{"id":"https://openalex.org/W2890250568","doi":"https://doi.org/10.1109/icassp.2018.8461344","title":"Deep Neural Network Based Discriminative Training for I-Vector/PLDA Speaker Verification","display_name":"Deep Neural Network Based Discriminative Training for I-Vector/PLDA Speaker Verification","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2890250568","doi":"https://doi.org/10.1109/icassp.2018.8461344","mag":"2890250568"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101846141","display_name":"Tieran Zheng","orcid":"https://orcid.org/0009-0006-5179-0278"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Tieran","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Han Jiqing","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Jiqing","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zheng Guibin","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Guibin","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5354","last_page":"5358"},"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":0.9944000244140625,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9305457472801208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8232884407043457},{"id":"https://openalex.org/keywords/nist","display_name":"NIST","score":0.7714347839355469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7365814447402954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6273373961448669},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5563482642173767},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49840593338012695},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4260699450969696},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41986536979675293},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37770989537239075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3664555549621582}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9305457472801208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8232884407043457},{"id":"https://openalex.org/C111219384","wikidata":"https://www.wikidata.org/wiki/Q6954384","display_name":"NIST","level":2,"score":0.7714347839355469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7365814447402954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6273373961448669},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5563482642173767},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49840593338012695},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4260699450969696},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41986536979675293},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37770989537239075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3664555549621582},{"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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1502987634","https://openalex.org/W1522301498","https://openalex.org/W1524333225","https://openalex.org/W2046056978","https://openalex.org/W2053159670","https://openalex.org/W2123768812","https://openalex.org/W2137310491","https://openalex.org/W2150769028","https://openalex.org/W2168561756","https://openalex.org/W2183016404","https://openalex.org/W2397703486","https://openalex.org/W2403389749","https://openalex.org/W2406312423","https://openalex.org/W2748377523","https://openalex.org/W2749358494","https://openalex.org/W2962751625","https://openalex.org/W2963068250","https://openalex.org/W3141593045","https://openalex.org/W4234330420","https://openalex.org/W6629984738","https://openalex.org/W6631190155","https://openalex.org/W6631362777","https://openalex.org/W6660130284","https://openalex.org/W6663815171","https://openalex.org/W6678195618","https://openalex.org/W6691430256","https://openalex.org/W6712389868","https://openalex.org/W6713186265","https://openalex.org/W6713727690","https://openalex.org/W6792091839"],"related_works":["https://openalex.org/W2114217318","https://openalex.org/W2794812819","https://openalex.org/W2120164251","https://openalex.org/W2587881214","https://openalex.org/W3104072235","https://openalex.org/W3036945320","https://openalex.org/W2370263288","https://openalex.org/W2169311637","https://openalex.org/W4367850163","https://openalex.org/W2395040056"],"abstract_inverted_index":{"In":[0],"the":[1,8,41,67,85,104],"studies":[2],"of":[3,11,50,107,112],"i-vector":[4],"based":[5,61],"speaker":[6],"verification,":[7],"discriminative":[9,14,76,93],"training":[10,77],"probabilistic":[12],"linear":[13,68],"analysis":[15,70],"(PLDA)":[16],"model":[17,64],"has":[18],"been":[19],"proven":[20],"to":[21,26,39,65,82],"be":[22],"an":[23],"effective":[24],"way":[25],"improve":[27],"performance.":[28],"This":[29],"paper":[30],"focuses":[31],"on":[32],"using":[33],"a":[34,57,75],"deep":[35,58],"neural":[36,59],"network":[37,60,86],"(DNN)":[38],"strengthen":[40],"original":[42],"discriminatively":[43],"trained":[44],"classifiers":[45],"by":[46],"its":[47],"strong":[48],"capability":[49],"nonlinear":[51],"modeling":[52],"representation.":[53],"We":[54],"first":[55],"propose":[56],"dimensionality":[62],"reduction":[63],"replace":[66],"discriminant":[69],"(LDA)":[71],"process,":[72],"and":[73,87],"then":[74],"algorithm":[78],"is":[79],"also":[80],"proposed":[81],"jointly":[83],"optimize":[84],"PLDA":[88],"scoring":[89],"function":[90],"under":[91],"single":[92],"criterion.":[94],"Our":[95],"experiments":[96],"show":[97],"that":[98],"performance":[99],"improvements":[100],"are":[101],"achieved":[102],"in":[103],"male":[105],"trials":[106],"short2-short3":[108],"core":[109],"data":[110],"set":[111],"NIST":[113],"SRE08.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
