{"id":"https://openalex.org/W2941382383","doi":"https://doi.org/10.21437/odyssey.2014-37","title":"Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition","display_name":"Linearly Constrained Minimum Variance for Robust I-vector Based Speaker Recognition","publication_year":2014,"publication_date":"2014-06-16","ids":{"openalex":"https://openalex.org/W2941382383","doi":"https://doi.org/10.21437/odyssey.2014-37","mag":"2941382383"},"language":"en","primary_location":{"id":"doi:10.21437/odyssey.2014-37","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-37","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2014)","raw_type":"proceedings-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/A5003884748","display_name":"Abbas Khosravani","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Abbas Khosravani","raw_affiliation_strings":["Laboratory for Intelligent Multimedia Processing Department of Computer Engineering & Information Technology Amirkabir University of Technology"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing Department of Computer Engineering & Information Technology Amirkabir University of Technology","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102050171","display_name":"Mohammad Mahdi Homayounpour","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Mahdi Homayounpour","raw_affiliation_strings":["Laboratory for Intelligent Multimedia Processing Department of Computer Engineering & Information Technology Amirkabir University of Technology"],"affiliations":[{"raw_affiliation_string":"Laboratory for Intelligent Multimedia Processing Department of Computer Engineering & Information Technology Amirkabir University of Technology","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003884748"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":1.1776,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80994469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"249","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.7038981914520264},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6882885694503784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.654006838798523},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.5771930813789368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5218141078948975},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5200369358062744},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45156267285346985},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.424582302570343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42048874497413635},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22306254506111145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17928087711334229},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.07870584726333618}],"concepts":[{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.7038981914520264},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6882885694503784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.654006838798523},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.5771930813789368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5218141078948975},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5200369358062744},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45156267285346985},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.424582302570343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42048874497413635},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22306254506111145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17928087711334229},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.07870584726333618},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/odyssey.2014-37","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2014-37","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2014)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.1259","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.1259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.uef.fi/odyssey2014/program/pdfs/33.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W111477576","https://openalex.org/W653761051","https://openalex.org/W1521990686","https://openalex.org/W1916834241","https://openalex.org/W2005602327","https://openalex.org/W2064364374","https://openalex.org/W2066218102","https://openalex.org/W2072728288","https://openalex.org/W2111937449","https://openalex.org/W2123768812","https://openalex.org/W2136879537","https://openalex.org/W2144760012","https://openalex.org/W2150769028","https://openalex.org/W2397474108","https://openalex.org/W2406312423","https://openalex.org/W2407374891","https://openalex.org/W2889636185"],"related_works":["https://openalex.org/W66821593","https://openalex.org/W1521299571","https://openalex.org/W4235705411","https://openalex.org/W2463762105","https://openalex.org/W2166923183","https://openalex.org/W204267554","https://openalex.org/W2134501921","https://openalex.org/W4252590334","https://openalex.org/W2543777506","https://openalex.org/W3096066489"],"abstract_inverted_index":{"This":[0,33],"paper":[1],"aims":[2],"at":[3],"presenting":[4],"our":[5,154],"algorithm":[6],"used":[7],"to":[8,116,140,161],"make":[9,58],"submission":[10],"for":[11,55,92],"the":[12,37,51,59,67,72,88,152,162],"NIST":[13],"2013-2014":[14],"speaker":[15,40,113],"recognition":[16],"i-vector":[17,22],"challenge.":[18],"The":[19,63],"fixed":[20],"dimensional":[21],"representation":[23],"of":[24,39,69,71,90,110,134],"speech":[25,48],"utterances":[26],"has":[27,84],"attracted":[28],"attentions":[29],"from":[30,45,107],"other":[31],"communities.":[32],"challenge":[34],"focuses":[35],"on":[36],"task":[38],"detection":[41],"using":[42,131],"i-vectors":[43,53,109],"derived":[44],"conversational":[46],"telephony":[47],"data.":[49],"However,":[50],"unlabeled":[52],"provided":[54],"development":[56],"purpose":[57],"problem":[60],"more":[61],"challenging.":[62],"proposed":[64,139],"method":[65],"uses":[66],"idea":[68],"one":[70],"popular":[73],"robust":[74],"beamforming":[75,91],"techniques":[76],"named":[77],"Linearly":[78],"Constrained":[79],"Minimum":[80],"Variance":[81],"(LCMV),":[82],"which":[83],"been":[85,138],"presented":[86],"in":[87,151],"context":[89],"signal":[93],"enhancement.":[94],"We":[95],"will":[96],"show":[97],"that":[98],"LCMV":[99],"can":[100],"improve":[101,141],"performance":[102],"by":[103,145],"building":[104],"a":[105,111,132],"model":[106],"different":[108],"given":[112],"so":[114],"as":[115],"cancel":[117],"inter-session":[118],"variability":[119],"and":[120,128],"increase":[121],"inter-speaker":[122],"variability.":[123],"Imposter":[124],"covariance":[125],"matrix":[126],"modification":[127],"score":[129],"normalization":[130],"selection":[133],"imposter":[135],"speakers":[136],"have":[137],"performance.":[142],"As":[143],"measured":[144],"minimum":[146],"decision":[147],"cost":[148],"function":[149],"defined":[150],"challenge,":[153],"result":[155],"is":[156],"27":[157],"%":[158],"better":[159],"relative":[160],"baseline":[163],"system.":[164],"1.":[165]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
