{"id":"https://openalex.org/W4400908614","doi":"https://doi.org/10.1109/siu61531.2024.10601048","title":"Detecting Audio Forgery with Rasta -PLP","display_name":"Detecting Audio Forgery with Rasta -PLP","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908614","doi":"https://doi.org/10.1109/siu61531.2024.10601048"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10601048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","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/A5104971308","display_name":"Ali Hatipo\u011flu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ali Hatipo\u011flu","raw_affiliation_strings":["Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080"],"affiliations":[{"raw_affiliation_string":"Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036447788","display_name":"Beste \u00dcst\u00fcbio\u011flu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beste \u00dcst\u00fcbio\u011flu","raw_affiliation_strings":["Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080"],"affiliations":[{"raw_affiliation_string":"Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106442276","display_name":"Arda \u00dcst\u00fcb\u0131o\u011flu","orcid":"https://orcid.org/0000-0002-8656-8697"},"institutions":[{"id":"https://openalex.org/I4210102807","display_name":"Uni Research (Norway)","ror":"https://ror.org/016tr2j79","country_code":"NO","type":"company","lineage":["https://openalex.org/I4210102807"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Arda \u00dcst\u00fcbio\u011flu","raw_affiliation_strings":["Trabzon &#x00DC;niversitesi,Y&#x00F6;netim Bili&#x015F;im Sistemleri B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61335"],"affiliations":[{"raw_affiliation_string":"Trabzon &#x00DC;niversitesi,Y&#x00F6;netim Bili&#x015F;im Sistemleri B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61335","institution_ids":["https://openalex.org/I4210102807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082706838","display_name":"G\u00fczin Uluta\u015f","orcid":"https://orcid.org/0000-0001-5729-6613"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G\u00fczin Uluta\u015f","raw_affiliation_strings":["Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080"],"affiliations":[{"raw_affiliation_string":"Karadeniz Teknik &#x00DC;niversitesi,Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;,Trabzon,T&#x00FC;rkiye,61080","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104971308"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51124785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9628000259399414,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9628000259399414,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9383000135421753,"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":0.7208858728408813},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35347920656204224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208858728408813},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35347920656204224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10601048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10601048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Since":[0],"there":[1],"are":[2,121],"the":[3,9,38,48,52,54,65,69,73,79,90,100,105,108,142,156],"advanced":[4],"voice":[5,18,27,92],"editing":[6],"tools":[7],"provided,":[8],"forgery":[10,109,124],"of":[11,107],"digital":[12],"content":[13],"such":[14],"as":[15,123],"video":[16,24],"or":[17,25],"could":[19],"be":[20,29],"performed":[21],"and":[22,150],"fake":[23],"modified":[26],"can":[28],"generated":[30],"easly.":[31],"Many":[32],"methods":[33,154],"have":[34],"been":[35,130],"proposed":[36,66,127,143],"in":[37,51,72,155],"literature":[39],"to":[40,59,148,152],"detect":[41,60],"audio":[42,61,74],"forgery.":[43,63],"In":[44,64],"this":[45],"study,":[46,67],"for":[47,104],"first":[49,68],"time":[50],"literature,":[53],"RASTA-PLP":[55,88],"method":[56,128,144],"was":[57,97],"used":[58],"copy-paste":[62],"voiced":[70],"parts":[71],"signal":[75],"were":[76,85],"detected":[77,91],"using":[78],"pitch":[80],"method.":[81],"Afterward,":[82],"feature":[83,101],"vectors":[84,102],"extracted":[86],"with":[87],"from":[89],"segments.":[93,110,125],"The":[94,126],"correlation":[95,113],"value":[96,114,120],"calculated":[98],"between":[99],"obtained":[103],"detects":[106],"Segments":[111],"that":[112,141],"is":[115,145],"above":[116],"a":[117],"certain":[118],"threshold":[119],"marked":[122],"has":[129],"tested":[131],"on":[132],"two":[133],"different":[134],"data":[135],"sets.":[136],"Obtained":[137],"experimental":[138],"results":[139],"show":[140],"highly":[146],"robust":[147],"attacks":[149],"superior":[151],"other":[153],"literature.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
