{"id":"https://openalex.org/W2756766252","doi":"https://doi.org/10.23919/biosig.2017.8053510","title":"Impact of Bandwidth and Channel Variation on Presentation Attack Detection for Speaker Verification","display_name":"Impact of Bandwidth and Channel Variation on Presentation Attack Detection for Speaker Verification","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756766252","doi":"https://doi.org/10.23919/biosig.2017.8053510","mag":"2756766252"},"language":"en","primary_location":{"id":"doi:10.23919/biosig.2017.8053510","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","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/A5078464030","display_name":"H\u00e9ctor Delgado","orcid":"https://orcid.org/0000-0002-4475-2517"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hector Delgado","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049594655","display_name":"Massimiliano Todisco","orcid":"https://orcid.org/0000-0003-2883-0324"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Massimiliano Todisco","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicholas Evans","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079693142","display_name":"Md Sahidullah","orcid":"https://orcid.org/0000-0002-0624-2903"},"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"]},{"id":"https://openalex.org/I4210107997","display_name":"Finland University","ror":"https://ror.org/014rks409","country_code":"FI","type":"education","lineage":["https://openalex.org/I4210107997"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Md Sahidullah","raw_affiliation_strings":["University of Eastern Finland, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eastern Finland, Finland","institution_ids":["https://openalex.org/I175532246","https://openalex.org/I4210107997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101450498","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0003-3700-4307"},"institutions":[{"id":"https://openalex.org/I4210095513","display_name":"Valid International (United Kingdom)","ror":"https://ror.org/00sb6vz77","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210095513"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Ming Liu","raw_affiliation_strings":["Validsoft Ltd., United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Validsoft Ltd., United Kingdom","institution_ids":["https://openalex.org/I4210095513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009931329","display_name":"Federico Alegre","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095513","display_name":"Valid International (United Kingdom)","ror":"https://ror.org/00sb6vz77","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210095513"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Federico Alegre","raw_affiliation_strings":["Validsoft Ltd., United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Validsoft Ltd., United Kingdom","institution_ids":["https://openalex.org/I4210095513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043168931","display_name":"Tomi Kinnunen","orcid":"https://orcid.org/0000-0002-4371-7322"},"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":"Tomi Kinnunen","raw_affiliation_strings":["Ita-Suomen yliopisto, Joensuu, FI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ita-Suomen yliopisto, Joensuu, FI","institution_ids":["https://openalex.org/I175532246"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062788035","display_name":"Beno\u00eet Fauve","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095513","display_name":"Valid International (United Kingdom)","ror":"https://ror.org/00sb6vz77","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210095513"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Benoit Fauve","raw_affiliation_strings":["Validsoft Ltd., United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Validsoft Ltd., United Kingdom","institution_ids":["https://openalex.org/I4210095513"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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":0.9959999918937683,"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/narrowband","display_name":"Narrowband","score":0.796678900718689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7864657640457153},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.5901955366134644},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5696866512298584},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5621650218963623},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5199761986732483},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4964452385902405},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.471571147441864},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4173990488052368},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.29823440313339233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19194695353507996}],"concepts":[{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.796678900718689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864657640457153},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.5901955366134644},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5696866512298584},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5621650218963623},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5199761986732483},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4964452385902405},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.471571147441864},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4173990488052368},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.29823440313339233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19194695353507996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/biosig.2017.8053510","is_oa":false,"landing_page_url":"https://doi.org/10.23919/biosig.2017.8053510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},{"id":"pmh:oai:fr.eurecom:5282","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/5282","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BIOSIG 2017, 16th International Conference of the Biometrics Special Interest Group, September 20-22, 2017, Darmstadt, Germany&amp;#13;&amp;#10;","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W282499614","https://openalex.org/W1838323663","https://openalex.org/W1936725236","https://openalex.org/W2022023892","https://openalex.org/W2062703747","https://openalex.org/W2083458151","https://openalex.org/W2112606109","https://openalex.org/W2123299109","https://openalex.org/W2154278880","https://openalex.org/W2165880886","https://openalex.org/W2295634712","https://openalex.org/W2297648422","https://openalex.org/W2303197844","https://openalex.org/W2398971481","https://openalex.org/W2407170210","https://openalex.org/W2503204202","https://openalex.org/W2512302098","https://openalex.org/W2585365199","https://openalex.org/W2588445447","https://openalex.org/W2590129515","https://openalex.org/W2745896134","https://openalex.org/W3198123200","https://openalex.org/W6697322189","https://openalex.org/W6712618806","https://openalex.org/W6713566751"],"related_works":["https://openalex.org/W1599433772","https://openalex.org/W1966267561","https://openalex.org/W4245011087","https://openalex.org/W2893763841","https://openalex.org/W1587660403","https://openalex.org/W1560125148","https://openalex.org/W2189089965","https://openalex.org/W2416972381","https://openalex.org/W2110311073","https://openalex.org/W2795346515"],"abstract_inverted_index":{"Vulnerabilities":[0],"to":[1,15,125],"presentation":[2,20],"attacks":[3],"can":[4,103],"undermine":[5],"confidence":[6],"in":[7,60,95,120],"automatic":[8],"speaker":[9],"verification":[10],"(ASV)":[11],"technology.":[12],"While":[13],"efforts":[14],"develop":[16],"countermeasures,":[17],"known":[18],"as":[19],"attack":[21],"detection":[22],"(PAD)":[23],"systems,":[24],"are":[25,45],"now":[26],"under":[27],"way,":[28],"the":[29,69,117,121],"majority":[30],"of":[31,68,71,101],"past":[32],"work":[33],"has":[34],"been":[35],"performed":[36],"with":[37],"high-quality":[38],"speech":[39],"data.":[40],"Many":[41],"practical":[42],"ASV":[43],"applications":[44],"narrowband":[46,128],"and":[47,51,73,85],"encompass":[48],"various":[49],"coding":[50],"other":[52],"channel":[53,74,133],"effects.":[54],"PAD":[55,77,83],"performance":[56,99,111],"is":[57,113,135],"largely":[58],"untested":[59],"such":[61],"scenarios.":[62],"This":[63,110],"paper":[64],"reports":[65],"an":[66],"assessment":[67],"impact":[70],"bandwidth":[72],"variation":[75,134],"on":[76],"performance.":[78,96],"Assessments":[79],"using":[80],"two":[81,86],"current":[82],"solutions":[84],"standard":[87],"databases":[88],"show":[89],"that":[90],"they":[91],"provoke":[92],"significant":[93],"degradations":[94],"Encouragingly,":[97],"relative":[98],"improvements":[100],"98%":[102],"nonetheless":[104],"be":[105],"achieved":[106,114],"through":[107],"feature":[108,122],"optimisation.":[109],"gain":[112],"by":[115],"optimising":[116],"spectro-temporal":[118],"decomposition":[119],"extraction":[123],"process":[124],"compensate":[126],"for":[127,132],"speech.":[129],"However,":[130],"compensating":[131],"considerably":[136],"more":[137],"challenging.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
