{"id":"https://openalex.org/W7126029388","doi":"https://doi.org/10.48550/arxiv.2601.20510","title":"Audio Deepfake Detection in the Age of Advanced Text-to-Speech models","display_name":"Audio Deepfake Detection in the Age of Advanced Text-to-Speech models","publication_year":2026,"publication_date":"2026-01-28","ids":{"openalex":"https://openalex.org/W7126029388","doi":"https://doi.org/10.48550/arxiv.2601.20510"},"language":"en","primary_location":{"id":"pmh:doi:10.48550/arxiv.2601.20510","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124215975","display_name":"Robin Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singh, Robin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124161562","display_name":"Aditya Yogesh Nair","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nair, Aditya Yogesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124290363","display_name":"Fabio Palumbo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palumbo, Fabio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011262744","display_name":"Florian Barbaro","orcid":"https://orcid.org/0000-0003-0767-2670"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barbaro, Florian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055919060","display_name":"Anna Dyka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dyka, Anna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124248486","display_name":"Lohith Rachakonda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rachakonda, Lohith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0938081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.33230000734329224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.33230000734329224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.29030001163482666,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.15109999477863312,"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/detector","display_name":"Detector","score":0.38179999589920044},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.32190001010894775},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.27070000767707825},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.26510000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49470001459121704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4327999949455261},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.26510000228881836},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.24400000274181366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23970000445842743}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:doi:10.48550/arxiv.2601.20510","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:HAL:hal-05478173v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05478173","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2026","raw_type":"info:eu-repo/semantics/preprint"},{"id":"doi:10.48550/arxiv.2601.20510","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.20510","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2601.20510","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5644872784614563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,70],"Text-to-Speech":[3],"(TTS)":[4],"systems":[5],"have":[6],"substantially":[7],"increased":[8],"the":[9,50,109,116,124],"realism":[10],"of":[11,27,42,111,118,127],"synthetic":[12,44],"speech,":[13],"raising":[14],"new":[15],"challenges":[16],"for":[17],"audio":[18,45,128],"deepfake":[19,129],"detection.":[20],"This":[21],"work":[22],"presents":[23],"a":[24,91],"comparative":[25],"evaluation":[26],"three":[28],"state-of-the-art":[29],"TTS":[30,80],"models--Dia2,":[31],"Maya1,":[32],"and":[33,37,53,62,114],"MeloTTS--representing":[34],"streaming,":[35],"LLM-based,":[36],"non-autoregressive":[38],"architectures.":[39],"A":[40],"corpus":[41],"12,000":[43],"samples":[46],"was":[47],"generated":[48],"using":[49],"Daily-Dialog":[51],"dataset":[52],"evaluated":[54,104],"against":[55,78,84],"four":[56],"detection":[57,93,120],"frameworks,":[58],"including":[59],"semantic,":[60],"structural,":[61],"signal-level":[63],"approaches.":[64],"The":[65],"results":[66],"reveal":[67],"significant":[68],"variability":[69],"detector":[71],"performance":[72,101],"across":[73,102],"generative":[74],"mechanisms:":[75],"models":[76],"effective":[77],"one":[79],"architecture":[81],"may":[82],"fail":[83],"others,":[85],"particularly":[86],"LLM-based":[87],"synthesis.":[88],"In":[89],"contrast,":[90],"multi-view":[92],"approach":[94],"combining":[95],"complementary":[96],"analysis":[97],"levels":[98],"demonstrates":[99],"robust":[100],"all":[103],"models.":[105],"These":[106],"findings":[107],"highlight":[108],"limitations":[110],"single-paradigm":[112],"detectors":[113],"emphasize":[115],"necessity":[117],"integrated":[119],"strategies":[121],"to":[122],"address":[123],"evolving":[125],"landscape":[126],"threats.":[130]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-01-30T00:00:00"}