{"id":"https://openalex.org/W2114376863","doi":"https://doi.org/10.1109/icmlc.2011.6016982","title":"Channel pattern noise based playback attack detection algorithm for speaker recognition","display_name":"Channel pattern noise based playback attack detection algorithm for speaker recognition","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2114376863","doi":"https://doi.org/10.1109/icmlc.2011.6016982","mag":"2114376863"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/A5008033496","display_name":"Zhifeng Wang","orcid":"https://orcid.org/0000-0001-6960-509X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi-Feng Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367486","display_name":"Gang Wei","orcid":"https://orcid.org/0000-0002-1775-4760"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wei","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102706072","display_name":"Qianhua He","orcid":"https://orcid.org/0000-0002-9079-4566"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian-Hua He","raw_affiliation_strings":["School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Electronic and Information#R#        Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008033496"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":2.1379,"has_fulltext":false,"cited_by_count":102,"citation_normalized_percentile":{"value":0.89064914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1708","last_page":"1713"},"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":0.9983999729156494,"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":0.9937000274658203,"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":0.7296241521835327},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7274436950683594},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6115407943725586},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5625393390655518},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5083948969841003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4865664541721344},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.4812750220298767},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.48048439621925354},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4397158622741699},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.43798476457595825},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4289085865020752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36792874336242676},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15711602568626404},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15082919597625732}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296241521835327},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7274436950683594},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6115407943725586},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5625393390655518},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5083948969841003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4865664541721344},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.4812750220298767},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.48048439621925354},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4397158622741699},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.43798476457595825},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4289085865020752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36792874336242676},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15711602568626404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15082919597625732},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2011.6016982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1550612414","https://openalex.org/W1604034532","https://openalex.org/W2061605473","https://openalex.org/W2064993047","https://openalex.org/W2087119585","https://openalex.org/W2107713197","https://openalex.org/W2133379844","https://openalex.org/W2137075158","https://openalex.org/W2388109969","https://openalex.org/W2502914326","https://openalex.org/W4243070457"],"related_works":["https://openalex.org/W2387796150","https://openalex.org/W2499802997","https://openalex.org/W2065885792","https://openalex.org/W4255044973","https://openalex.org/W2112059504","https://openalex.org/W2727729836","https://openalex.org/W1960256358","https://openalex.org/W2464377622","https://openalex.org/W2914064142","https://openalex.org/W2394963835"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,28,73],"channel":[4,23,30,42,60],"pattern":[5,24,43],"noise":[6,25,61],"based":[7],"approach":[8],"to":[9,40,58,63],"guard":[10],"speaker":[11,91],"recognition":[12,92],"system":[13,93],"against":[14],"playback":[15,74,84],"attacks.":[16],"For":[17],"each":[18],"recording":[19],"under":[20],"investigation,":[21],"the":[22,66,82,86],"severs":[26],"as":[27],"unique":[29],"identification":[31],"fingerprint.":[32],"Denoising":[33],"filter":[34],"and":[35,45,49],"statistical":[36,51],"frames":[37],"are":[38,53],"applied":[39],"extract":[41],"noise,":[44],"6":[46,50],"Legendre":[47],"coefficients":[48],"features":[52],"extracted.":[54],"SVM":[55],"is":[56,69,94],"used":[57],"train":[59],"model":[62],"judge":[64],"whether":[65],"input":[67],"speech":[68],"an":[70],"authentic":[71],"or":[72],"recording.":[75],"The":[76],"experimental":[77],"results":[78],"indicate":[79],"that,":[80],"with":[81],"designed":[83],"detector,":[85],"equal":[87],"error":[88],"rate":[89],"of":[90],"reduced":[95],"by":[96],"30%.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}