{"id":"https://openalex.org/W3033761581","doi":"https://doi.org/10.1109/taslp.2020.2998870","title":"Audio Replay Spoof Attack Detection by Joint Segment-Based Linear Filter Bank Feature Extraction and Attention-Enhanced DenseNet-BiLSTM Network","display_name":"Audio Replay Spoof Attack Detection by Joint Segment-Based Linear Filter Bank Feature Extraction and Attention-Enhanced DenseNet-BiLSTM Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033761581","doi":"https://doi.org/10.1109/taslp.2020.2998870","mag":"3033761581"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2020.2998870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.2998870","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5086321795","display_name":"Lian Huang","orcid":"https://orcid.org/0000-0001-9222-9053"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Lian Huang","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-9222-9053","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005772506","display_name":"Chi\u2010Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-1788-3746","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":4.5631,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.95610132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"1813","last_page":"1825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.8328410983085632},{"id":"https://openalex.org/keywords/spoofing-attack","display_name":"Spoofing attack","score":0.7511026859283447},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.743869423866272},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.6195805072784424},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5138319134712219},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4724940359592438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676489531993866},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.456408828496933},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45043304562568665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43774017691612244},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4324020743370056},{"id":"https://openalex.org/keywords/filter-bank","display_name":"Filter bank","score":0.4219835102558136},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3096494674682617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14984002709388733},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.0894988477230072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8328410983085632},{"id":"https://openalex.org/C167900197","wikidata":"https://www.wikidata.org/wiki/Q11081100","display_name":"Spoofing attack","level":2,"score":0.7511026859283447},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.743869423866272},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.6195805072784424},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5138319134712219},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4724940359592438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676489531993866},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.456408828496933},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45043304562568665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43774017691612244},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4324020743370056},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.4219835102558136},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3096494674682617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14984002709388733},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.0894988477230072},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2020.2998870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2020.2998870","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2603898597","display_name":null,"funder_award_id":"MYRG2019-00086-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G6702671400","display_name":null,"funder_award_id":"MYRG2018-00035-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W179602061","https://openalex.org/W296042737","https://openalex.org/W1553437616","https://openalex.org/W1638038541","https://openalex.org/W2041823554","https://openalex.org/W2060043685","https://openalex.org/W2064463502","https://openalex.org/W2092103954","https://openalex.org/W2101013953","https://openalex.org/W2106374173","https://openalex.org/W2112606109","https://openalex.org/W2123299109","https://openalex.org/W2130382378","https://openalex.org/W2131774270","https://openalex.org/W2131913731","https://openalex.org/W2138878452","https://openalex.org/W2141493634","https://openalex.org/W2160815625","https://openalex.org/W2176