{"id":"https://openalex.org/W4388893647","doi":"https://doi.org/10.1109/wincom59760.2023.10323004","title":"Audio Deepfake Detection by using Machine and Deep Learning","display_name":"Audio Deepfake Detection by using Machine and Deep Learning","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388893647","doi":"https://doi.org/10.1109/wincom59760.2023.10323004"},"language":"en","primary_location":{"id":"doi:10.1109/wincom59760.2023.10323004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10323004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","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/A5046400017","display_name":"H. Hakan K\u0131l\u0131n\u00e7","orcid":"https://orcid.org/0000-0001-6610-6324"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"H. Hakan Kilinc","raw_affiliation_strings":["Orion Innovation Turkey, R&D Center,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Orion Innovation Turkey, R&D Center,İstanbul,Türkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084862478","display_name":"Faruk Kaledibi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faruk Kaledibi","raw_affiliation_strings":["Orion Innovation Turkey, R&D Center,İstanbul,Türkiye"],"affiliations":[{"raw_affiliation_string":"Orion Innovation Turkey, R&D Center,İstanbul,Türkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046400017"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2792,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95561815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8153399229049683},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.655788004398346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6501410603523254},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5893360376358032},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.5582825541496277},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5539042949676514},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5091187357902527},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4791940152645111},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4711909294128418},{"id":"https://openalex.org/keywords/sound-recording-and-reproduction","display_name":"Sound recording and reproduction","score":0.4549294710159302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3970595598220825},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3307077884674072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153399229049683},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.655788004398346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6501410603523254},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5893360376358032},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.5582825541496277},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5539042949676514},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5091187357902527},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4791940152645111},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4711909294128418},{"id":"https://openalex.org/C128422554","wikidata":"https://www.wikidata.org/wiki/Q20077126","display_name":"Sound recording and reproduction","level":2,"score":0.4549294710159302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3970595598220825},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3307077884674072},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom59760.2023.10323004","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom59760.2023.10323004","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2191779130","https://openalex.org/W2751841560","https://openalex.org/W2766812927","https://openalex.org/W2963658876","https://openalex.org/W2982436869","https://openalex.org/W3209546571","https://openalex.org/W4205858138","https://openalex.org/W4311591823","https://openalex.org/W4311591887","https://openalex.org/W4378974946","https://openalex.org/W4381786045","https://openalex.org/W4385466335","https://openalex.org/W6849891371"],"related_works":["https://openalex.org/W4254851101","https://openalex.org/W3171007296","https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2144773493","https://openalex.org/W2138847091"],"abstract_inverted_index":{"Fake":[0],"voices":[1,84],"are":[2,16,96,101],"one":[3],"of":[4,19],"the":[5,70,88,111,114],"hottest":[6],"topics":[7],"in":[8],"cyber":[9],"security,":[10],"forensics,":[11],"and":[12,30,51,64,77,105],"social":[13],"media.":[14],"There":[15],"a":[17],"variety":[18],"usage":[20],"scenarios,":[21],"from":[22],"speech":[23],"disorders":[24],"to":[25,28,47,81,110,118],"fake":[26,83],"news":[27],"telephone":[29],"financial":[31],"fraud.":[32],"With":[33],"products":[34],"using":[35,75,103],"artificial":[36],"intelligence":[37],"technology":[38],"such":[39],"as":[40],"Google":[41],"Audio":[42],"LM,":[43],"it":[44],"is":[45,85,116],"possible":[46],"produce":[48],"realistic,":[49],"well-structured,":[50],"consistent":[52],"sound":[53,115],"sequences.":[54],"These":[55],"products,":[56],"although":[57],"synthetic,":[58],"can":[59],"accurately":[60],"replicate":[61],"intonation,":[62],"accents,":[63],"other":[65],"unique":[66],"features":[67,100],"by":[68],"mimicking":[69],"human":[71],"voice.":[72],"A":[73],"solution":[74],"machine":[76,104],"deep":[78,106],"learning":[79],"methods":[80],"recognize":[82],"proposed.":[86],"In":[87],"feature":[89],"extraction":[90],"stage,":[91],"Mel-frequency":[92],"cepstral":[93],"coefficients":[94],"(MFCCs)":[95],"used.":[97],"Then":[98],"these":[99],"classified":[102],"learning-based":[107],"models.":[108],"According":[109],"results":[112],"obtained,":[113],"judged":[117],"be":[119],"real":[120],"or":[121],"fake.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}