{"id":"https://openalex.org/W4405709596","doi":"https://doi.org/10.1109/iscslp63861.2024.10800535","title":"MADD: A Multi-Lingual Multi-Speaker Audio Deepfake Detection Dataset","display_name":"MADD: A Multi-Lingual Multi-Speaker Audio Deepfake Detection Dataset","publication_year":2024,"publication_date":"2024-11-07","ids":{"openalex":"https://openalex.org/W4405709596","doi":"https://doi.org/10.1109/iscslp63861.2024.10800535"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp63861.2024.10800535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5090295282","display_name":"Xiaoke Qi","orcid":"https://orcid.org/0000-0003-2776-3297"},"institutions":[{"id":"https://openalex.org/I177955009","display_name":"China University of Political Science and Law","ror":"https://ror.org/00e49gy82","country_code":"CN","type":"education","lineage":["https://openalex.org/I177955009"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoke Qi","raw_affiliation_strings":["School of Information Management for Law, China University of Political Science and Law,Beijing"],"affiliations":[{"raw_affiliation_string":"School of Information Management for Law, China University of Political Science and Law,Beijing","institution_ids":["https://openalex.org/I177955009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101361643","display_name":"Hao Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Gu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078525423","display_name":"Jiangyan Yi","orcid":"https://orcid.org/0000-0003-2422-4618"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangyan Yi","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100744502","display_name":"Jianhua Tao","orcid":"https://orcid.org/0000-0002-0477-587X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Tao","raw_affiliation_strings":["Tsinghua University,Department of Automation,Beijing"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,Beijing","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109525927","display_name":"Yong Ren","orcid":"https://orcid.org/0009-0000-9015-000X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Ren","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001846517","display_name":"Jiayi He","orcid":"https://orcid.org/0009-0001-1461-5714"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi He","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111226573","display_name":"Siding Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siding Zeng","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences,Beijing"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences,Beijing","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5090295282"],"corresponding_institution_ids":["https://openalex.org/I177955009"],"apc_list":null,"apc_paid":null,"fwci":1.6949,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85950413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"466","last_page":"470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9923999905586243,"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":0.9923999905586243,"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":0.9776999950408936,"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/T13996","display_name":"Diverse Musicological Studies","score":0.9376000165939331,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8375256061553955},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6062821745872498},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43700236082077026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36660701036453247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8375256061553955},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6062821745872498},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43700236082077026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36660701036453247}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp63861.2024.10800535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp63861.2024.10800535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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":33,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W2519091744","https://openalex.org/W2936802426","https://openalex.org/W2937579788","https://openalex.org/W2946555236","https://openalex.org/W2962896155","https://openalex.org/W2963300588","https://openalex.org/W2964243274","https://openalex.org/W2989571531","https://openalex.org/W3096567388","https://openalex.org/W3196774886","https://openalex.org/W4221138880","https://openalex.org/W4297841787","https://openalex.org/W4313306150","https://openalex.org/W4372260053","https://openalex.org/W4381198892","https://openalex.org/W4394019163","https://openalex.org/W4402351686","https://openalex.org/W6745289305","https://openalex.org/W6754473786","https://openalex.org/W6767111847","https://openalex.org/W6771467084","https://openalex.org/W6777694618","https://openalex.org/W6778823374","https://openalex.org/W6783867762","https://openalex.org/W6796464841","https://openalex.org/W6799089041","https://openalex.org/W6799942944","https://openalex.org/W6803547063","https://openalex.org/W6852755086","https://openalex.org/W6852909395","https://openalex.org/W6866143339","https://openalex.org/W6869464304"],"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/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"AI-driven":[0],"advancements":[1],"in":[2],"speech":[3,84],"synthesis":[4,85,102],"and":[5,23,31,44,79,86],"voice":[6,87],"conversion,":[7],"now":[8],"are":[9,74],"able":[10],"to":[11,27],"convincingly":[12],"emulate":[13],"human":[14],"speech,":[15],"have":[16,60],"made":[17],"a":[18,42,62,97,105],"growing":[19],"challenge":[20],"for":[21,53],"investigators":[22],"the":[24,93],"judicial":[25],"system":[26],"discern":[28],"between":[29],"genuine":[30],"artificially":[32],"generated":[33],"audio.":[34],"Creating":[35],"an":[36],"effective":[37],"audio":[38,65],"deepfake":[39],"detector":[40],"necessitates":[41],"large-scale":[43],"high-quality":[45],"data.":[46],"Existing":[47],"datasets":[48],"focus":[49],"on":[50],"monolingual":[51],"data":[52],"high-resource":[54],"languages.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"constructed":[61],"multi-lingual":[63],"multi-speaker":[64],"deep-fake":[66],"dataset,":[67],"named":[68],"MADD.":[69],"The":[70],"sources":[71],"of":[72,99,108],"MADD":[73,94],"de-rived":[75],"from":[76,111],"Common":[77],"Voice":[78],"Gigaspeech2.":[80],"Leveraging":[81],"var-ious":[82],"deep":[83,101],"conversion":[88],"technologies":[89],"across":[90],"6":[91],"languages,":[92],"dataset":[95],"comprises":[96],"collection":[98],"129,990":[100],"utterances,":[103],"with":[104],"total":[106],"duration":[107],"155.66":[109],"hours":[110],"288":[112],"speakers.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}