{"id":"https://openalex.org/W3116256056","doi":"https://doi.org/10.1109/tnnls.2020.3044215","title":"Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition","display_name":"Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition","publication_year":2020,"publication_date":"2020-12-29","ids":{"openalex":"https://openalex.org/W3116256056","doi":"https://doi.org/10.1109/tnnls.2020.3044215","mag":"3116256056","pmid":"https://pubmed.ncbi.nlm.nih.gov/33373306"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.3044215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3044215","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107147/1/Li_Contrastive_Adversarial_Domain.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032967388","display_name":"Longxin Li","orcid":"https://orcid.org/0009-0003-6211-3406"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Longxin Li","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068768998","display_name":"Man\u2010Wai Mak","orcid":"https://orcid.org/0000-0001-8854-3760"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Man-Wai Mak","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-8854-3760","affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-3466-8941","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2164,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.90568755,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"33","issue":"5","first_page":"2236","last_page":"2245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9965999722480774,"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":0.9758999943733215,"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/discriminative-model","display_name":"Discriminative model","score":0.7527227401733398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7149758338928223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6158062815666199},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5981060862541199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5719667077064514},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5433242917060852},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5370845198631287},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.504125714302063},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49595627188682556},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4858943819999695},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48480382561683655},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4105474054813385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17138421535491943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07298329472541809}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7527227401733398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149758338928223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6158062815666199},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5981060862541199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5719667077064514},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5433242917060852},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5370845198631287},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.504125714302063},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49595627188682556},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4858943819999695},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48480382561683655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4105474054813385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17138421535491943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07298329472541809},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021641","descriptor_name":"Recognition, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2020.3044215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.3044215","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:33373306","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33373306","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107147","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107147","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107147/1/Li_Contrastive_Adversarial_Domain.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":"Journal/Magazine Article"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107147","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107147","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107147/1/Li_Contrastive_Adversarial_Domain.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":"Journal/Magazine Article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G705661338","display_name":null,"funder_award_id":"109-2634-F-009-024","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3116256056.pdf","grobid_xml":"https://content.openalex.org/works/W3116256056.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W775331923","https://openalex.org/W866349134","https://openalex.org/W1731081199","https://openalex.org/W1916834241","https://openalex.org/W1974387177","https://openalex.org/W1994244061","https://openalex.org/W2041823554","https://openalex.org/W2046015436","https://openalex.org/W2060300932","https://openalex.org/W2067301010","https://openalex.org/W2073017590","https://openalex.org/W2099471712","https://openalex.org/W2121812409","https://openalex.org/W2147147599","https://openalex.org/W2148154194","https://openalex.org/W2150769028","https://openalex.org/W2180339972","https://openalex.org/W2181594395","https://openalex.org/W2186162535","https://openalex.org/W2187089797","https://openalex.org/W2214409633","https://openalex.org/W2360384684","https://openalex.org/W2395750323","https://openalex.org/W2403367729","https://openalex.org/W2406312423","https://openalex.org/W2678001437","https://openalex.org/W2681118637","https://openalex.org/W2748488820","https://openalex.org/W2799976677","https://openalex.org/W2801581493","https://openalex.org/W2807246346","https://openalex.org/W2888473984","https://openalex.org/W2890964092","https://openalex.org/W2998115938","https://openalex.org/W3039832962","https://openalex.org/W6622345507","https://openalex.org/W6634441602","https://openalex.org/W6637618735","https://openalex.org/W6639480849","https://openalex.org/W6678815747","https://openalex.org/W6712325649","https://openalex.org/W6713727690","https://openalex.org/W6729756640","https://openalex.org/W6729767818","https://openalex.org/W6732249622","https://openalex.org/W6733322467","https://openalex.org/W6779669310","https://openalex.org/W7036460106"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2482350142","https://openalex.org/W2965546495","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,147,153],"aims":[2],"to":[3,22,30,44,60,115,126,143,185],"reduce":[4],"the":[5,8,46,62,74,77,95,106,112,120,134,144,158,178,195],"mismatch":[6],"between":[7],"source":[9],"and":[10,80,97,172],"target":[11],"domains.":[12],"A":[13],"domain":[14,146,152],"adversarial":[15,24,151],"network":[16,148,154],"(DAN)":[17],"has":[18],"been":[19],"recently":[20],"proposed":[21],"incorporate":[23],"learning":[25],"into":[26,65],"deep":[27],"neural":[28],"networks":[29],"create":[31],"a":[32,51,163,186],"domain-invariant":[33,47],"space.":[34],"However,":[35],"DAN's":[36],"major":[37],"drawback":[38],"is":[39,42,123],"that":[40,177],"it":[41],"difficult":[43],"find":[45],"space":[48,79],"by":[49,93,182],"using":[50],"single":[52],"feature":[53,63,87,113],"extractor.":[54],"In":[55],"this":[56],"article,":[57],"we":[58],"propose":[59],"split":[61],"extractor":[64,88,114],"two":[66],"contrastive":[67,91],"branches,":[68],"with":[69,194],"one":[70],"branch":[71,82],"delegating":[72],"for":[73],"class-dependence":[75],"in":[76,105,189],"latent":[78],"another":[81],"focusing":[83],"on":[84],"domain-invariance.":[85],"The":[86],"achieves":[89],"these":[90],"goals":[92],"sharing":[94],"first":[96],"last":[98],"hidden":[99,108],"layers":[100],"but":[101],"possessing":[102],"decoupled":[103],"branches":[104],"middle":[107],"layers.":[109],"For":[110],"encouraging":[111],"produce":[116,127],"class-discriminative":[117],"embedded":[118,159,179],"features,":[119],"label":[121],"predictor":[122],"adversarially":[124],"trained":[125],"equal":[128],"posterior":[129],"probabilities":[130],"across":[131],"all":[132],"of":[133,137,165],"outputs":[135],"instead":[136],"producing":[138],"one-hot":[139],"outputs.":[140],"We":[141,156],"refer":[142],"resulting":[145],"as":[149],"\"contrastive":[150],"(CADAN).\"":[155],"evaluated":[157],"features'":[160],"domain-invariance":[161],"via":[162],"series":[164],"speaker":[166,190],"identification":[167,191],"experiments":[168],"under":[169],"both":[170],"clean":[171],"noisy":[173],"conditions.":[174],"Results":[175],"demonstrate":[176],"features":[180],"produced":[181],"CADAN":[183],"lead":[184],"33%":[187],"improvement":[188],"accuracy":[192],"compared":[193],"conventional":[196],"DAN.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}