{"id":"https://openalex.org/W4362653188","doi":"https://doi.org/10.1109/lsp.2023.3264570","title":"Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis","display_name":"Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4362653188","doi":"https://doi.org/10.1109/lsp.2023.3264570"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3264570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3264570","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/4358004/10093065.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/97/4358004/10093065.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038376744","display_name":"Hokuto Munakata","orcid":"https://orcid.org/0000-0003-3624-5838"},"institutions":[{"id":"https://openalex.org/I4210110027","display_name":"Sanken Electric (Japan)","ror":"https://ror.org/01v07hj96","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110027"]},{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hokuto Munakata","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","SANKEN, Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3624-5838","affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"SANKEN, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210110027","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007353694","display_name":"Yoshiaki Bando","orcid":"https://orcid.org/0000-0002-3934-0745"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiaki Bando","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3934-0745","affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018403421","display_name":"Ryu Takeda","orcid":"https://orcid.org/0009-0007-0518-6245"},"institutions":[{"id":"https://openalex.org/I4210110027","display_name":"Sanken Electric (Japan)","ror":"https://ror.org/01v07hj96","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110027"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryu Takeda","raw_affiliation_strings":["SANKEN, Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0009-0007-0518-6245","affiliations":[{"raw_affiliation_string":"SANKEN, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210110027","https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049614400","display_name":"Kazunori Komatani","orcid":"https://orcid.org/0000-0002-6052-600X"},"institutions":[{"id":"https://openalex.org/I4210110027","display_name":"Sanken Electric (Japan)","ror":"https://ror.org/01v07hj96","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210110027"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Komatani","raw_affiliation_strings":["SANKEN, Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6052-600X","affiliations":[{"raw_affiliation_string":"SANKEN, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210110027","https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031341888","display_name":"Masaki Onishi","orcid":"https://orcid.org/0000-0002-4580-4868"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Onishi","raw_affiliation_strings":["National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4781,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8234493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"384","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"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":0.9980999827384949,"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/source-separation","display_name":"Source separation","score":0.6895800828933716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6552390456199646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6488087177276611},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6217544078826904},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6087126135826111},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5330758094787598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5202789902687073},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4799535572528839},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.46263593435287476},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4468654990196228},{"id":"https://openalex.org/keywords/direction-of-arrival","display_name":"Direction of arrival","score":0.4403075575828552},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.41263464093208313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3832785487174988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28439992666244507},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2388838529586792},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10517460107803345}],"concepts":[{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6895800828933716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6552390456199646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488087177276611},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6217544078826904},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6087126135826111},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5330758094787598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202789902687073},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4799535572528839},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.46263593435287476},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4468654990196228},{"id":"https://openalex.org/C172051844","wikidata":"https://www.wikidata.org/wiki/Q5280438","display_name":"Direction of arrival","level":3,"score":0.4403075575828552},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.41263464093208313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3832785487174988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28439992666244507},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2388838529586792},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10517460107803345},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3264570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3264570","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/4358004/10093065.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/lsp.2023.3264570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3264570","pdf_url":"https://ieeexplore.ieee.org/ielx7/97/4358004/10093065.pdf","source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321680","display_name":"New Energy and Industrial Technology Development Organization","ror":"https://ror.org/0055k7a87"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362653188.pdf","grobid_xml":"https://content.openalex.org/works/W4362653188.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1536891161","https://openalex.org/W2110059230","https://openalex.org/W2117678320","https://openalex.org/W2127851351","https://openalex.org/W2143027228","https://openalex.org/W2168273590","https://openalex.org/W2283599234","https://openalex.org/W2412956798","https://openalex.org/W2563666542","https://openalex.org/W2734774145","https://openalex.org/W2766672686","https://openalex.org/W2771998460","https://openalex.org/W2801096420","https://openalex.org/W2810934215","https://openalex.org/W2892163332","https://openalex.org/W2901552243","https://openalex.org/W2905196628","https://openalex.org/W2933708090","https://openalex.org/W2935912054","https://openalex.org/W2951670304","https://openalex.org/W2952218014","https://openalex.org/W2962970794","https://openalex.org/W2963375116","https://openalex.org/W2964208065","https://openalex.org/W2982840733","https://openalex.org/W2995166068","https://openalex.org/W3005621653","https://openalex.org/W3015678657","https://openalex.org/W3015788098","https://openalex.org/W3016244615","https://openalex.org/W3020336359","https://openalex.org/W3081267827","https://openalex.org/W3093839391","https://openalex.org/W3099330747","https://openalex.org/W3163652268","https://openalex.org/W3198425604","https://openalex.org/W4296068764","https://openalex.org/W4297797459","https://openalex.org/W4297841761","https://openalex.org/W4391602018","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6756162338","https://openalex.org/W6763918015","https://openalex.org/W6781130467","https://openalex.org/W6784499681"],"related_works":["https://openalex.org/W2152992791","https://openalex.org/W2112835755","https://openalex.org/W2788344745","https://openalex.org/W2349674371","https://openalex.org/W4291951920","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W2062336688","https://openalex.org/W4301867002","https://openalex.org/W4225326921"],"abstract_inverted_index":{"This":[0,61,110],"paper":[1],"presents":[2],"an":[3,15,169],"unsupervised":[4],"multichannel":[5,52,130],"method":[6,32,167,175],"that":[7,65,165],"can":[8,55],"separate":[9,57,122],"moving":[10,125,162],"sound":[11,67],"sources":[12,68,100,126,163],"based":[13,45],"on":[14,46,145],"amortized":[16],"variational":[17],"inference":[18],"(AVI)":[19],"of":[20,51,97,99,106,153,161],"joint":[21,171],"separation":[22,30,43,172],"and":[23,54,71,95,123,133,173,176],"localization.":[24],"A":[25],"recently":[26],"proposed":[27],"blind":[28],"source":[29,80],"(BSS)":[31],"called":[33],"neural":[34,42,108,118],"full-rank":[35],"spatial":[36,92],"covariance":[37,93],"analysis":[38],"(FCA)":[39],"trains":[40],"a":[41,47,117,142],"model":[44,50,105,112],"nonlinear":[48,103],"generative":[49,104,111],"mixtures":[53],"precisely":[56],"unseen":[58],"mixture":[59,131,159],"signals.":[60],"method,":[62],"however,":[63],"assumes":[64],"the":[66,79,102,107,146,151],"hardly":[69],"move,":[70],"thus":[72],"its":[73],"performance":[74],"is":[75,113,139],"easily":[76],"degraded":[77],"by":[78,89,127],"movements.":[81],"In":[82],"this":[83,87],"paper,":[84],"we":[85],"solve":[86],"problem":[88],"introducing":[90],"time-varying":[91],"matrices":[94],"directions":[96],"arrival":[98],"into":[101],"FCA.":[109],"used":[114],"for":[115],"training":[116,137],"network":[119],"to":[120],"jointly":[121],"localize":[124],"using":[128],"only":[129],"signals":[132,160],"array":[134],"geometries.":[135],"The":[136],"objective":[138],"derived":[140],"as":[141],"lower":[143],"bound":[144],"log-marginal":[147],"posterior":[148],"probability":[149],"in":[150],"framework":[152],"AVI.":[154],"Experimental":[155],"results":[156],"obtained":[157],"with":[158],"show":[164],"our":[166],"outperformed":[168],"existing":[170],"localization":[174],"standard":[177],"BSS":[178],"methods.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}