{"id":"https://openalex.org/W4214901243","doi":"https://doi.org/10.1109/taslp.2022.3155271","title":"Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms","display_name":"Switching Independent Vector Analysis and its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4214901243","doi":"https://doi.org/10.1109/taslp.2022.3155271"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2022.3155271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3155271","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5021240106","display_name":"Tomohiro Nakatani","orcid":"https://orcid.org/0000-0002-7487-7150"},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nakatani","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7487-7150","affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084590882","display_name":"Rintaro Ikeshita","orcid":"https://orcid.org/0000-0003-2608-1999"},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rintaro Ikeshita","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-2608-1999","affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069398831","display_name":"Keisuke Kinoshita","orcid":"https://orcid.org/0009-0008-7987-8188"},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Kinoshita","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007032557","display_name":"Hiroshi Sawada","orcid":"https://orcid.org/0000-0002-4831-9286"},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Sawada","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-4831-9286","affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034382743","display_name":"Naoyuki Kamo","orcid":null},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kamo","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[{"id":"https://openalex.org/I46980622","display_name":"Kyoto Seika University","ror":"https://ror.org/05g4f0342","country_code":"JP","type":"education","lineage":["https://openalex.org/I46980622"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoko Araki","raw_affiliation_strings":["NTT Corporation, Seikacho, Kyoto, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Seikacho, Kyoto, Tokyo, Japan","institution_ids":["https://openalex.org/I46980622"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46980622"],"apc_list":null,"apc_paid":null,"fwci":2.2624,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87810463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":null,"first_page":"1032","last_page":"1047"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"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/notation","display_name":"Notation","score":0.7431643605232239},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5610654354095459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45550537109375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36807602643966675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34782522916793823},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3214466869831085},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13588157296180725}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.7431643605232239},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5610654354095459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45550537109375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36807602643966675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34782522916793823},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3214466869831085},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13588157296180725}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2022.3155271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2022.3155271","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W108815450","https://openalex.org/W214395912","https://openalex.org/W653761051","https://openalex.org/W1510462426","https://openalex.org/W1543386260","https://openalex.org/W1567918747","https://openalex.org/W1935589317","https://openalex.org/W1983812858","https://openalex.org/W2000769684","https://openalex.org/W2014768838","https://openalex.org/W2031583051","https://openalex.org/W2040782121","https://openalex.org/W2042860487","https://openalex.org/W2043216213","https://openalex.org/W2045043668","https://openalex.org/W2060108923","https://openalex.org/W2096819401","https://openalex.org/W2099741732","https://openalex.org/W2109987668","https://openalex.org/W2112778229","https://openalex.org/W2114461480","https://openalex.org/W2127851351","https://openalex.org/W2130722890","https://openalex.org/W2143027228","https://openalex.org/W2144404214","https://openalex.org/W2146607063","https://openalex.org/W2149014962","https://openalex.org/W2155638623","https://openalex.org/W2164502538","https://openalex.org/W2170768669","https://openalex.org/W2242685705","https://openalex.org/W2289394825","https://openalex.org/W2412956798","https://openalex.org/W2563666542","https://openalex.org/W2734774145","https://openalex.org/W2788288387","https://openalex.org/W2800675406","https://openalex.org/W2939285537","https://openalex.org/W2951431217","https://openalex.org/W2952218014","https://openalex.org/W2954049404","https://openalex.org/W2963375116","https://openalex.org/W2963488660","https://openalex.org/W2972492143","https://openalex.org/W2972693890","https://openalex.org/W2978904488","https://openalex.org/W2982471419","https://openalex.org/W2987832907","https://openalex.org/W2997453778","https://openalex.org/W2997688633","https://openalex.org/W2998843375","https://openalex.org/W3015306655","https://openalex.org/W3015678657","https://openalex.org/W3028504434","https://openalex.org/W3080684048","https://openalex.org/W3093410526","https://openalex.org/W3096752279","https://openalex.org/W3099177480","https://openalex.org/W3099330747","https://openalex.org/W3127348940","https://openalex.org/W3127686677","https://openalex.org/W3128534387","https://openalex.org/W3128688470","https://openalex.org/W3130736950","https://openalex.org/W3161538827","https://openalex.org/W3163391314","https://openalex.org/W3163423492","https://openalex.org/W3168947150","https://openalex.org/W4205167030","https://openalex.org/W4205778870","https://openalex.org/W6629041830","https://openalex.org/W6631362777","https://openalex.org/W6690610466","https://openalex.org/W6790297703","https://openalex.org/W6790629284"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2504004674","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644"],"abstract_inverted_index":{"This":[0],"paper":[1,169],"develops":[2],"a":[3,15,48,135,155,161,176,190,207,256],"framework":[4],"that":[5,26,196,234,263],"can":[6,31,128,144,239,251],"accurately":[7],"perform":[8],"denoising,":[9],"dereverberation,":[10],"and":[11,140,167,199,225,237,248,272,284],"source":[12,178,226],"separation":[13,179,227],"using":[14,255,290],"relatively":[16,291],"small":[17,136],"number":[18,51,78,137],"of":[19,58,79,113,126,138,217,280],"microphones.":[20,293],"It":[21],"has":[22],"been":[23],"empirically":[24],"confirmed":[25],"Independent":[27],"Vector":[28],"Analysis":[29],"(IVA)":[30],"blindly":[32],"separate":[33],"<inline-formula":[34,53,63,84,88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,54,64,85,89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[36,55,65,86,90],"notation=\"LaTeX\">$N$</tex-math></inline-formula>":[37],"sources":[38],"from":[39],"their":[40,249],"sound":[41],"mixture":[42],"even":[43],"with":[44,117,134,175],"diffuse":[45],"noise":[46],"when":[47,76,289],"sufficiently":[49],"large":[50],"(":[52],"notation=\"LaTeX\">$=M$</tex-math></inline-formula>":[56],")":[57],"microphones":[59],"are":[60,120,221],"available":[61],"(i.e.,":[62],"notation=\"LaTeX\">$M\\gg":[66],"N)$</tex-math></inline-formula>":[67],".":[68],"However,":[69],"the":[70,77,110,171,265],"estimation":[71,143],"accuracy":[72],"is":[73],"seriously":[74],"degraded":[75],"microphones,":[80,139],"or":[81],"more":[82],"specifically":[83],"notation=\"LaTeX\">$M-N$</tex-math></inline-formula>":[87],"notation=\"LaTeX\">$(\\geq":[91],"0)$</tex-math></inline-formula>":[92],",":[93],"decreases.":[94],"To":[95,181],"overcome":[96],"this":[97,106,168],"IVA":[98,103,133,150,271],"limitation,":[99],"we":[100,185],"propose":[101],"switching":[102,156,200],"(swIVA)":[104],"in":[105,206,278],"paper.":[107],"With":[108,211],"swIVA,":[109],"time":[111],"frames":[112],"an":[114,218],"observed":[115,219],"signal":[116,220,246,282],"time-varying":[118,215],"characteristics":[119,216],"clustered":[121],"into":[122,160],"several":[123],"groups,":[124],"each":[125,152],"which":[127],"be":[129,145,240,252],"well":[130],"handled":[131],"by":[132,147],"thus":[141],"accurate":[142],"achieved":[146],"individually":[148],"applying":[149],"to":[151,173,189,228],"group.":[153],"Conventionally,":[154],"mechanism":[157,172],"was":[158],"introduced":[159],"Minimum-Variance":[162],"Distortionless":[163],"Response":[164],"(MVDR)":[165],"beamformer,":[166],"extends":[170],"work":[174],"blind":[177,191,245],"algorithm.":[180],"incorporate":[182],"dereverberation":[183,204,224],"capability,":[184],"further":[186,253],"extend":[187],"swIVA":[188,198,236],"Convolutional":[192],"beamforming":[193,275],"algorithm":[194],"(swCIVA)":[195],"integrates":[197],"Weighted":[201],"Prediction":[202],"Error-based":[203],"(swWPE)":[205],"jointly":[208],"optimal":[209],"way.":[210],"swCIVA,":[212],"two":[213],"different":[214],"captured":[222],"for":[223,259],"achieve":[229],"effective":[230],"estimation.":[231],"We":[232],"show":[233],"both":[235,264],"swCIVA":[238],"optimized":[241],"effectively":[242],"based":[243],"on":[244],"processing,":[247],"performance":[250],"improved":[254],"spatial":[257],"guide":[258],"initialization.":[260],"Experiments":[261],"demonstrate":[262],"proposed":[266],"methods":[267],"largely":[268],"outperformed":[269],"conventional":[270],"its":[273],"convolutional":[274],"extension":[276],"(CIVA)":[277],"terms":[279],"objective":[281],"quality":[283],"automatic":[285],"speech":[286],"recognition":[287],"scores":[288],"few":[292]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
