{"id":"https://openalex.org/W1982846521","doi":"https://doi.org/10.1109/icassp.2013.6639065","title":"Hands-free speaker identification based on spectral subtraction using a multi-channel least mean square approach","display_name":"Hands-free speaker identification based on spectral subtraction using a multi-channel least mean square approach","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1982846521","doi":"https://doi.org/10.1109/icassp.2013.6639065","mag":"1982846521"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5101745213","display_name":"Longbiao Wang","orcid":"https://orcid.org/0000-0002-8094-6861"},"institutions":[{"id":"https://openalex.org/I85922643","display_name":"Nagaoka University of Technology","ror":"https://ror.org/00ys1hz88","country_code":"JP","type":"education","lineage":["https://openalex.org/I85922643"]},{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Longbiao Wang","raw_affiliation_strings":["Nagaoka University of Technology, Japan","[Nagaoka University of Technology, Nagaoka, Japan]"],"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]},{"raw_affiliation_string":"[Nagaoka University of Technology, Nagaoka, Japan]","institution_ids":["https://openalex.org/I85922643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083198820","display_name":"Zhaofeng Zhang","orcid":"https://orcid.org/0000-0003-1797-7507"},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhaofeng Zhang","raw_affiliation_strings":["Shizuoka University, Japan","Shizuoka Univ., Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Shizuoka University, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Shizuoka Univ., Shizuoka, Japan","institution_ids":["https://openalex.org/I1298590031"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071123569","display_name":"Atsuhiko Kai","orcid":null},"institutions":[{"id":"https://openalex.org/I1298590031","display_name":"Shizuoka University","ror":"https://ror.org/01w6wtk13","country_code":"JP","type":"education","lineage":["https://openalex.org/I1298590031"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsuhiko Kai","raw_affiliation_strings":["Shizuoka University, Japan","Shizuoka Univ., Shizuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Shizuoka University, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Shizuoka Univ., Shizuoka, Japan","institution_ids":["https://openalex.org/I1298590031"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101745213"],"corresponding_institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"],"apc_list":null,"apc_paid":null,"fwci":3.1921,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91929249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6 a","issue":null,"first_page":"7224","last_page":"7228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9921000003814697,"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/speech-recognition","display_name":"Speech recognition","score":0.8090333938598633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170135974884033},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.5832770466804504},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.5317000150680542},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.5120030045509338},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4976859390735626},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4869714677333832},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.45506924390792847},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44096970558166504},{"id":"https://openalex.org/keywords/linear-predictive-coding","display_name":"Linear predictive coding","score":0.4337453544139862},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.43327462673187256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3779679536819458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3419884443283081},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.33345022797584534},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3000184893608093},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.18613001704216003},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.09245148301124573}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.8090333938598633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170135974884033},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.5832770466804504},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.5317000150680542},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.5120030045509338},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4976859390735626},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4869714677333832},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.45506924390792847},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44096970558166504},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.4337453544139862},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.43327462673187256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3779679536819458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3419884443283081},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.33345022797584534},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3000184893608093},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.18613001704216003},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.09245148301124573},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W253504657","https://openalex.org/W339564058","https://openalex.org/W1989163463","https://openalex.org/W2005522781","https://openalex.org/W2053150333","https://openalex.org/W2069976350","https://openalex.org/W2112748425","https://openalex.org/W2151500768","https://openalex.org/W2158541934","https://openalex.org/W2245569228","https://openalex.org/W4295679937","https://openalex.org/W6690610466"],"related_works":["https://openalex.org/W2126085626","https://openalex.org/W3211091508","https://openalex.org/W2545131480","https://openalex.org/W208363076","https://openalex.org/W1973693762","https://openalex.org/W2087341511","https://openalex.org/W4230495983","https://openalex.org/W1946464671","https://openalex.org/W2049648127","https://openalex.org/W2141917278"],"abstract_inverted_index":{"A":[0],"dereverberation":[1,42,67],"method":[2,35,43,68,110,147],"based":[3],"on":[4,21,133],"generalized":[5],"spectral":[6],"subtraction":[7],"(GSS)":[8],"using":[9,44,92,163],"a":[10,109,149],"multi-channel":[11],"least":[12],"mean":[13,159],"square":[14],"(MCLMS)":[15],"approach":[16],"achieved":[17,148],"significantly":[18],"improved":[19],"results":[20],"speech":[22,46,58,77,165,172],"recognition":[23],"experiments":[24],"compared":[25,155,169],"with":[26,137,156,161,170],"conventional":[27,157],"methods.":[28],"In":[29,81],"this":[30,34,82,86],"study,":[31,83],"we":[32,84],"employ":[33],"for":[36,57],"hands-free":[37],"speaker":[38,49,90,119,128],"identification.":[39],"The":[40,127,145],"GSS-based":[41,66],"clean":[45,76,164],"models":[47,91],"degrades":[48],"identification":[50,120,129],"performance,":[51],"although":[52],"it":[53],"is":[54,96],"very":[55],"effective":[56],"recognition.":[59],"One":[60],"reason":[61],"may":[62],"be":[63],"that":[64,111],"the":[65,142],"causes":[69],"distortion":[70,73],"such":[71],"as":[72],"characteristics":[74],"between":[75],"and":[78,121,167],"dereverberant":[79,93],"speech.":[80,105],"address":[85],"problem":[87],"by":[88,98],"training":[89,143],"speech,":[94,136],"which":[95],"obtained":[97],"suppressing":[99],"reverberation":[100],"from":[101],"arbitrary":[102],"artificial":[103],"reverberant":[104,138,171],"We":[106],"also":[107],"propose":[108],"combines":[112],"various":[113],"compensation":[114],"parameter":[115],"sets":[116],"to":[117,141],"improve":[118],"provide":[122],"an":[123],"efficient":[124],"computational":[125],"method.":[126],"experiment":[130],"was":[131],"performed":[132],"large-scale":[134],"farfield":[135],"environments":[139],"different":[140],"environments.":[144],"proposed":[146],"relative":[150],"error":[151],"reduction":[152],"of":[153],"87.5%,":[154],"cepstral":[158],"normalization":[160],"beamforming":[162],"models,":[166],"44.8%":[168],"models.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}