{"id":"https://openalex.org/W3012303240","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023062","title":"Multi-band Spectral Entropy Information for Detection of Replay Attacks","display_name":"Multi-band Spectral Entropy Information for Detection of Replay Attacks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012303240","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023062","mag":"3012303240"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5051953616","display_name":"Yitong Liu","orcid":"https://orcid.org/0000-0002-1644-9043"},"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":"Yitong Liu","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","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":false,"raw_author_name":"Rohan Kumar Das","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"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":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"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/A5051953616"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.7216,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79851478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2019","issue":null,"first_page":"838","last_page":"843"},"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/T11309","display_name":"Music and Audio Processing","score":0.991100013256073,"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/T10860","display_name":"Speech and Audio Processing","score":0.9884999990463257,"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":0.7689040899276733},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6735115647315979},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5630670785903931},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.53017258644104},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5297331213951111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4983663558959961},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47539934515953064},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.4429270923137665},{"id":"https://openalex.org/keywords/maximum-entropy-spectral-estimation","display_name":"Maximum entropy spectral estimation","score":0.4194839894771576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41517114639282227},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.26103833317756653},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06451329588890076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689040899276733},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6735115647315979},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5630670785903931},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.53017258644104},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5297331213951111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4983663558959961},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47539934515953064},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.4429270923137665},{"id":"https://openalex.org/C89735579","wikidata":"https://www.wikidata.org/wiki/Q6795894","display_name":"Maximum entropy spectral estimation","level":3,"score":0.4194839894771576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41517114639282227},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.26103833317756653},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06451329588890076},{"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/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"mag:3084973041","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002274336455708","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1490120479","https://openalex.org/W1548442879","https://openalex.org/W1905983571","https://openalex.org/W1936725236","https://openalex.org/W1980581462","https://openalex.org/W1991567712","https://openalex.org/W1995875735","https://openalex.org/W2029945570","https://openalex.org/W2062703747","https://openalex.org/W2069976350","https://openalex.org/W2083458151","https://openalex.org/W2123299109","https://openalex.org/W2127991685","https://openalex.org/W2129244720","https://openalex.org/W2148154194","https://openalex.org/W2150769028","https://openalex.org/W2154278880","https://openalex.org/W2165880886","https://openalex.org/W2169559282","https://openalex.org/W2295590090","https://openalex.org/W2303197844","https://openalex.org/W2405464168","https://openalex.org/W2471177962","https://openalex.org/W2490959726","https://openalex.org/W2551809121","https://openalex.org/W2585365199","https://openalex.org/W2588445447","https://openalex.org/W2590129515","https://openalex.org/W2745744274","https://openalex.org/W2745896134","https://openalex.org/W2747182415","https://openalex.org/W2748644398","https://openalex.org/W2750335806","https://openalex.org/W2807325376","https://openalex.org/W2889084898","https://openalex.org/W2891042661","https://openalex.org/W2921832138","https://openalex.org/W2921982339","https://openalex.org/W2922490899","https://openalex.org/W2944025308","https://openalex.org/W2972703466","https://openalex.org/W3007151378","https://openalex.org/W3022697898","https://openalex.org/W6639772588","https://openalex.org/W6697535213","https://openalex.org/W6743204228","https://openalex.org/W6743346254","https://openalex.org/W6743510496","https://openalex.org/W6776464407"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2160511961","https://openalex.org/W2066371342"],"abstract_inverted_index":{"Replay":[0],"attacks":[1],"have":[2],"been":[3],"proven":[4],"to":[5,10,40,72],"be":[6,68],"a":[7,21,38,69,119],"potential":[8],"threat":[9],"practical":[11],"automatic":[12],"speaker":[13],"verification":[14],"systems.":[15],"In":[16,76],"this":[17,77],"work,":[18],"we":[19,79],"explore":[20,80],"novel":[22],"feature":[23,84,114],"based":[24],"on":[25,93],"spectral":[26,35,42,65,82,126,142],"entropy":[27,36,66,83,127,143],"for":[28,85],"the":[29,50,56,133,138],"detection":[30],"of":[31,58,140],"replay":[32,51,86,102],"attacks.":[33,104],"The":[34,89,135],"is":[37,47,115,122],"measure":[39],"capture":[41,73],"distortions":[43],"and":[44,60,128],"flatness.":[45],"It":[46],"found":[48],"that":[49,64,99,131],"speech":[52,103],"carries":[53],"artifacts":[54],"in":[55],"process":[57],"recording":[59],"playback.":[61],"We":[62],"hypothesize":[63],"can":[67],"useful":[70],"information":[71],"such":[74],"artifacts.":[75],"regard,":[78],"multi-band":[81,125,141],"attack":[87],"detection.":[88],"studies":[90],"are":[91],"conducted":[92],"ASVspoof":[94],"2017":[95],"Version":[96],"2.0":[97],"database":[98],"deals":[100],"with":[101,108,124],"A":[105],"baseline":[106],"system":[107,121],"popular":[109],"constant-Q":[110],"cepstral":[111],"coefficient":[112],"(CQCC)":[113],"also":[116],"developed.":[117],"Finally,":[118],"combined":[120],"proposed":[123],"CQCC":[129],"features":[130],"outperforms":[132],"baseline.":[134],"experiments":[136],"validate":[137],"idea":[139],"feature.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}