{"id":"https://openalex.org/W2166772024","doi":"https://doi.org/10.1186/1687-4722-2014-15","title":"Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation","display_name":"Distant-talking speaker identification by generalized spectral subtraction-based dereverberation and its efficient computation","publication_year":2014,"publication_date":"2014-04-15","ids":{"openalex":"https://openalex.org/W2166772024","doi":"https://doi.org/10.1186/1687-4722-2014-15","mag":"2166772024"},"language":"en","primary_location":{"id":"doi:10.1186/1687-4722-2014-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2014-15","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2014-15","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2014-15","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083198820","display_name":"Zhaofeng Zhang","orcid":"https://orcid.org/0000-0003-1797-7507"},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"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"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhaofeng Zhang","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, 940-2188, Japan","Nagaoka University of Technology, Nagaoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, 940-2188, Japan","institution_ids":["https://openalex.org/I85922643"]},{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745213","display_name":"Longbiao Wang","orcid":"https://orcid.org/0000-0002-8094-6861"},"institutions":[{"id":"https://openalex.org/I119806805","display_name":"Nagaoka University","ror":"https://ror.org/02rcadd38","country_code":"JP","type":"education","lineage":["https://openalex.org/I119806805"]},{"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"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Longbiao Wang","raw_affiliation_strings":["Nagaoka University of Technology, Nagaoka, 940-2188, Japan","Nagaoka University of Technology, Nagaoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, 940-2188, Japan","institution_ids":["https://openalex.org/I85922643"]},{"raw_affiliation_string":"Nagaoka University of Technology, Nagaoka, Japan","institution_ids":["https://openalex.org/I119806805","https://openalex.org/I85922643"]}]},{"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, Hamamatsu, 432-8561, Japan","Shizuoka University, Hamamatsu, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shizuoka University, Hamamatsu, 432-8561, Japan","institution_ids":["https://openalex.org/I1298590031"]},{"raw_affiliation_string":"Shizuoka University, Hamamatsu, 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":{"value":1635,"currency":"USD","value_usd":1635},"apc_paid":{"value":1635,"currency":"USD","value_usd":1635},"fwci":3.134,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91963616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2014","issue":"1","first_page":null,"last_page":null},"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":0.9987999796867371,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7860870361328125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199563980102539},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.629200279712677},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.4550801217556},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12917327880859375}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7860870361328125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199563980102539},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.629200279712677},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.4550801217556},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12917327880859375},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-4722-2014-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2014-15","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2014-15","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-4722-2014-15","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-4722-2014-15","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-4722-2014-15","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2592626567","display_name":"Advanced indexing based on spoken document retrieval and its feedback","funder_award_id":"25330128","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320315966","display_name":"Tateisi Science and Technology Foundation","ror":null},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2166772024.pdf","grobid_xml":"https://content.openalex.org/works/W2166772024.