{"id":"https://openalex.org/W2973181078","doi":"https://doi.org/10.21437/interspeech.2019-1794","title":"ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks","display_name":"ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual Networks","publication_year":2019,"publication_date":"2019-09-13","ids":{"openalex":"https://openalex.org/W2973181078","doi":"https://doi.org/10.21437/interspeech.2019-1794","mag":"2973181078"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2019-1794","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-1794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","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/A5010825170","display_name":"Cheng-I Lai","orcid":"https://orcid.org/0000-0002-2343-8596"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cheng-I Lai","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071702566","display_name":"Nanxin Chen","orcid":"https://orcid.org/0000-0001-6698-1604"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nanxin Chen","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057010207","display_name":"Jes\u00fas Villalba","orcid":"https://orcid.org/0000-0001-9459-8426"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jes\u00fas Villalba","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050632169","display_name":"Najim Dehak","orcid":"https://orcid.org/0000-0002-4489-5753"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Najim Dehak","raw_affiliation_strings":["Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010825170"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":11.1251,"has_fulltext":false,"cited_by_count":151,"citation_normalized_percentile":{"value":0.9866637,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1013","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9977999925613403,"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/T10028","display_name":"Topic Modeling","score":0.9417999982833862,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9218000173568726,"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/residual","display_name":"Residual","score":0.7442519664764404},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.564701497554779},{"id":"https://openalex.org/keywords/excitation","display_name":"Excitation","score":0.518217146396637},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5147547721862793},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.32887834310531616},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14180806279182434},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13339707255363464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.123329758644104}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7442519664764404},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.564701497554779},{"id":"https://openalex.org/C83581075","wikidata":"https://www.wikidata.org/wiki/Q1361503","display_name":"Excitation","level":2,"score":0.518217146396637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5147547721862793},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.32887834310531616},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14180806279182434},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13339707255363464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.123329758644104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2019-1794","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2019-1794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2019","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1507099578","https://openalex.org/W1524333225","https://openalex.org/W2072473772","https://openalex.org/W2112606109","https://openalex.org/W2123299109","https://openalex.org/W2138878452","https://openalex.org/W2150769028","https://openalex.org/W2150962366","https://openalex.org/W2170088868","https://openalex.org/W2176804518","https://openalex.org/W2194775991","https://openalex.org/W2295634712","https://openalex.org/W2303197844","https://openalex.org/W2340176088","https://openalex.org/W2405506115","https://openalex.org/W2533075636","https://openalex.org/W2548055032","https://openalex.org/W2747024632","https://openalex.org/W2747872086","https://openalex.org/W2785659390","https://openalex.org/W2799053639","https://openalex.org/W2803805378","https://openalex.org/W2806569010","https://openalex.org/W2807325376","https://openalex.org/W2807633153","https://openalex.org/W2888989492","https://openalex.org/W2888992773","https://openalex.org/W2889084898","https://openalex.org/W2890964092","https://openalex.org/W2894365374","https://openalex.org/W2963077989","https://openalex.org/W2963840672","https://openalex.org/W2964002811","https://openalex.org/W4309845474","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2998478967","https://openalex.org/W2188559950","https://openalex.org/W2989910292","https://openalex.org/W3128793638","https://openalex.org/W2123299109","https://openalex.org/W2021230337","https://openalex.org/W2895823926","https://openalex.org/W2972676112"],"abstract_inverted_index":{"We":[0],"present":[1],"JHU's":[2],"system":[3,75],"submission":[4],"to":[5,34,63],"the":[6,24,27,78,93,99,118,122,132],"ASVspoof":[7,28,31,100],"2019":[8,32,101],"Challenge:":[9],"Anti-Spoofing":[10],"with":[11],"Squeeze-Excitation":[12],"and":[13,20,30,45,74,85,103,113,136],"Residual":[14],"neTworks":[15],"(ASSERT).Anti-spoofing":[16],"has":[17,65],"gathered":[18],"more":[19,21,110],"attention":[22],"since":[23],"inauguration":[25],"of":[26,83,92,95,131],"Challenges,":[29],"dedicates":[33],"address":[35],"attacks":[36],"from":[37],"all":[38],"three":[39],"major":[40],"types:":[41],"text-to-speech,":[42],"voice":[43],"conversion,":[44],"replay.Built":[46],"upon":[47],"previous":[48],"research":[49],"work":[50],"on":[51,98],"Deep":[52],"Neural":[53],"Network":[54],"(DNN),":[55],"ASSERT":[56,108,129],"is":[57],"a":[58],"pipeline":[59],"for":[60],"DNN-based":[61],"approach":[62],"anti-spoofing.ASSERT":[64],"four":[66],"components:":[67],"feature":[68],"engineering,":[69],"DNN":[70,79],"models,":[71],"network":[72],"optimization":[73],"combination,":[76],"where":[77],"models":[80,138],"are":[81],"variants":[82],"squeeze-excitation":[84],"residual":[86],"networks.We":[87],"conducted":[88],"an":[89],"ablation":[90],"study":[91],"effectiveness":[94],"each":[96],"component":[97],"corpus,":[102],"experimental":[104],"results":[105],"showed":[106],"that":[107],"obtained":[109],"than":[111],"93%":[112],"17%":[114],"relative":[115],"improvements":[116],"over":[117],"baseline":[119],"systems":[120],"in":[121,125],"two":[123],"sub-challenges":[124],"ASVspooof":[126],"2019,":[127],"ranking":[128],"one":[130],"top":[133],"performing":[134],"systems.Code":[135],"pretrained":[137],"will":[139],"be":[140],"made":[141],"publicly":[142],"available.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
