{"id":"https://openalex.org/W3012417199","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023281","title":"Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction","display_name":"Acceleration of rank-constrained spatial covariance matrix estimation for blind speech extraction","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012417199","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023281","mag":"3012417199"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5102998745","display_name":"Yuki Kubo","orcid":"https://orcid.org/0000-0002-6877-0605"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Kubo","raw_affiliation_strings":["The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051506797","display_name":"Norihiro Takamune","orcid":"https://orcid.org/0000-0002-8102-3110"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihiro Takamune","raw_affiliation_strings":["The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071479017","display_name":"Daichi Kitamura","orcid":"https://orcid.org/0000-0003-1117-7939"},"institutions":[{"id":"https://openalex.org/I4210160866","display_name":"National Institute of Technology, Kagawa College","ror":"https://ror.org/04xfwhf17","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210160866"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daichi Kitamura","raw_affiliation_strings":["National Institute of Technology, Kagawa College, Kagawa, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology, Kagawa College, Kagawa, Japan","institution_ids":["https://openalex.org/I4210160866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003814223","display_name":"Hiroshi Saruwatari","orcid":"https://orcid.org/0000-0003-0876-5617"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Saruwatari","raw_affiliation_strings":["The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Graduate School of Information Science and Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102998745"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49496747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"332","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.996399998664856,"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/covariance-matrix","display_name":"Covariance matrix","score":0.7568422555923462},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.7562463283538818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350606679916382},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6251245737075806},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6045847535133362},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5896549820899963},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.493979275226593},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.4768218398094177},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.47627347707748413},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.46912479400634766},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.46467286348342896},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.46069926023483276},{"id":"https://openalex.org/keywords/sample-matrix-inversion","display_name":"Sample matrix inversion","score":0.44803404808044434},{"id":"https://openalex.org/keywords/essential-matrix","display_name":"Essential matrix","score":0.4354405701160431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3396996855735779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28427359461784363},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.28392836451530457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2775316834449768},{"id":"https://openalex.org/keywords/state-transition-matrix","display_name":"State-transition matrix","score":0.2284654974937439},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1042194664478302},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.07122957706451416}],"concepts":[{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.7568422555923462},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7562463283538818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350606679916382},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6251245737075806},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6045847535133362},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5896549820899963},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.493979275226593},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4768218398094177},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.47627347707748413},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.46912479400634766},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.46467286348342896},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.46069926023483276},{"id":"https://openalex.org/C62403268","wikidata":"https://www.wikidata.org/wiki/Q7410141","display_name":"Sample matrix inversion","level":3,"score":0.44803404808044434},{"id":"https://openalex.org/C49996920","wikidata":"https://www.wikidata.org/wiki/Q17089185","display_name":"Essential matrix","level":5,"score":0.4354405701160431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3396996855735779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28427359461784363},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.28392836451530457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2775316834449768},{"id":"https://openalex.org/C22629506","wikidata":"https://www.wikidata.org/wiki/Q7602993","display_name":"State-transition matrix","level":4,"score":0.2284654974937439},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1042194664478302},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.07122957706451416},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1543386260","https://openalex.org/W2005522781","https://openalex.org/W2021196544","https://openalex.org/W2027884847","https://openalex.org/W2072548008","https://openalex.org/W2113990625","https://openalex.org/W2114461480","https://openalex.org/W2116766578","https://openalex.org/W2127851351","https://openalex.org/W2143027228","https://openalex.org/W2145563317","https://openalex.org/W2159485234","https://openalex.org/W2159956319","https://openalex.org/W2168273590","https://openalex.org/W2170768669","https://openalex.org/W2412956798","https://openalex.org/W2792498316","https://openalex.org/W2804917410","https://openalex.org/W2888401302","https://openalex.org/W2912626244","https://openalex.org/W2937284863","https://openalex.org/W2946521785","https://openalex.org/W2987410580","https://openalex.org/W2987832907","https://openalex.org/W6632571750","https://openalex.org/W6678799340","https://openalex.org/W6683607893","https://openalex.org/W6715525401"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063","https://openalex.org/W3012417199"],"abstract_inverted_index":{"In":[0,64],"this":[1,42],"paper,":[2],"we":[3,57,67],"propose":[4],"new":[5],"accelerated":[6,72],"update":[7,28,55,73],"rules":[8],"for":[9],"rank-constrained":[10],"spatial":[11],"covariance":[12],"model":[13],"estimation,":[14],"which":[15],"efficiently":[16],"extracts":[17],"a":[18],"directional":[19],"target":[20],"source":[21],"in":[22,52],"diffuse":[23],"background":[24],"noise.":[25],"The":[26],"naive":[27,82],"rule":[29,74],"requires":[30],"heavy":[31],"computation":[32],"such":[33],"as":[34],"matrix":[35,38,46,60],"inversion":[36,47,61],"or":[37],"multiplication.":[39,63],"We":[40],"resolve":[41],"problem":[43],"by":[44],"expanding":[45],"to":[48],"reduce":[49],"computational":[50],"complexity;":[51],"the":[53,70,81],"parameter":[54],"step,":[56],"need":[58],"neither":[59],"nor":[62],"an":[65],"experiment,":[66],"show":[68],"that":[69],"proposed":[71],"achieves":[75],"87":[76],"times":[77],"faster":[78],"calculation":[79],"than":[80],"one.":[83]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