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2195354","https://openalex.org/W67398352","https://openalex.org/W117599783","https://openalex.org/W339564058","https://openalex.org/W1230632900","https://openalex.org/W1840695391","https://openalex.org/W1973669708","https://openalex.org/W1989163463","https://openalex.org/W1991234575","https://openalex.org/W1993482042","https://openalex.org/W1998229164","https://openalex.org/W2005522781","https://openalex.org/W2030588885","https://openalex.org/W2041823554","https://openalex.org/W2047769394","https://openalex.org/W2053150333","https://openalex.org/W2069883713","https://openalex.org/W2069976350","https://openalex.org/W2092169519","https://openalex.org/W2097491464","https://openalex.org/W2103564015","https://openalex.org/W2106718021","https://openalex.org/W2107363208","https://openalex.org/W2107992675","https://openalex.org/W2110322414","https://openalex.org/W2112748425","https://openalex.org/W2114782757","https://openalex.org/W2128653836","https://openalex.org/W2130640611","https://openalex.org/W2132214945","https://openalex.org/W2132742675","https://openalex.org/W2136879537","https://openalex.org/W2140983050","https://openalex.org/W2142117481","https://openalex.org/W2144467445","https://openalex.org/W2150769028","https://openalex.org/W2151500768","https://openalex.org/W2152210587","https://openalex.org/W2158541934","https://openalex.org/W2166626713","https://openalex.org/W2188162373","https://openalex.org/W2245569228","https://openalex.org/W4255888546","https://openalex.org/W4295679937"],"related_works":["https://openalex.org/W4297807400","https://openalex.org/W1491159402","https://openalex.org/W4313854686","https://openalex.org/W321304764","https://openalex.org/W2249138175","https://openalex.org/W2611678594","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W289407349","https://openalex.org/W2029134149"],"abstract_inverted_index":{"Abstract":[0],"Previously,":[1],"a":[2,30,111,140,163,180,186,211,235,245,261,273],"dereverberation":[3,54,70,160,199],"method":[4,28,42,55,109,161,196,209,243],"based":[5],"on":[6,145],"generalized":[7],"spectral":[8,204],"subtraction":[9,205],"(GSS)":[10],"using":[11,56,91,119,179,248,272],"multi-channel":[12],"least":[13],"mean-squares":[14],"(MCLMS)":[15],"has":[16],"been":[17],"proposed.":[18],"The":[19,157,207,220,258],"results":[20,138,259],"of":[21,113,116,128,139,166,218,222,238,264],"speech":[22,58,76,93,118,148,182,188,229,275],"recognition":[23,63,142,164,213,230,236,262],"experiments":[24],"showed":[25],"that":[26],"this":[27,37,41,81,85,242],"achieved":[29],"significant":[31],"improvement":[32],"over":[33],"conventional":[34,172],"methods.":[35],"In":[36,80],"paper,":[38,82],"we":[39,83,104],"apply":[40],"to":[43,153],"distant-talking":[44],"(far-field)":[45],"speaker":[46,62,89,141],"recognition.":[47],"However,":[48],"for":[49,110,133,269],"far-field":[50,147],"speech,":[51],"the":[52,61,114,126,137,154,194,216,228,249],"GSS-based":[53,69,159],"clean":[57,75,181],"models":[59,90],"degrades":[60],"performance.":[64],"This":[65,124],"may":[66],"be":[67],"because":[68],"causes":[71],"some":[72],"distortion":[73],"between":[74],"and":[77,185],"dereverberant":[78,92,117],"speech.":[79,102],"address":[84],"problem":[86,127],"by":[87,95],"training":[88,155],"obtained":[94],"suppressing":[96],"reverberation":[97],"from":[98,254],"arbitrary":[99],"artificial":[100,256],"reverberant":[101,151,187,274],"Furthermore,":[103],"propose":[105],"an":[106,255],"efficient":[107],"computational":[108],"combination":[112],"likelihood":[115],"multiple":[120,223],"compensation":[121,131,224,251],"parameter":[122],"sets.":[123],"addresses":[125],"determining":[129],"optimal":[130,250],"parameters":[132,225,252],"GSS.":[134],"We":[135,191,240],"report":[136],"experiment":[143],"performed":[144],"large-scale":[146],"with":[149,171,176,197,267],"different":[150],"environments":[152],"environments.":[156],"proposed":[158,195,208],"achieves":[162,210],"rate":[165,214,237,263],"92.2%,":[167],"which":[168],"compares":[169],"well":[170],"cepstral":[173],"mean":[174],"normalization":[175],"delay-and-sum":[177,270],"beamforming":[178,271],"model":[183,189],"(49.0%)":[184],"(88.4%).":[190],"also":[192],"compare":[193],"another":[198],"technique,":[200],"multi-step":[201],"linear":[202],"prediction-based":[203],"(MSLP-GSS).":[206],"better":[212],"than":[215],"90.6%":[217],"MSLP-GSS.":[219],"use":[221],"further":[226],"improves":[227],"performance,":[231],"giving":[232],"our":[233],"approach":[234],"93.6%.":[239],"implement":[241],"in":[244],"real":[246],"environment":[247],"estimated":[253],"environment.":[257],"show":[260],"87.8%":[265],"compared":[266],"72.5%":[268],"model.":[276]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}