{"id":"https://openalex.org/W2964511278","doi":"https://doi.org/10.1109/isba.2019.8778535","title":"Subband Analysis for Performance Improvement of Replay Attack Detection in Speaker Verification Systems","display_name":"Subband Analysis for Performance Improvement of Replay Attack Detection in Speaker Verification Systems","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964511278","doi":"https://doi.org/10.1109/isba.2019.8778535","mag":"2964511278"},"language":"en","primary_location":{"id":"doi:10.1109/isba.2019.8778535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2019.8778535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)","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/A5100896317","display_name":"Sachin Garg","orcid":"https://orcid.org/0009-0004-6719-5866"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sachin Garg","raw_affiliation_strings":["Indian Institute of Technology Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061792792","display_name":"Shruti Bhilare","orcid":"https://orcid.org/0000-0001-5722-998X"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shruti Bhilare","raw_affiliation_strings":["Indian Institute of Technology Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016019632","display_name":"Vivek Kanhangad","orcid":"https://orcid.org/0000-0002-9791-3695"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vivek Kanhangad","raw_affiliation_strings":["Indian Institute of Technology Indore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore, India","institution_ids":["https://openalex.org/I64295750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":1.5028,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83182178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.7672282457351685},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.7300743460655212},{"id":"https://openalex.org/keywords/replay-attack","display_name":"Replay attack","score":0.6337642669677734},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5099974870681763},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4674067795276642},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20961061120033264},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.08752420544624329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672282457351685},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.7300743460655212},{"id":"https://openalex.org/C11560541","wikidata":"https://www.wikidata.org/wiki/Q1756025","display_name":"Replay attack","level":3,"score":0.6337642669677734},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5099974870681763},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4674067795276642},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20961061120033264},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.08752420544624329}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isba.2019.8778535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2019.8778535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1563317239","https://openalex.org/W1973669708","https://openalex.org/W1980581462","https://openalex.org/W2022526499","https://openalex.org/W2076608692","https://openalex.org/W2083458151","https://openalex.org/W2083811603","https://openalex.org/W2123299109","https://openalex.org/W2170088868","https://openalex.org/W2265356345","https://openalex.org/W2333871989","https://openalex.org/W2472787443","https://openalex.org/W2513054450","https://openalex.org/W2563686859","https://openalex.org/W2585365199","https://openalex.org/W2588445447","https://openalex.org/W2590129515","https://openalex.org/W2618830773","https://openalex.org/W2745424183","https://openalex.org/W2745896134","https://openalex.org/W2747872086","https://openalex.org/W2748644398","https://openalex.org/W2749090340","https://openalex.org/W2749187657","https://openalex.org/W2772315375","https://openalex.org/W2783782089","https://openalex.org/W2785354100"],"related_works":["https://openalex.org/W66821593","https://openalex.org/W4297807400","https://openalex.org/W1491159402","https://openalex.org/W4313854686","https://openalex.org/W321304764","https://openalex.org/W2249138175","https://openalex.org/W1521299571","https://openalex.org/W2473956133","https://openalex.org/W1516392727","https://openalex.org/W2140022733"],"abstract_inverted_index":{"Automatic":[0],"speaker":[1,31],"verification":[2,32],"systems":[3],"have":[4,22,90],"been":[5],"widely":[6],"employed":[7],"in":[8,16,40,144],"a":[9],"variety":[10],"of":[11,19,51,85,100,135,146],"commercial":[12],"applications.":[13],"However,":[14,48],"advancements":[15],"the":[17,24,49,61,83,94,112,116,138],"field":[18],"speech":[20,42],"technology":[21],"equipped":[23],"attackers":[25],"with":[26],"sophisticated":[27],"techniques":[28],"for":[29,124],"circumventing":[30],"systems.":[33],"The":[34],"state-of-the-art":[35],"countermeasures":[36],"are":[37],"fairly":[38],"successful":[39],"detecting":[41],"synthesis":[43],"and":[44,75,103],"voice":[45],"conversion":[46],"attacks.":[47],"problem":[50],"replay":[52,86,105,125,140],"attack":[53,87,126,141],"detection":[54,142],"has":[55],"not":[56],"received":[57],"much":[58],"attention":[59],"from":[60,115],"researchers.":[62],"In":[63,128],"this":[64],"study,":[65],"we":[66],"perform":[67],"subband":[68],"analysis":[69],"on":[70,93],"constant-Q":[71],"cepstral":[72,77],"coefficient":[73,78],"(CQCC)":[74],"mel-frequency":[76],"(MFCC)":[79],"features":[80,113],"to":[81],"improve":[82],"performance":[84],"detection.":[88,127],"We":[89],"performed":[91],"experiments":[92],"ASVspoof":[95],"2017":[96],"database":[97],"which":[98],"consists":[99],"3566":[101],"genuine":[102],"15380":[104],"utterances.":[106],"Our":[107],"experimental":[108],"results":[109],"suggest":[110],"that":[111],"extracted":[114],"high":[117],"frequency":[118],"band":[119],"carries":[120],"significant":[121],"discriminatory":[122],"information":[123],"particular,":[129],"our":[130],"approach":[131],"achieves":[132],"an":[133],"improvement":[134],"36.33%":[136],"over":[137],"baseline":[139],"method":[143],"terms":[145],"equal":[147],"error":[148],"rate.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