804518","https://openalex.org/W2194775991","https://openalex.org/W2211192759","https://openalex.org/W2270140468","https://openalex.org/W2294012495","https://openalex.org/W2303197844","https://openalex.org/W2312101546","https://openalex.org/W2398758564","https://openalex.org/W2401839215","https://openalex.org/W2405524873","https://openalex.org/W2407170210","https://openalex.org/W2409050142","https://openalex.org/W2483721152","https://openalex.org/W2509065397","https://openalex.org/W2511547178","https://openalex.org/W2515753980","https://openalex.org/W2533075636","https://openalex.org/W2565961899","https://openalex.org/W2567375321","https://openalex.org/W2576165910","https://openalex.org/W2591013610","https://openalex.org/W2602887606","https://openalex.org/W2604812030","https://openalex.org/W2625968990","https://openalex.org/W2676493621","https://openalex.org/W2735237710","https://openalex.org/W2740489634","https://openalex.org/W2745896134","https://openalex.org/W2747024632","https://openalex.org/W2747182415","https://openalex.org/W2747872086","https://openalex.org/W2750335806","https://openalex.org/W2772315375","https://openalex.org/W2785354100","https://openalex.org/W2787585025","https://openalex.org/W2794045137","https://openalex.org/W2810350850","https://openalex.org/W2937023704","https://openalex.org/W2962926870","https://openalex.org/W2963403868","https://openalex.org/W2963446712","https://openalex.org/W3098357269","https://openalex.org/W4385245566","https://openalex.org/W6607319937","https://openalex.org/W6610623297","https://openalex.org/W6676842452","https://openalex.org/W6679816892","https://openalex.org/W6685748340","https://openalex.org/W6693961328","https://openalex.org/W6712883666","https://openalex.org/W6713566751","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2547760228","https://openalex.org/W2794664665","https://openalex.org/W3007059209","https://openalex.org/W2766680336","https://openalex.org/W4220832730","https://openalex.org/W1688416049","https://openalex.org/W4289830142","https://openalex.org/W2133320490","https://openalex.org/W2836844603","https://openalex.org/W3173366380"],"abstract_inverted_index":{"Most":[0],"automatic":[1],"speaker":[2],"verification":[3],"(ASV)":[4],"systems":[5],"are":[6,82,124],"vulnerable":[7],"to":[8],"various":[9],"spoofing":[10,24],"attacks.":[11],"In":[12],"recent":[13],"years,":[14],"there":[15],"have":[16,37],"been":[17,32],"many":[18],"methods":[19,36],"were":[20],"proposed":[21,197],"for":[22,53],"detecting":[23],"attacks":[25],"in":[26,41,60,130],"ASV,":[27],"and":[28,73,94,159,191,206],"significant":[29],"progress":[30],"has":[31],"made.":[33],"However,":[34],"current":[35],"shown":[38],"little":[39],"improvements":[40],"replay":[42,54],"spoof":[43],"attack":[44],"detection":[45],"as":[46],"they":[47],"lack":[48],"a":[49,65,90,105,201],"more":[50],"suitable":[51],"model":[52,67,168,194,198],"detection.":[55],"To":[56,149],"address":[57],"this":[58,61,151],"issue,":[59],"article,":[62],"we":[63,153],"propose":[64],"novel":[66],"based":[68,185],"on":[69,186,208],"attention-enhanced":[70,137,166],"DenseNet-BiLSTM":[71,138,167],"network":[72],"segment-based":[74,171],"linear":[75,120,172],"filter":[76,121,173],"bank":[77,122,174],"features.":[78],"First,":[79],"silent":[80,101],"segments":[81,102,129],"selected":[83,116,128],"from":[84,126],"each":[85],"speech":[86],"signal":[87],"by":[88],"using":[89,164],"short-term":[91],"zero-crossing":[92],"rate":[93],"energy.":[95],"If":[96],"the":[97,111,119,127,131,143,165,170,177,182,196,209],"total":[98],"duration":[99],"of":[100,109,145,204],"only":[103],"contains":[104],"very":[106],"limited":[107],"amount":[108],"data,":[110],"decaying":[112],"tails":[113],"will":[114],"be":[115],"instead.":[117],"Second,":[118],"features":[123],"extracted":[125],"relatively":[132],"high-frequency":[133],"domain.":[134],"Finally,":[135],"an":[136],"architecture":[139],"which":[140],"can":[141,199],"avoid":[142],"problems":[144],"overfitting":[146],"is":[147],"built.":[148],"validate":[150],"model,":[152],"used":[154],"two":[155,210],"datasets,":[156],"including":[157],"BTAS2016":[158],"ASVspoof2017.":[160],"Experiments":[161],"show":[162],"that":[163],"with":[169,181],"feature":[175],"achieves":[176],"best":[178],"performance.":[179],"Compared":[180],"baseline":[183],"system":[184],"constant":[187],"Q":[188],"cepstral":[189],"coefficient":[190],"Gaussian":[192],"mixture":[193],"(GMM),":[195],"produce":[200],"relative":[202],"improvement":[203],"91.68%":[205],"74.04%":[207],"data":[211],"sets":[212],"respectively.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
