{"id":"https://openalex.org/W2508555431","doi":"https://doi.org/10.1109/taslp.2016.2602542","title":"Score-Aging Calibration for Speaker Verification","display_name":"Score-Aging Calibration for Speaker Verification","publication_year":2016,"publication_date":"2016-08-24","ids":{"openalex":"https://openalex.org/W2508555431","doi":"https://doi.org/10.1109/taslp.2016.2602542","mag":"2508555431"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2016.2602542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2602542","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/A5087883012","display_name":"Finnian Kelly","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Finnian Kelly","raw_affiliation_strings":["Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057910370","display_name":"John H. L. Hansen","orcid":"https://orcid.org/0000-0003-1382-9929"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John H. L. Hansen","raw_affiliation_strings":["Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Robust Speech Systems, University of Texas at Dallas, Richardson, TX, USA","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":1.6202,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89893558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"12","first_page":"2414","last_page":"2424"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.996399998664856,"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/offset","display_name":"Offset (computer science)","score":0.6725491285324097},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.6484596133232117},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6424804329872131},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5984945893287659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.566036581993103},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5599913597106934},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4267526865005493},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41152700781822205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37451788783073425},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3484097719192505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32757335901260376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28028595447540283},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.16457006335258484}],"concepts":[{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6725491285324097},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.6484596133232117},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6424804329872131},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5984945893287659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.566036581993103},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5599913597106934},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4267526865005493},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41152700781822205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37451788783073425},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3484097719192505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32757335901260376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28028595447540283},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.16457006335258484},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2016.2602542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2602542","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":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5339030464","display_name":null,"funder_award_id":"FA8750-15-1- 0205","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W315981868","https://openalex.org/W620149980","https://openalex.org/W1481604723","https://openalex.org/W1481674401","https://openalex.org/W1549139785","https://openalex.org/W1565746575","https://openalex.org/W1576377683","https://openalex.org/W1936725236","https://openalex.org/W2003200396","https://openalex.org/W2016770751","https://openalex.org/W2023238506","https://openalex.org/W2023582935","https://openalex.org/W2056751378","https://openalex.org/W2057888214","https://openalex.org/W2059673175","https://openalex.org/W2065802107","https://openalex.org/W2080382335","https://openalex.org/W2082885908","https://openalex.org/W2112465581","https://openalex.org/W2143694533","https://openalex.org/W2149856110","https://openalex.org/W2150769028","https://openalex.org/W2154278880","https://openalex.org/W2159859597","https://openalex.org/W2166113160","https://openalex.org/W2167768673","https://openalex.org/W2395750323","https://openalex.org/W2402977856","https://openalex.org/W2404727576","https://openalex.org/W2406312423","https://openalex.org/W2408608560","https://openalex.org/W6610932728","https://openalex.org/W6634649731","https://openalex.org/W6713007783","https://openalex.org/W6713524729","https://openalex.org/W6713727690","https://openalex.org/W6713865502"],"related_works":["https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2376224659","https://openalex.org/W2169064893","https://openalex.org/W32484671","https://openalex.org/W4294437891","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525"],"abstract_inverted_index":{"The":[0,91],"gradual":[1],"changes":[2],"that":[3,137],"occur":[4],"in":[5,59,120],"the":[6,24,33,47,99,143,159],"human":[7],"voice":[8],"due":[9],"to":[10,22,88,97,111,114],"aging":[11,57,73,84,92,116,163],"create":[12],"challenges":[13],"for":[14,46,105,158],"speaker":[15,29,165],"verification.":[16],"This":[17],"study":[18],"presents":[19],"an":[20],"approach":[21,151],"calibrating":[23],"output":[25],"scores":[26],"of":[27,49,86,122,125,142,156,162],"a":[28,60,138,153],"verification":[30,166],"system":[31,139],"using":[32],"time":[34,51,144],"interval":[35,145],"between":[36,76,146],"comparison":[37],"samples":[38,147],"as":[39,56],"additional":[40],"information.":[41],"Several":[42],"functions":[43],"are":[44,67,129],"proposed":[45],"incorporation":[48],"this":[50,150],"information,":[52,58],"which":[53],"is":[54,95],"viewed":[55],"conventional":[61],"linear":[62],"score":[63],"calibration":[64,93,103],"transformation.":[65],"Experiments":[66],"presented":[68],"on":[69,164],"data":[70],"with":[71],"shortterm":[72],"intervals":[74,85],"ranging":[75],"2":[77],"months":[78],"and":[79,82,102,110,127],"3":[80],"years,":[81],"long-term":[83,108,133],"up":[87],"30":[89],"years.":[90],"proposal":[94],"shown":[96],"offset":[98],"decreased":[100],"discrimination":[101],"performance":[104],"both":[106],"shortand":[107,132],"intervals,":[109,134],"extrapolate":[112],"well":[113],"unseen":[115],"intervals.":[117],"Relative":[118],"reductions":[119],"Cu\u2113\u2113r(cost":[121],"log-likelihood":[123],"ratio)":[124],"1-4%":[126],"10-43%":[128],"obtained":[130],"at":[131],"respectively.":[135],"Assuming":[136],"has":[140],"knowledge":[141],"under":[148],"comparison,":[149],"represents":[152],"straightforward":[154],"means":[155],"compensating":[157],"detrimental":[160],"impact":[161],"performance.":[167]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}