{"id":"https://openalex.org/W7124863427","doi":"https://doi.org/10.1109/cbmi66578.2025.11339332","title":"TrueEar: A Lightweight and Accurate Fake Voice Detector for Mobile Devices","display_name":"TrueEar: A Lightweight and Accurate Fake Voice Detector for Mobile Devices","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7124863427","doi":"https://doi.org/10.1109/cbmi66578.2025.11339332"},"language":null,"primary_location":{"id":"doi:10.1109/cbmi66578.2025.11339332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi66578.2025.11339332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Content-Based Multimedia Indexing (CBMI)","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/A5022957687","display_name":"Cameron Baird","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cameron Baird","raw_affiliation_strings":["Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633771","display_name":"Ke Li","orcid":"https://orcid.org/0000-0003-2452-5592"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Li","raw_affiliation_strings":["Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123396944","display_name":"Dan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Lin","raw_affiliation_strings":["Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States"],"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Department of Computer Science,Nashville,Tennessee,United States","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022957687"],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86263219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.26159998774528503,"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":0.26159998774528503,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.10540000349283218,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0778999999165535,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6376000046730042},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5392000079154968},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5224999785423279},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.5200999975204468},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.42260000109672546},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3864000141620636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009000182151794},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6376000046730042},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5392000079154968},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5224999785423279},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3066999912261963},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.28600001335144043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2777000069618225},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C201638289","wikidata":"https://www.wikidata.org/wiki/Q457396","display_name":"Ambient intelligence","level":2,"score":0.2678000032901764}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi66578.2025.11339332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi66578.2025.11339332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.43848639726638794}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2047346462","https://openalex.org/W2116341502","https://openalex.org/W2148154194","https://openalex.org/W2165880886","https://openalex.org/W2401315748","https://openalex.org/W2972786657","https://openalex.org/W3010845645","https://openalex.org/W3026777299","https://openalex.org/W3137382759","https://openalex.org/W3155956353","https://openalex.org/W3163596559","https://openalex.org/W3172744943","https://openalex.org/W3178193590","https://openalex.org/W3196368020","https://openalex.org/W3197014136","https://openalex.org/W3198529186","https://openalex.org/W3201506562","https://openalex.org/W3209552243","https://openalex.org/W3212117663","https://openalex.org/W4224932929","https://openalex.org/W4285105424","https://openalex.org/W4297238433","https://openalex.org/W4299806750","https://openalex.org/W4313855337","https://openalex.org/W4322761281","https://openalex.org/W4323022270","https://openalex.org/W4327500487","https://openalex.org/W4327519303","https://openalex.org/W4372260253","https://openalex.org/W4382119306","https://openalex.org/W4384787219","https://openalex.org/W4386784299","https://openalex.org/W4392902701","https://openalex.org/W4392902854","https://openalex.org/W4400097730","https://openalex.org/W4401437283","https://openalex.org/W4402115985","https://openalex.org/W4406803348","https://openalex.org/W4410087415","https://openalex.org/W4413679397"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,43],"generative":[3],"artificial":[4],"intelligence":[5],"have":[6,135],"enabled":[7],"the":[8,25,75,126,144],"creation":[9],"of":[10,19,27,40,81,128,148],"highly":[11],"realistic":[12],"synthetic":[13],"voices":[14,39],"which":[15],"raises":[16],"a":[17,103],"series":[18],"new":[20],"security":[21],"concerns.":[22],"These":[23],"include":[24],"spread":[26],"fake":[28,47,78],"audio":[29],"on":[30,51,102,139],"social":[31,34],"media":[32],"and":[33,63,114,146],"engineering":[35],"attacks":[36],"using":[37],"cloned":[38],"family":[41],"members":[42],"phone":[44],"calls.":[45],"State-of-the-art":[46],"voice":[48,79],"detectors":[49],"rely":[50],"large-scale":[52],"deep":[53],"neural":[54],"networks":[55],"such":[56],"as":[57,119],"transformer":[58],"models,":[59],"making":[60],"them":[61],"resource-intensive":[62],"less":[64],"accessible":[65],"to":[66,97,122,142],"everyday":[67],"users.":[68],"In":[69],"this":[70],"work,":[71],"we":[72],"propose":[73],"TrueEar,":[74],"first":[76],"lightweight":[77],"detector":[80],"its":[82],"kind.":[83],"TrueEar":[84,108],"is":[85,109],"over":[86],"1000":[87],"times":[88],"smaller":[89],"than":[90],"latest":[91],"detectors,":[92],"yet":[93],"it":[94],"achieves":[95],"up":[96],"99":[98],"%":[99],"accuracy.":[100],"Built":[101],"newly":[104],"designed":[105],"compact":[106],"architecture,":[107],"optimized":[110],"for":[111],"mobile":[112],"platforms":[113],"can":[115],"be":[116],"easily":[117],"deployed":[118],"an":[120],"app":[121],"help":[123],"users":[124],"verify":[125],"authenticity":[127],"incoming":[129],"calls":[130],"or":[131],"online":[132],"audio.":[133],"We":[134],"conducted":[136],"extensive":[137],"experiments":[138],"iOS":[140],"devices":[141],"demonstrate":[143],"efficiency":[145],"effectiveness":[147],"our":[149],"solution.":[150]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}