{"id":"https://openalex.org/W4206231176","doi":"https://doi.org/10.23919/eusipco54536.2021.9616119","title":"Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation","display_name":"Low Latency Online Source Separation and Noise Reduction Based on Joint Optimization with Dereverberation","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206231176","doi":"https://doi.org/10.23919/eusipco54536.2021.9616119"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616119","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616119","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101133779","display_name":"Tetsuya Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Ueda","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021240106","display_name":"Tomohiro Nakatani","orcid":"https://orcid.org/0000-0002-7487-7150"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Nakatani","raw_affiliation_strings":["NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"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/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rintaro Ikeshita","raw_affiliation_strings":["NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"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/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Kinoshita","raw_affiliation_strings":["NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009309584","display_name":"Shoko Araki","orcid":"https://orcid.org/0000-0003-4363-4305"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoko Araki","raw_affiliation_strings":["NTT Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075702573","display_name":"Shoji Makino","orcid":"https://orcid.org/0000-0003-1934-640X"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoji Makino","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1000","last_page":"1004"},"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":0.9998000264167786,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7998526096343994},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7282295823097229},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6791884303092957},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6653950214385986},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5820415019989014},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5751455426216125},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5702298879623413},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.555152416229248},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4998447895050049},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45264673233032227},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.44233372807502747},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40792983770370483},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37611502408981323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2622140645980835},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10592636466026306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09835284948348999},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06546768546104431}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998526096343994},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7282295823097229},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6791884303092957},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6653950214385986},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5820415019989014},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5751455426216125},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5702298879623413},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.555152416229248},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4998447895050049},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45264673233032227},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.44233372807502747},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40792983770370483},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37611502408981323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2622140645980835},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10592636466026306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09835284948348999},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06546768546104431},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616119","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616119","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.4699999988079071,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W108815450","https://openalex.org/W1502398685","https://openalex.org/W1845880232","https://openalex.org/W1965255698","https://openalex.org/W1999542175","https://openalex.org/W2014768838","https://openalex.org/W2019426094","https://openalex.org/W2072548008","https://openalex.org/W2114461480","https://openalex.org/W2117090122","https://openalex.org/W2127851351","https://openalex.org/W2140571699","https://openalex.org/W2293085076","https://openalex.org/W2439244720","https://openalex.org/W2748661748","https://openalex.org/W2800675406","https://openalex.org/W2951431217","https://openalex.org/W2997688633","https://openalex.org/W3015256813","https://openalex.org/W3015564447","https://openalex.org/W3015666015","https://openalex.org/W3015845848","https://openalex.org/W3028504434","https://openalex.org/W3093410526","https://openalex.org/W3096752279","https://openalex.org/W3099177480","https://openalex.org/W3127348940","https://openalex.org/W3163391314","https://openalex.org/W3163605974","https://openalex.org/W6629956514","https://openalex.org/W6638690007","https://openalex.org/W6654150093","https://openalex.org/W6678799340","https://openalex.org/W6697047307"],"related_works":["https://openalex.org/W1509813908","https://openalex.org/W2031820693","https://openalex.org/W3024816962","https://openalex.org/W973023320","https://openalex.org/W1910172735","https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2539388437","https://openalex.org/W2107688514","https://openalex.org/W2137288760"],"abstract_inverted_index":{"This":[0],"paper":[1,64],"proposes":[2],"low":[3,29,129],"latency":[4,30,130],"online":[5,31,120],"source":[6,32],"separation":[7],"in":[8,68,111],"noisy":[9,113],"environments.":[10],"An":[11],"approach":[12,36],"based":[13],"on":[14],"weighted":[15],"prediction":[16],"error":[17],"dereverberation":[18],"was":[19],"recently":[20],"proposed":[21,98,119],"to":[22],"solve":[23,60],"the":[24,43,49,54,74,84],"degradation":[25],"caused":[26],"by":[27,41,89],"using":[28,107],"separation.":[33],"Although":[34],"this":[35,61,63],"can":[37,80],"also":[38],"reduce":[39],"noise":[40,50,88,105,127],"increasing":[42],"number":[44],"of":[45,83],"microphones":[46],"and":[47,102,125],"separating":[48],"as":[51],"additional":[52],"sources,":[53],"calculation":[55],"cost":[56],"prohibitively":[57],"increases.":[58],"To":[59],"problem,":[62],"incorporates":[65],"techniques":[66],"used":[67],"independent":[69],"vector":[70],"extraction":[71],"(IVE)":[72],"into":[73],"above":[75],"conventional":[76],"approach.":[77],"Because":[78],"IVE":[79],"skip":[81],"most":[82],"calculations":[85],"for":[86],"estimating":[87],"assuming":[90],"that":[91,117],"it":[92],"is":[93],"a":[94,112],"stationary":[95],"Gaussian,":[96],"our":[97,118],"method":[99,121],"achieves":[100],"effective":[101],"computationally":[103],"efficient":[104],"reduction":[106],"many":[108],"microphones.":[109],"Experiments":[110],"car":[114],"environment":[115],"show":[116],"simultaneously":[122],"separates":[123],"sources":[124],"reduces":[126],"with":[128],"(<":[131],"12":[132],"ms)":[133],"processing.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}