/W1800115528","https://openalex.org/W2102356979","https://openalex.org/W2102836199","https://openalex.org/W2137354628","https://openalex.org/W2295754094","https://openalex.org/W2335014220"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W4367680763","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2162582511"],"abstract_inverted_index":{"Native":[0],"and":[1,16,27,87,92,112],"non-native":[2,41],"use":[3],"of":[4,11,30,40,54,84,95],"language":[5,28,33],"differs,":[6],"depending":[7],"on":[8],"the":[9,12,25,51,55,66,79,96],"proficiency":[10],"speaker,":[13],"in":[14,43,106,121],"clear":[15],"quantifiable":[17],"ways.":[18],"It":[19],"has":[20],"been":[21],"shown":[22],"that":[23],"customizing":[24],"acoustic":[26],"models":[29],"a":[31,48,93,117],"natural":[32],"understanding":[34],"system":[35,105],"can":[36,69],"significantly":[37],"improve":[38],"handling":[39],"input;":[42],"order":[44],"to":[45,72],"make":[46],"such":[47],"switch,":[49],"however,":[50],"nativeness":[52],"status":[53],"user":[56],"must":[57],"be":[58,70],"known.":[59],"In":[60,102],"this":[61,127],"paper,":[62],"we":[63,114],"show":[64],"how":[65],"recognition":[67],"hypothesis":[68],"used":[71],"predict":[73],"with":[74,130],"very":[75],"high":[76],"accuracy":[77],"whether":[78],"speaker":[80],"is":[81,100],"native.":[82],"Effectiveness":[83],"both":[85,110],"word-based":[86],"phone-based":[88],"classification":[89,128],"are":[90,109],"evaluated,":[91],"discussion":[94],"primary":[97],"discriminative":[98],"features":[99],"presented.":[101],"an":[103],"LVCSR":[104],"which":[107],"users":[108],"native":[111],"non-native,":[113],"have":[115],"achieved":[116],"15.6%":[118],"relative":[119],"decrease":[120],"word":[122],"error":[123],"rate":[124],"by":[125],"integrating":[126],"method":[129],"speech":[131],"recognition.":[132]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}