{"id":"https://openalex.org/W7161703912","doi":"https://doi.org/10.48550/arxiv.2605.17737","title":"Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection","display_name":"Profiling the Voice: Speaker-Specific Phoneme Fingerprinting for Speech Deepfake Detection","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161703912","doi":"https://doi.org/10.48550/arxiv.2605.17737"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.17737","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17737","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.17737","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136480091","display_name":"Jun Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Jun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136466209","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-9796-656X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Tong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124403526","display_name":"Zhuolin Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Zhuolin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136477692","display_name":"Yihuan Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yihuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136496022","display_name":"Yi Chai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chai, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136496139","display_name":"Yiyang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yiyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136480116","display_name":"Yanzhen Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Yanzhen","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.906499981880188,"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":0.906499981880188,"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":0.024900000542402267,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.009499999694526196,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8597999811172485},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7407000064849854},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.5116999745368958},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.503000020980835},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.40130001306533813},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.38040000200271606},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.36399999260902405},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.3312000036239624}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8597999811172485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7696999907493591},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7407000064849854},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.5116999745368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052000284194946},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.40130001306533813},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3926999866962433},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.38040000200271606},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.17737","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17737","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.17737","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.17737","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.638292133808136,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"rapid":[1],"advancement":[2],"of":[3],"generative":[4],"AI":[5],"has":[6],"made":[7],"audio":[8],"deepfakes":[9],"increasingly":[10],"indistinguishable":[11],"from":[12,64,97],"authentic":[13],"human":[14],"vocals,":[15],"posing":[16],"significant":[17],"threats":[18],"to":[19,37,67,110,130],"persons-of-interest":[20],"(POI)":[21],"such":[22],"as":[23],"public":[24],"figures.":[25],"Current":[26],"detection":[27,62],"systems":[28],"primarily":[29],"rely":[30],"on":[31],"generic,":[32],"black-box":[33],"models":[34,85],"that":[35,137],"fail":[36],"capture":[38],"speaker-specific":[39,86,132],"idiosyncratic":[40],"traits":[41],"and":[42,107,161],"lack":[43],"interpretability.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,121],"propose":[49],"Phoneme-based":[50],"Voice":[51],"Profiling":[52],"(PVP),":[53],"a":[54,77],"novel":[55],"personalized":[56],"defense":[57],"framework.":[58],"By":[59],"shifting":[60],"the":[61,72,123],"paradigm":[63],"macro-utterance":[65],"analysis":[66],"micro-phonetic":[68],"modeling,":[69],"PVP":[70,138],"captures":[71],"unique":[73],"acoustic":[74],"distributions":[75],"underlying":[76],"POI's":[78],"habitual":[79],"articulatory":[80],"patterns.":[81],"Specifically,":[82],"our":[83],"framework":[84],"phonetic":[87],"realizations":[88],"using":[89],"lightweight":[90],"Gaussian":[91],"Mixture":[92],"Models":[93],"(GMMs)":[94],"estimated":[95],"solely":[96],"bona":[98],"fide":[99],"reference":[100],"speech.":[101],"This":[102],"design":[103],"enables":[104],"data-efficient":[105],"profiling":[106],"robust":[108],"generalization":[109],"previously":[111],"unseen":[112],"spoofing":[113,146],"attacks":[114],"without":[115],"requiring":[116],"heavy":[117],"spoof-specific":[118],"training.":[119],"Furthermore,":[120],"introduce":[122],"first":[124],"large-scale":[125],"Chinese":[126],"POI":[127,145],"deepfake":[128],"dataset":[129],"benchmark":[131],"detection.":[133],"Experimental":[134],"results":[135],"demonstrate":[136],"significantly":[139],"outperforms":[140],"state-of-the-art":[141],"generic":[142],"detectors":[143],"in":[144],"scenarios,":[147],"achieving":[148],"substantial":[149],"EER":[150],"reductions":[151],"while":[152],"providing":[153],"fine-grained,":[154],"phoneme-level":[155],"interpretability":[156],"for":[157],"forensic":[158],"analysis.":[159],"Code":[160],"data":[162],"are":[163],"available":[164],"at:":[165],"https://github.com/JunXue-tech/PVP":[166]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}