{"id":"https://openalex.org/W3015420010","doi":"https://doi.org/10.1109/icassp40776.2020.9053086","title":"Assessing the Scope of Generalized Countermeasures for Anti-Spoofing","display_name":"Assessing the Scope of Generalized Countermeasures for Anti-Spoofing","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015420010","doi":"https://doi.org/10.1109/icassp40776.2020.9053086","mag":"3015420010"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5029637694","display_name":"Rohan Kumar Das","orcid":"https://orcid.org/0000-0002-1332-3357"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Rohan Kumar Das","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001480103","display_name":"Jichen Yang","orcid":"https://orcid.org/0000-0002-4954-8398"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jichen Yang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032690182","display_name":"Haizhou Li","orcid":"https://orcid.org/0000-0001-9158-9401"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haizhou Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029637694"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":2.8502,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.9229772,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6589","last_page":"6593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9930999875068665,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9930999875068665,"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":0.9921000003814697,"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/T13289","display_name":"Infant Health and Development","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.9434093236923218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7450706362724304},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.7410478591918945},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.605574905872345},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5924893021583557},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.45358729362487793},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4182594418525696},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4131571054458618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37152424454689026},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.22283470630645752},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.20363035798072815}],"concepts":[{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.9434093236923218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7450706362724304},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.7410478591918945},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.605574905872345},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5924893021583557},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.45358729362487793},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4182594418525696},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4131571054458618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37152424454689026},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.22283470630645752},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.20363035798072815},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053086","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":39,"referenced_works":["https://openalex.org/W2076608692","https://openalex.org/W2112606109","https://openalex.org/W2123299109","https://openalex.org/W2154278880","https://openalex.org/W2176804518","https://openalex.org/W2260330803","https://openalex.org/W2295590090","https://openalex.org/W2303197844","https://openalex.org/W2403139431","https://openalex.org/W2407170210","https://openalex.org/W2565961899","https://openalex.org/W2588445447","https://openalex.org/W2590129515","https://openalex.org/W2686310949","https://openalex.org/W2745744274","https://openalex.org/W2745896134","https://openalex.org/W2748644398","https://openalex.org/W2750247660","https://openalex.org/W2799053639","https://openalex.org/W2806569010","https://openalex.org/W2807325376","https://openalex.org/W2889128543","https://openalex.org/W2891042661","https://openalex.org/W2922490899","https://openalex.org/W2936802426","https://openalex.org/W2963035245","https://openalex.org/W2963127219","https://openalex.org/W2963508548","https://openalex.org/W2964195110","https://openalex.org/W2967606780","https://openalex.org/W2972703466","https://openalex.org/W3007151378","https://openalex.org/W6676842452","https://openalex.org/W6685748340","https://openalex.org/W6697535213","https://openalex.org/W6713566751","https://openalex.org/W6731214713","https://openalex.org/W6751915824","https://openalex.org/W6752857352"],"related_works":["https://openalex.org/W2547760228","https://openalex.org/W3007059209","https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W4220832730","https://openalex.org/W2387604097","https://openalex.org/W4313224733","https://openalex.org/W4312120756","https://openalex.org/W2836844603","https://openalex.org/W3173366380"],"abstract_inverted_index":{"Most":[0],"of":[1,12,21,45,59,122,129],"the":[2,43,57,78,127],"research":[3],"on":[4,19],"anti-spoofing":[5],"countermeasures":[6,61,132],"are":[7,17],"specific":[8],"to":[9,55,106,125],"a":[10,22,53,114],"type":[11],"spoofing":[13,46],"attacks,":[14,75],"where":[15],"models":[16],"trained":[18],"data":[20],"particular":[23],"nature,":[24],"either":[25],"synthetic":[26,70],"or":[27],"replay.":[28],"However,":[29],"one":[30],"does":[31],"not":[32],"have":[33],"such":[34,82],"leverage":[35],"as":[36,71,73,110],"there":[37,51],"is":[38,52,117],"no":[39],"prior":[40],"knowledge":[41],"about":[42],"kind":[44],"attack":[47],"in":[48,133],"practice.":[49],"Therefore,":[50],"requirement":[54],"assess":[56,107],"scope":[58,109],"generalized":[60,111,131],"for":[62,81],"anti-spoofing.":[63],"The":[64],"ASVspoof":[65,123],"2019":[66],"challenge":[67],"covers":[68],"both":[69],"well":[72],"replay":[74],"which":[76],"makes":[77],"database":[79],"suitable":[80],"study.":[83],"In":[84],"this":[85],"work,":[86],"we":[87],"consider":[88],"widely":[89],"popular":[90],"constant-Q":[91],"cepstral":[92],"coefficient":[93],"features":[94],"along":[95],"with":[96],"two":[97],"other":[98],"promising":[99],"front-ends":[100],"that":[101],"capture":[102],"long-term":[103],"signal":[104],"characteristics":[105],"their":[108],"countermeasures.":[112],"Additionally,":[113],"comprehensive":[115],"study":[116],"made":[118],"across":[119],"different":[120],"editions":[121],"corpora":[124],"highlight":[126],"need":[128],"robust":[130],"unseen":[134],"conditions.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}