{"id":"https://openalex.org/W2902242104","doi":"https://doi.org/10.1109/icapr.2017.8593127","title":"Novel Quality Metric for Duration Variability Compensation in Speaker Verification using i-Vectors","display_name":"Novel Quality Metric for Duration Variability Compensation in Speaker Verification using i-Vectors","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2902242104","doi":"https://doi.org/10.1109/icapr.2017.8593127","mag":"2902242104"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2017.8593127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.00828","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110537029","display_name":"Arnab Poddar","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arnab Poddar","raw_affiliation_strings":["Dept of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","[Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA]","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110528722","display_name":"Sahidullah","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Md Sahidullah","raw_affiliation_strings":["Dept of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","[Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA]","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069790572","display_name":"Goutam Saha","orcid":"https://orcid.org/0000-0001-6187-1684"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Goutam Saha","raw_affiliation_strings":["Speech and Image Processing Unit, University of Eastern Finland, Joensuu, Finland","Speech and Image Processing Unit, School of Computing, University of Eastern Finland, Joensuu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech and Image Processing Unit, University of Eastern Finland, Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]},{"raw_affiliation_string":"Speech and Image Processing Unit, School of Computing, University of Eastern Finland, Joensuu, Finland","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26334789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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":0.9916999936103821,"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/metric","display_name":"Metric (unit)","score":0.7906668782234192},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7120540738105774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898335218429565},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.68044513463974},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5972578525543213},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.574191689491272},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5617409944534302},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5448611974716187},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.5337345004081726},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.504167914390564},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4939737915992737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4325190782546997},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4247148931026459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3825855851173401},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23813366889953613},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10440045595169067}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7906668782234192},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7120540738105774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898335218429565},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.68044513463974},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5972578525543213},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.574191689491272},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5617409944534302},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5448611974716187},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.5337345004081726},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.504167914390564},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4939737915992737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4325190782546997},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4247148931026459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3825855851173401},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23813366889953613},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10440045595169067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icapr.2017.8593127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1812.00828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.00828","pdf_url":"https://arxiv.org/pdf/1812.00828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2902242104","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1812.00828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1812.00828","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1812.00828","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.00828","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.00828","pdf_url":"https://arxiv.org/pdf/1812.00828","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902242104.pdf","grobid_xml":"https://content.openalex.org/works/W2902242104.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W67277430","https://openalex.org/W2026358225","https://openalex.org/W2041823554","https://openalex.org/W2062826588","https://openalex.org/W2084551274","https://openalex.org/W2085803031","https://openalex.org/W2143694533","https://openalex.org/W2150769028","https://openalex.org/W2154278880","https://openalex.org/W2159736522","https://openalex.org/W2170088868","https://openalex.org/W2289384004","https://openalex.org/W2319316830","https://openalex.org/W2336335760","https://openalex.org/W2343863760","https://openalex.org/W2400341349","https://openalex.org/W2760938034","https://openalex.org/W2765342219","https://openalex.org/W2773024290","https://openalex.org/W6602762607","https://openalex.org/W6713727690","https://openalex.org/W6745105617","https://openalex.org/W6746517788"],"related_works":["https://openalex.org/W2964189470","https://openalex.org/W3196660985","https://openalex.org/W2793459270","https://openalex.org/W178724834","https://openalex.org/W3025515949","https://openalex.org/W3015387011","https://openalex.org/W2576549984","https://openalex.org/W2898798322","https://openalex.org/W1192783930","https://openalex.org/W147859270","https://openalex.org/W1585307611","https://openalex.org/W2339276216","https://openalex.org/W3125394307","https://openalex.org/W223783110","https://openalex.org/W1516698649","https://openalex.org/W2096594917","https://openalex.org/W2137336030","https://openalex.org/W191108438","https://openalex.org/W3016884365","https://openalex.org/W1837592894"],"abstract_inverted_index":{"Automatic":[0],"speaker":[1,161],"verification":[2,162],"(ASV)":[3],"is":[4,37,129],"the":[5,31,52,72,82,92,143,168,171],"process":[6,87],"to":[7,38,60,90],"recognize":[8],"persons":[9],"using":[10],"voice":[11],"as":[12,99,132],"biometric.":[13],"The":[14,126,164],"ASV":[15,35,76,93,106,138],"systems":[16],"show":[17],"considerable":[18,158],"recognition":[19,40,68,86],"performance":[20,41],"with":[21,42,71,142,177],"sufficient":[22],"amount":[23],"of":[24,30,34,45,105,118,137,153,170],"speech":[25,43,62,119],"from":[26,123],"matched":[27],"condition.":[28],"One":[29],"crucial":[32],"challenges":[33],"technology":[36],"improve":[39,91],"segments":[44],"short":[46,49,178],"duration.":[47],"In":[48,140],"duration":[50],"condition,":[51],"model":[53],"parameters":[54],"are":[55],"not":[56],"properly":[57],"estimated":[58],"due":[59],"inadequate":[61],"information,":[63],"and":[64],"this":[65],"results":[66,165],"poor":[67],"accuracy":[69],"even":[70],"state-of-the-art":[73],"i-vector":[74,116],"based":[75],"system.":[77],"We":[78,148],"hypothesize":[79],"that":[80,151],"considering":[81],"estimation":[83],"quality":[84,101,113,133,155],"during":[85,103,135],"would":[88],"help":[89],"performance.":[94,163],"This":[95,108],"can":[96],"be":[97],"incorporated":[98],"a":[100,111],"measure":[102,114,134],"fusion":[104,136],"systems.":[107,139],"paper":[109],"investigates":[110],"new":[112],"for":[115],"representation":[117],"utterances":[120],"computed":[121],"directly":[122],"Baum-Welch":[124],"statistics.":[125],"proposed":[127,154,172],"metric":[128,156],"subsequently":[130],"used":[131],"experiments":[141],"NIST":[144],"SRE":[145],"2008":[146],"corpus,":[147],"have":[149],"shown":[150],"inclusion":[152],"exhibits":[157],"improvement":[159],"in":[160,174],"also":[166],"indicate":[167],"potentiality":[169],"method":[173],"real-world":[175],"scenario":[176],"test":[179],"utterances.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-08-01T00:00:00"}