{"id":"https://openalex.org/W4414140927","doi":"https://doi.org/10.1109/icmew68306.2025.11152048","title":"FSD 2.0: Improved Fake Song Dataset for Unknown-domain Deepfake Detection","display_name":"FSD 2.0: Improved Fake Song Dataset for Unknown-domain Deepfake Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4414140927","doi":"https://doi.org/10.1109/icmew68306.2025.11152048"},"language":"en","primary_location":{"id":"doi:10.1109/icmew68306.2025.11152048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5091061160","display_name":"Haonan Cheng","orcid":"https://orcid.org/0000-0002-8321-0841"},"institutions":[{"id":"https://openalex.org/I4210156066","display_name":"State Key Laboratory of Chemical Engineering","ror":"https://ror.org/05803vc71","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156066"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haonan Cheng","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Audio & Video"],"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Audio & Video","institution_ids":["https://openalex.org/I4210156066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039560771","display_name":"Hongfei Wang","orcid":"https://orcid.org/0000-0002-7028-7604"},"institutions":[{"id":"https://openalex.org/I4210156066","display_name":"State Key Laboratory of Chemical Engineering","ror":"https://ror.org/05803vc71","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Wang","raw_affiliation_strings":["Communication University of China,State Key Laboratory of Media Audio & Video"],"affiliations":[{"raw_affiliation_string":"Communication University of China,State Key Laboratory of Media Audio & Video","institution_ids":["https://openalex.org/I4210156066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113347961","display_name":"Lingxiao Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lingxiao Niu","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuanyuan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060898595","display_name":"Zhenghao Jiang","orcid":"https://orcid.org/0009-0001-4705-9259"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhenghao Jiang","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082703411","display_name":"Xiaoping Hou","orcid":"https://orcid.org/0000-0001-6169-3443"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaoping Hou","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058117215","display_name":"Xiaodan Hao","orcid":"https://orcid.org/0000-0002-4611-8325"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaojie Hao","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004483608","display_name":"Yuxin Shen","orcid":"https://orcid.org/0000-0003-2061-4184"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuxin Shen","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600271","display_name":"Long Ye","orcid":"https://orcid.org/0000-0002-3562-5612"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Long Ye","raw_affiliation_strings":["Communication University of China,The School of Data Science and Intelligent Media"],"affiliations":[{"raw_affiliation_string":"Communication University of China,The School of Data Science and Intelligent Media","institution_ids":["https://openalex.org/I4210153682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5091061160"],"corresponding_institution_ids":["https://openalex.org/I4210156066"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23996029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9937999844551086,"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":0.9937999844551086,"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/T11309","display_name":"Music and Audio Processing","score":0.9919000267982483,"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":0.9689000248908997,"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/focus","display_name":"Focus (optics)","score":0.6553000211715698},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4925000071525574},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4666000008583069},{"id":"https://openalex.org/keywords/singing","display_name":"Singing","score":0.4359999895095825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32839998602867126},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.32659998536109924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021999955177307},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6553000211715698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5821999907493591},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4666000008583069},{"id":"https://openalex.org/C44819458","wikidata":"https://www.wikidata.org/wiki/Q27939","display_name":"Singing","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33410000801086426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32839998602867126},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew68306.2025.11152048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1531333757","https://openalex.org/W1959608418","https://openalex.org/W1970238740","https://openalex.org/W1973965874","https://openalex.org/W2034355442","https://openalex.org/W2059322891","https://openalex.org/W2581042755","https://openalex.org/W2902070858","https://openalex.org/W2937242376","https://openalex.org/W2963539064","https://openalex.org/W3016007107","https://openalex.org/W3034302232","https://openalex.org/W3081279708","https://openalex.org/W3082910224","https://openalex.org/W3094253649","https://openalex.org/W3095948607","https://openalex.org/W3128666957","https://openalex.org/W3131786367","https://openalex.org/W3158762648","https://openalex.org/W3198123200","https://openalex.org/W3210530853","https://openalex.org/W4221138880","https://openalex.org/W4281736089","https://openalex.org/W4296068763","https://openalex.org/W4372260250","https://openalex.org/W4372338328","https://openalex.org/W4382371735","https://openalex.org/W4386875722","https://openalex.org/W4387323811","https://openalex.org/W4387665604","https://openalex.org/W4390190421","https://openalex.org/W4390929260","https://openalex.org/W4392903271","https://openalex.org/W4392908976","https://openalex.org/W4392909814","https://openalex.org/W4402351913","https://openalex.org/W4405010857","https://openalex.org/W4406138340","https://openalex.org/W4406461839"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"With":[0],"the":[1,93,100],"enhancement":[2],"of":[3],"song":[4,18,59],"synthesis":[5],"technology,":[6],"singing":[7,106],"deepfake":[8],"detection":[9,19,86],"have":[10],"emerged":[11],"as":[12],"critical":[13],"research":[14],"domains.":[15],"Current":[16],"fake":[17,58],"methods":[20,34],"demonstrate":[21],"promising":[22],"performance":[23],"in":[24,30,42,65,83],"controlled":[25],"environments,":[26],"with":[27,89],"high":[28],"accuracy":[29],"seen-domain.":[31],"However,":[32],"these":[33],"do":[35],"not":[36],"focus":[37],"on":[38,77,92],"unknown":[39,84],"domains,":[40],"resulting":[41],"poor":[43],"adaptability":[44],"to":[45,103],"new":[46],"conditions.":[47],"To":[48],"address":[49],"this":[50],"limitation,":[51],"we":[52],"introduce":[53],"FSD":[54,78,95],"2.0,":[55],"a":[56],"novel":[57],"dataset":[60],"that":[61,74],"surpasses":[62],"existing":[63],"resources":[64],"scale,":[66],"diversity,":[67],"and":[68,110],"methodological":[69],"coverage.":[70],"Our":[71],"experiments":[72],"indicate":[73],"models":[75],"trained":[76,90],"2.0":[79],"achieve":[80],"48%":[81],"improvement":[82],"domain":[85],"scenarios,":[87],"compared":[88],"solely":[91],"original":[94],"dataset.":[96],"These":[97],"results":[98],"advance":[99],"field\u2019s":[101],"capability":[102],"identify":[104],"synthetic":[105],"voices":[107],"across":[108],"diverse":[109],"previously":[111],"unseen":[112],"contexts.":[113]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}