{"id":"https://openalex.org/W4386609138","doi":"https://doi.org/10.1109/taslp.2023.3313447","title":"Statistical Analysis for Speaker Recognition Evaluation With Data Dependence and Three Score Distributions","display_name":"Statistical Analysis for Speaker Recognition Evaluation With Data Dependence and Three Score Distributions","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386609138","doi":"https://doi.org/10.1109/taslp.2023.3313447"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3313447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3313447","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5101938703","display_name":"Jin Chu Wu","orcid":"https://orcid.org/0000-0002-6340-2467"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jin Chu Wu","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD, USA"],"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061215075","display_name":"Raghu N. Kacker","orcid":"https://orcid.org/0000-0002-7666-3391"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raghu N. Kacker","raw_affiliation_strings":["National Institute of Standards and Technology, Gaithersburg, MD, USA"],"affiliations":[{"raw_affiliation_string":"National Institute of Standards and Technology, Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101938703"],"corresponding_institution_ids":["https://openalex.org/I1321296531"],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44494523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9959999918937683,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9959999918937683,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9915000200271606,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9876999855041504,"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/statistical-analysis","display_name":"Statistical analysis","score":0.5440226793289185},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4793620705604553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.466564804315567},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4468761086463928},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43023547530174255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3896406590938568},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.359930157661438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33254557847976685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25574153661727905}],"concepts":[{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5440226793289185},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4793620705604553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.466564804315567},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4468761086463928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43023547530174255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3896406590938568},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.359930157661438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33254557847976685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25574153661727905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3313447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3313447","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W123007118","https://openalex.org/W1553296127","https://openalex.org/W1995945562","https://openalex.org/W2021105693","https://openalex.org/W2023238506","https://openalex.org/W2065900167","https://openalex.org/W2084682436","https://openalex.org/W2093384743","https://openalex.org/W2097064738","https://openalex.org/W2102150307","https://openalex.org/W2113333142","https://openalex.org/W2117897510","https://openalex.org/W2120176508","https://openalex.org/W2126728600","https://openalex.org/W2143225045","https://openalex.org/W2157825442","https://openalex.org/W2158698691","https://openalex.org/W2167768673","https://openalex.org/W2294189206","https://openalex.org/W2334256679","https://openalex.org/W2525576482","https://openalex.org/W2600478428","https://openalex.org/W2797043077","https://openalex.org/W2800745276","https://openalex.org/W2898255675","https://openalex.org/W2902125906","https://openalex.org/W2970118803","https://openalex.org/W2978130804","https://openalex.org/W3000356918","https://openalex.org/W3041816239","https://openalex.org/W3100448777","https://openalex.org/W3111388163","https://openalex.org/W3126963415","https://openalex.org/W4245289321","https://openalex.org/W4246089003","https://openalex.org/W4298872162","https://openalex.org/W6608164371","https://openalex.org/W6739224064"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W4297807400","https://openalex.org/W2249138175","https://openalex.org/W4313854686","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W289407349","https://openalex.org/W2368768466","https://openalex.org/W2757081366","https://openalex.org/W3197877226"],"abstract_inverted_index":{"The":[0],"speaker":[1],"recognition":[2],"evaluation":[3,159],"is":[4,25,76,86,176],"conducted":[5],"in":[6,9,61,115,137,146],"a":[7,96,179],"framework":[8],"which":[10,175],"three":[11],"score":[12],"distributions":[13],"and":[14,20,39,133,160],"two":[15,30,45,198],"decision":[16],"thresholds":[17,46],"are":[18],"employed,":[19],"the":[21,29,34,44,56,80,89,131,149,166,184,188,194],"statistic":[22],"of":[23,28,33,36,55,68,84,148,162,186,191,197],"interest":[24],"an":[26],"average":[27],"weighted":[31],"sums":[32],"probabilities":[35],"type":[37,40],"I":[38],"II":[41],"errors":[42],"at":[43],"correspondingly.":[47],"And":[48],"data":[49,98,106,122],"dependence":[50],"caused":[51],"by":[52],"multiple":[53],"use":[54],"same":[57],"subjects":[58],"exists":[59],"ubiquitously":[60],"order":[62],"to":[63,105,142],"generate":[64],"more":[65],"samples":[66],"because":[67],"limited":[69],"resources.":[70],"Under":[71],"such":[72,128],"circumstances,":[73],"statistical":[74,113,189],"analysis":[75,117],"carried":[77,140],"out.":[78],"First,":[79],"standard":[81],"error":[82],"(SE)":[83],"measure":[85],"estimated":[87],"using":[88,178],"nonparametric":[90],"three-sample":[91],"two-layer":[92,97],"bootstrap":[93],"algorithm":[94],"on":[95,118,127],"structure":[99],"constructed":[100],"after":[101],"dataset":[102],"optimization":[103],"due":[104],"dependence,":[107],"based":[108,126],"upon":[109],"our":[110],"prior":[111],"rigorous":[112],"research":[114],"ROC":[116],"large":[119],"datasets":[120],"with":[121,158],"dependence.":[123],"Second,":[124],"only":[125],"SEs,":[129],"can":[130,200],"one-classifier":[132],"two-classifier":[134],"significance":[135,150,190],"testing":[136],"statistics":[138],"be":[139,171,201],"out":[141],"provide":[143],"quantitative":[144],"information":[145],"terms":[147],"level,":[151],"i.e.,":[152],"<italic":[153],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[154],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</i>-value,":[155],"while":[156],"dealing":[157],"comparison":[161],"classifiers.":[163],"In":[164],"comparison,":[165],"positive":[167],"correlation":[168],"coefficient":[169],"must":[170],"taken":[172],"into":[173],"account,":[174],"computed":[177],"synchronized":[180],"resampling":[181],"algorithm;":[182],"otherwise,":[183],"likelihood":[185],"detecting":[187],"difference":[192],"between":[193],"performance":[195],"levels":[196],"classifiers":[199],"wrongly":[202],"reduced.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}