{"id":"https://openalex.org/W2947237619","doi":"https://doi.org/10.1109/spcom.2018.8724390","title":"Processing linear prediction residual signal to counter replay attacks","display_name":"Processing linear prediction residual signal to counter replay attacks","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2947237619","doi":"https://doi.org/10.1109/spcom.2018.8724390","mag":"2947237619"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2018.8724390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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/A5013209021","display_name":"Jagabandhu Mishra","orcid":"https://orcid.org/0000-0003-1878-6286"},"institutions":[{"id":"https://openalex.org/I3131484930","display_name":"National Institute of Technology Nagaland","ror":"https://ror.org/04cbvzp68","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131484930"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jagabandhu Mishra","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland","institution_ids":["https://openalex.org/I3131484930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074321959","display_name":"Madhusudan Singh","orcid":"https://orcid.org/0000-0002-4534-3109"},"institutions":[{"id":"https://openalex.org/I3131484930","display_name":"National Institute of Technology Nagaland","ror":"https://ror.org/04cbvzp68","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131484930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Madhusudan Singh","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland","institution_ids":["https://openalex.org/I3131484930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060241072","display_name":"Debadatta Pati","orcid":null},"institutions":[{"id":"https://openalex.org/I3131484930","display_name":"National Institute of Technology Nagaland","ror":"https://ror.org/04cbvzp68","country_code":"IN","type":"education","lineage":["https://openalex.org/I3131484930"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debadatta Pati","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Nagaland, Chumukedima, Dimapur, Nagaland","institution_ids":["https://openalex.org/I3131484930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013209021"],"corresponding_institution_ids":["https://openalex.org/I3131484930"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.78170364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9919999837875366,"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":0.9866999983787537,"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/residual","display_name":"Residual","score":0.7762370705604553},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.6982908248901367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6324302554130554},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6026999950408936},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4629197418689728},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.45709317922592163},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4553022086620331},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4508497416973114},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43744397163391113},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4307365417480469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39533090591430664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3659418225288391},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34145665168762207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3382880389690399},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.237978994846344},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.18810629844665527},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08534306287765503}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7762370705604553},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.6982908248901367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324302554130554},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6026999950408936},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4629197418689728},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.45709317922592163},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4553022086620331},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4508497416973114},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43744397163391113},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4307365417480469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39533090591430664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3659418225288391},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34145665168762207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3382880389690399},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.237978994846344},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.18810629844665527},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08534306287765503},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spcom.2018.8724390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724390","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1490120479","https://openalex.org/W1688416049","https://openalex.org/W1966264494","https://openalex.org/W2069883713","https://openalex.org/W2112164460","https://openalex.org/W2114376863","https://openalex.org/W2123299109","https://openalex.org/W2129244720","https://openalex.org/W2154278880","https://openalex.org/W2290028669","https://openalex.org/W2402156731","https://openalex.org/W2745744274","https://openalex.org/W2745896134","https://openalex.org/W2747182415","https://openalex.org/W2748644398","https://openalex.org/W2750335806","https://openalex.org/W2753076865","https://openalex.org/W6637209432","https://openalex.org/W6696494075","https://openalex.org/W6713239009","https://openalex.org/W6744094016"],"related_works":["https://openalex.org/W2349769824","https://openalex.org/W2914532148","https://openalex.org/W2372625757","https://openalex.org/W4313178214","https://openalex.org/W3093766508","https://openalex.org/W2012393389","https://openalex.org/W2766569399","https://openalex.org/W2156831951","https://openalex.org/W1992816027","https://openalex.org/W1527849832"],"abstract_inverted_index":{"Replay":[0],"attack":[1],"is":[2,88,145,153,247],"a":[3],"method":[4],"of":[5,27,80,106,142,163,174,186,221,235,260,265,280],"using":[6],"targets":[7],"pre-recorded":[8],"speech":[9],"samples":[10],"for":[11],"acquiring":[12],"unauthorized":[13],"access":[14],"to":[15,34,62,71,97,226,244,285],"the":[16,25,42,48,77,81,103,107,137,157,171,204,227,242,251,263,278],"automatic":[17],"speaker":[18],"verification":[19],"(SV)":[20],"system.":[21],"This":[22],"work":[23],"investigates":[24],"usefulness":[26,279],"processing":[28,281],"linear":[29,83],"prediction":[30,84,159],"(LP)":[31,85],"residual":[32,86,121,127,200,283],"signal":[33,87],"counter":[35,286],"replay":[36,40,287],"attacks.":[37,288],"In":[38,161],"detecting":[39],"signals":[41,201,284],"major":[43],"clues":[44],"lie":[45],"in":[46,112,118,219],"tracing":[47],"record":[49],"and":[50,65,94,116,126,184,213,237,267],"playback":[51],"devices":[52],"characteristics":[53],"that":[54,109,199,246],"dominantly":[55],"reflect":[56],"at":[57,66],"low":[58,113,205],"frequency":[59,68,92,114,206],"regions":[60,69,115],"due":[61,70,225],"loud":[63,231],"speaker,":[64],"high":[67],"two-stage":[72],"A/D":[73],"conversions.":[74],"Unlike":[75],"speech,":[76],"spectral":[78,253],"pattern":[79],"impulse-like":[82],"spread":[89],"across":[90],"entire":[91],"range,":[93],"so":[95],"conjectured":[96],"be":[98],"more":[99],"useful.":[100],"Based":[101],"on":[102,147,155],"distribution":[104],"nature":[105],"mel-scale":[108],"tightly":[110],"spaced":[111],"reverse":[117],"inverse":[119,128],"mel-scale,":[120],"mel-frequency":[122,129],"cepstral":[123,130],"coefficients":[124,131,256],"(RMFCC)":[125],"(RIMFCC)":[132],"features":[133,144,169,223,239,269],"are":[134],"used":[135],"as":[136],"representative":[138],"features.":[139],"The":[140,150,216,233],"effectiveness":[141],"these":[143],"demonstrated":[146],"ASVspoof2017":[148],"database.":[149],"initial":[151],"study":[152],"made":[154],"deciding":[156],"suitable":[158],"order.":[160],"terms":[162],"equal":[164],"error":[165],"rate":[166],"(EER),":[167],"RMFCC":[168,222,236,266],"provide":[170],"best":[172],"performance":[173,218,243,259],"14.57%":[175],"from":[176,188,230],"20":[177],"<sup":[178,190],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[179,191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">th</sup>":[180,192],"order":[181,193,210],"LP":[182,194,211,282],"analysis":[183,212],"RIMFCC":[185,238,268],"15.35%":[187],"10":[189],"analysis.":[195],"These":[196,275],"results":[197],"show":[198],"effectively":[202],"capture":[203],"distortions":[207],"with":[208,271],"higher":[209,217],"vice":[214],"versa.":[215],"case":[220],"may":[224],"significant":[228],"distortion":[229],"speakers.":[232],"fusion":[234,264],"further":[240],"improves":[241],"10.14%,":[245],"comparatively":[248],"better":[249],"than":[250],"state-of-the-art":[252],"centroid":[254],"magnitude":[255],"(SCMC)":[257],"feature":[258],"11.49%.":[261],"Finally,":[262],"together":[270],"SCMC":[272],"provides":[273],"9.54%.":[274],"outcomes":[276],"demonstrate":[277]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
