{"id":"https://openalex.org/W4372260253","doi":"https://doi.org/10.1109/icassp49357.2023.10096741","title":"Graph-Based Spectro-Temporal Dependency Modeling for Anti-Spoofing","display_name":"Graph-Based Spectro-Temporal Dependency Modeling for Anti-Spoofing","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260253","doi":"https://doi.org/10.1109/icassp49357.2023.10096741"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5100352703","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0002-4508-5963"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Chen","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087019132","display_name":"Shiwen Deng","orcid":"https://orcid.org/0000-0001-8964-3165"},"institutions":[{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwen Deng","raw_affiliation_strings":["Harbin Normal University,School of Mathematical Science,China","School of Mathematical Science, Harbin Normal University, China"],"affiliations":[{"raw_affiliation_string":"Harbin Normal University,School of Mathematical Science,China","institution_ids":["https://openalex.org/I134052481"]},{"raw_affiliation_string":"School of Mathematical Science, Harbin Normal University, China","institution_ids":["https://openalex.org/I134052481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846141","display_name":"Tieran Zheng","orcid":"https://orcid.org/0009-0006-5179-0278"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieran Zheng","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026346396","display_name":"Yongjun He","orcid":"https://orcid.org/0000-0002-5156-651X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun He","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101508830","display_name":"Jiqing Han","orcid":"https://orcid.org/0000-0002-4297-4300"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiqing Han","raw_affiliation_strings":["Harbin Institute of Technology,School of Computer Science and Technology,China","School of Computer Science and Technology, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100352703"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":4.021,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.94973664,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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":0.9990000128746033,"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/T10860","display_name":"Speech and Audio Processing","score":0.9843999743461609,"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/T11309","display_name":"Music and Audio Processing","score":0.9814000129699707,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7915703654289246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527822256088257},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7421413064002991},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6805776357650757},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6204599142074585},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5620507001876831},{"id":"https://openalex.org/keywords/dependency-graph","display_name":"Dependency graph","score":0.5204901099205017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187597274780273},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.48187264800071716},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.46966564655303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4289230704307556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3649574816226959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36417338252067566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13747990131378174},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13688170909881592}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7915703654289246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527822256088257},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7421413064002991},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6805776357650757},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6204599142074585},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5620507001876831},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.5204901099205017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187597274780273},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48187264800071716},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.46966564655303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4289230704307556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3649574816226959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36417338252067566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13747990131378174},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13688170909881592},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2799053639","https://openalex.org/W2907492528","https://openalex.org/W2936774411","https://openalex.org/W2936802426","https://openalex.org/W2963508548","https://openalex.org/W2967606780","https://openalex.org/W2990833974","https://openalex.org/W3016021376","https://openalex.org/W3025210871","https://openalex.org/W3026777299","https://openalex.org/W3097670835","https://openalex.org/W3127781933","https://openalex.org/W3128666957","https://openalex.org/W3131786367","https://openalex.org/W3132550238","https://openalex.org/W3158663310","https://openalex.org/W3162387328","https://openalex.org/W3168707441","https://openalex.org/W3170179936","https://openalex.org/W3196897556","https://openalex.org/W3197014136","https://openalex.org/W3197134965","https://openalex.org/W3197184958","https://openalex.org/W3197934651","https://openalex.org/W3198329097","https://openalex.org/W3198486673","https://openalex.org/W3200167423","https://openalex.org/W3201197228","https://openalex.org/W3201773091","https://openalex.org/W3206191467","https://openalex.org/W3212117663","https://openalex.org/W4224037534","https://openalex.org/W4225854381","https://openalex.org/W4285483774","https://openalex.org/W4296068612","https://openalex.org/W4296068826","https://openalex.org/W4297841635","https://openalex.org/W4297841832","https://openalex.org/W4390912423","https://openalex.org/W6726873649","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W2327631927","https://openalex.org/W2093568763","https://openalex.org/W1985166372","https://openalex.org/W2003096546","https://openalex.org/W2430210575","https://openalex.org/W4289354592","https://openalex.org/W2165069859","https://openalex.org/W2099112646","https://openalex.org/W2626477053","https://openalex.org/W2342550845"],"abstract_inverted_index":{"A":[0],"great":[1],"deal":[2],"of":[3,24,105,173],"recent":[4],"research":[5],"reveals":[6],"that":[7],"artifacts":[8],"introduced":[9,154],"by":[10,30,129],"spoofing":[11,25,53],"algorithms":[12],"reside":[13],"in":[14,56,65,155],"specific":[15,100],"frequency":[16],"subbands":[17],"or":[18],"temporal":[19],"segments.":[20],"Therefore,":[21],"the":[22,40,66,70,77,94,102,106,120,127,131,139,156,176],"performance":[23],"detection":[26,41,107],"can":[27,109],"be":[28,110],"improved":[29],"focusing":[31,92],"on":[32,93,161,175],"these":[33],"regions.":[34],"However,":[35],"it":[36,49,88],"is":[37,61,153],"difficult":[38],"for":[39,89],"system":[42,108],"to":[43,86,118,141,145,159],"choose":[44],"an":[45,51,150,169],"appropriate":[46],"region":[47],"when":[48],"encounters":[50],"unknown":[52],"algorithm,":[54],"resulting":[55],"poor":[57],"generalization.":[58],"Actually,":[59],"there":[60],"a":[62,84,114],"noticeable":[63],"difference":[64,97],"inter-region":[67,78],"relationship":[68,79],"between":[69],"bonafide":[71],"and":[72,82,122,134,181],"spoofed":[73],"speeches.":[74],"We":[75,112],"name":[76],"spectro-temporal":[80],"dependency":[81,96,121],"design":[83],"method":[85,167],"model":[87,119],"anti-spoofing.":[90],"By":[91],"general":[95],"rather":[98],"than":[99],"regions,":[101],"generalization":[103],"ability":[104],"improved.":[111],"employ":[113],"graph":[115,128,132,157],"neural":[116],"network":[117,140],"incorporate":[123],"prior":[124],"knowledge":[125],"into":[126],"designing":[130],"structure":[133],"edge":[135],"weight,":[136],"which":[137],"forces":[138],"pay":[142],"more":[143,162],"attention":[144,151],"potential":[146],"relationships.":[147],"In":[148],"addition,":[149],"mechanism":[152],"pooling":[158],"focus":[160],"critical":[163],"nodes.":[164],"The":[165],"proposed":[166],"achieves":[168],"equal":[170],"error":[171],"rate":[172],"0.58%":[174],"ASVspoof":[177],"2019":[178],"LA":[179],"dataset":[180],"outperforms":[182],"all":[183],"competing":[184],"systems.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
