{"id":"https://openalex.org/W4406859204","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10848893","title":"Teager Energy Cepstral Coefficients for Audio Deepfake Detection","display_name":"Teager Energy Cepstral Coefficients for Audio Deepfake Detection","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406859204","doi":"https://doi.org/10.1109/apsipaasc63619.2025.10848893"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc63619.2025.10848893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10848893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5116046551","display_name":"Ritik Mahyavanshi","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ritik Mahyavanshi","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080200557","display_name":"Chaitanya Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C.V. Mahesh Reddy","raw_affiliation_strings":["Koneru Lakshmaiah Education Foundation,Hyderabad,Telangana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koneru Lakshmaiah Education Foundation,Hyderabad,Telangana","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Arth J. Shah","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arth J. Shah","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dhirubhai Ambani Institute of Information and Communication Technology,Gujarat,India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2514,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82222449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9569000005722046,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9569000005722046,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9251999855041504,"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/computer-science","display_name":"Computer science","score":0.6876826286315918},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6779272556304932},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6594696044921875},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.58567214012146},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5211389064788818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36332279443740845},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2059515416622162},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.20259416103363037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1676320731639862}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876826286315918},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6779272556304932},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6594696044921875},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.58567214012146},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5211389064788818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36332279443740845},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2059515416622162},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.20259416103363037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1676320731639862}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc63619.2025.10848893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc63619.2025.10848893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2016730668","https://openalex.org/W2936361941","https://openalex.org/W2989571531","https://openalex.org/W3213515747","https://openalex.org/W4214556326","https://openalex.org/W4224256913","https://openalex.org/W4293092748","https://openalex.org/W4296069136","https://openalex.org/W4312743281","https://openalex.org/W4385822347","https://openalex.org/W4388740187","https://openalex.org/W4392910532","https://openalex.org/W6810452453"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W4385672897","https://openalex.org/W2736574136","https://openalex.org/W2373675101","https://openalex.org/W2038216521","https://openalex.org/W106160982","https://openalex.org/W894828327","https://openalex.org/W2136559180"],"abstract_inverted_index":{"Audio":[0],"deepfakes":[1],"have":[2],"emerged":[3],"as":[4,8,136],"a":[5,45,72],"significant":[6,153],"concern,":[7],"these":[9],"convincingly":[10],"mimicked":[11],"synthetic":[12],"audio":[13,51,68],"and":[14,115,142],"can":[15],"be":[16],"exploited":[17],"to":[18],"manipulate":[19],"targeted":[20],"groups":[21],"by":[22],"altering":[23],"speech":[24],"information.":[25],"No":[26],"prior":[27],"research":[28,160],"has":[29],"explored":[30],"the":[31,64,83,91,100,152],"use":[32],"of":[33,67,102,111,118,155],"Teager":[34,56],"Energy":[35,57],"Operator":[36],"(TEO)-based":[37],"features":[38,131,157],"for":[39,48,75,158],"ADD":[40],"task.":[41],"This":[42,148],"paper":[43],"discusses":[44],"novel":[46],"technique":[47],"distinguishing":[49],"deepfake":[50,79,162],"from":[52],"real":[53,77],"ones":[54],"using":[55],"Cepstral":[58,139,145],"Coefficients":[59,140,146],"(TECC)":[60],"features,":[61],"which":[62],"captures":[63],"energy":[65],"fluctuations":[66],"signals,":[69],"making":[70],"it":[71],"promising":[73],"approach":[74],"detecting":[76],"vs.":[78],"audio.":[80],"For":[81],"classification,":[82],"ResNet-50":[84],"model":[85],"is":[86],"employed":[87],"in":[88,161],"combination":[89],"with":[90],"FoR":[92],"(Fake":[93],"or":[94],"Real)":[95],"dataset.":[96],"Experimental":[97],"results":[98],"demonstrate":[99],"efficacy":[101],"this":[103],"method,":[104],"achieving":[105],"an":[106,116],"Equal":[107],"Error":[108],"Rate":[109],"(EER)":[110],"approximately":[112],"7.53":[113],"%":[114,120],"accuracy":[117],"92.55":[119],"on":[121],"static":[122],"TECC":[123,130,156],"feature":[124],"sets.":[125],"The":[126],"findings":[127],"indicate":[128],"that":[129],"outperform":[132],"traditional":[133],"techniques,":[134],"such":[135],"Mel":[137],"Frequency":[138,144],"(MFCC),":[141],"Linear":[143],"(LFCC).":[147],"superior":[149],"performance":[150],"highlights":[151],"potential":[154],"further":[159],"detection.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
