{"id":"https://openalex.org/W4406461500","doi":"https://doi.org/10.1109/slt61566.2024.10832274","title":"Distillation-Based Feature Extraction Algorithm For Source Speaker Verification","display_name":"Distillation-Based Feature Extraction Algorithm For Source Speaker Verification","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4406461500","doi":"https://doi.org/10.1109/slt61566.2024.10832274"},"language":"en","primary_location":{"id":"doi:10.1109/slt61566.2024.10832274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt61566.2024.10832274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Spoken Language Technology Workshop (SLT)","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/A5115045725","display_name":"Xinlei Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlei Ma","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082286929","display_name":"Wenhuan Lu","orcid":"https://orcid.org/0000-0002-7951-8907"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhuan Lu","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068108205","display_name":"Ruiteng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiteng Zhang","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006839468","display_name":"Junhai Xu","orcid":"https://orcid.org/0000-0002-4289-647X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhai Xu","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034792613","display_name":"Xugang Lu","orcid":"https://orcid.org/0000-0001-7075-448X"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xugang Lu","raw_affiliation_strings":["National Institute of Information and Communications Technology,Kyoto,Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology,Kyoto,Japan","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027428789","display_name":"Jianguo Wei","orcid":"https://orcid.org/0000-0002-8964-9759"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Wei","raw_affiliation_strings":["Tianjin University,College of Intelligence and Computing,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin University,College of Intelligence and Computing,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5115045725"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23826086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1240","last_page":"1246"},"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":0.9990000128746033,"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":0.992900013923645,"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/computer-science","display_name":"Computer science","score":0.7717707753181458},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6453646421432495},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.6034307479858398},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5511960387229919},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5239812731742859},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45924049615859985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4025682806968689},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3729698956012726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3517478108406067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3305302858352661},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.3257559537887573},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.054659754037857056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7717707753181458},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6453646421432495},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.6034307479858398},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5511960387229919},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5239812731742859},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45924049615859985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4025682806968689},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3729698956012726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3517478108406067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305302858352661},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.3257559537887573},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.054659754037857056},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt61566.2024.10832274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt61566.2024.10832274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Spoken Language Technology Workshop (SLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336756","display_name":"Tianjin Science and Technology Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W2106790438","https://openalex.org/W2123299109","https://openalex.org/W2152761983","https://openalex.org/W2176804518","https://openalex.org/W2745896134","https://openalex.org/W2808631503","https://openalex.org/W2890964092","https://openalex.org/W2936802426","https://openalex.org/W2967606780","https://openalex.org/W2969985801","https://openalex.org/W2981087920","https://openalex.org/W3024869864","https://openalex.org/W3083423753","https://openalex.org/W3097244734","https://openalex.org/W3163150275","https://openalex.org/W3163475957","https://openalex.org/W3165478005","https://openalex.org/W3197659778","https://openalex.org/W3197763626","https://openalex.org/W3202267900","https://openalex.org/W3208777959","https://openalex.org/W3213248030","https://openalex.org/W3213785244","https://openalex.org/W4313306150","https://openalex.org/W4320451749","https://openalex.org/W4372260053","https://openalex.org/W4372260476","https://openalex.org/W4375868976","https://openalex.org/W4385823240","https://openalex.org/W4385823264","https://openalex.org/W4385823432","https://openalex.org/W4385823472","https://openalex.org/W4392969497","https://openalex.org/W4399511042","https://openalex.org/W4400579178","https://openalex.org/W6802029025","https://openalex.org/W6802527329","https://openalex.org/W6805710207","https://openalex.org/W6849600165","https://openalex.org/W6868951627"],"related_works":["https://openalex.org/W66821593","https://openalex.org/W1521299571","https://openalex.org/W3141593045","https://openalex.org/W204267554","https://openalex.org/W2134501921","https://openalex.org/W4252590334","https://openalex.org/W2543777506","https://openalex.org/W2407001684","https://openalex.org/W3096066489","https://openalex.org/W3119184205"],"abstract_inverted_index":{"Automatic":[0],"speaker":[1,24,34],"verification":[2,25],"(ASV)":[3],"systems":[4],"face":[5],"significant":[6],"challenges":[7],"when":[8],"exposed":[9],"to":[10,30,52,57,84,125],"spoofing":[11],"attacks,":[12],"necessitating":[13],"robust":[14],"countermeasures.":[15],"In":[16],"this":[17],"work,":[18],"we":[19],"focus":[20],"on":[21,95],"the":[22,32,54,73,86,90,96,100,107,113,120,137],"source":[23,33,59],"(SSV)":[26],"task,":[27],"which":[28],"aims":[29],"identify":[31],"hidden":[35],"in":[36,116,136],"spoofed":[37],"speech":[38,83],"generated":[39],"by":[40],"voice":[41],"conversion":[42],"(VC)":[43],"systems.":[44],"We":[45],"propose":[46],"a":[47,64,69,77],"distillation-based":[48],"feature":[49],"extraction":[50],"algorithm":[51],"enhance":[53],"model\u2019s":[55],"ability":[56],"verify":[58],"speakers.":[60],"Our":[61,110],"method":[62],"employs":[63],"pretraining":[65],"ASV":[66],"model":[67,75],"as":[68,76],"teacher":[70],"network":[71],"and":[72,102,118],"SSV":[74,117],"student":[78],"network,":[79],"using":[80],"bona":[81],"fide":[82],"guide":[85],"learning":[87],"process.":[88],"However,":[89],"improvements":[91],"were":[92],"marginal,":[93],"particularly":[94],"development":[97],"set,":[98],"indicating":[99],"complexity":[101],"resource":[103],"demands":[104],"of":[105],"fine-tuning":[106],"distillation":[108],"parameters.":[109],"findings":[111],"underscore":[112],"inherent":[114],"difficulties":[115],"highlight":[119],"need":[121],"for":[122],"further":[123],"research":[124],"develop":[126],"more":[127],"effective":[128],"solutions.":[129],"Besides,":[130],"our":[131],"submission":[132],"won":[133],"fourth":[134],"place":[135],"2024":[138],"Source":[139],"Speaker":[140],"Tracking":[141],"Challenge.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
