{"id":"https://openalex.org/W4285787282","doi":"https://doi.org/10.1109/iros47612.2022.9981659","title":"Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments","display_name":"Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments","publication_year":2022,"publication_date":"2022-10-23","ids":{"openalex":"https://openalex.org/W4285787282","doi":"https://doi.org/10.1109/iros47612.2022.9981659"},"language":"en","primary_location":{"id":"doi:10.1109/iros47612.2022.9981659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981659","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.07296","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069659508","display_name":"Kouhei Sekiguchi","orcid":"https://orcid.org/0000-0001-6160-9301"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kouhei Sekiguchi","raw_affiliation_strings":["Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082272880","display_name":"Aditya Arie Nugraha","orcid":"https://orcid.org/0000-0001-5424-747X"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aditya Arie Nugraha","raw_affiliation_strings":["Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062623275","display_name":"Yicheng Du","orcid":null},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yicheng Du","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University,Kyoto,Japan","Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University,Kyoto,Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]},{"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/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]},{"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), Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","National Institute of Advanced Industrial Science and Technology (AIST), Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","institution_ids":["https://openalex.org/I4210126580","https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST), Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580","https://openalex.org/I73613424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082784886","display_name":"Mathieu Fontaine","orcid":"https://orcid.org/0000-0002-7657-6271"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathieu Fontaine","raw_affiliation_strings":["LTCI, Télécom Paris, Institut Polytechnique de Paris,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, Télécom Paris, Institut Polytechnique de Paris,Paris,France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067956319","display_name":"Kazuyoshi Yoshii","orcid":"https://orcid.org/0000-0001-8387-8609"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]},{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyoshi Yoshii","raw_affiliation_strings":["Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","Graduate School of Informatics, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN,Tokyo,Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.726,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69499528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9266","last_page":"9273"},"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":0.9994999766349792,"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":0.9994000196456909,"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":0.8363584280014038},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6719313263893127},{"id":"https://openalex.org/keywords/headset","display_name":"Headset","score":0.6706238389015198},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5486434698104858},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.5330421328544617},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5165130496025085},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4814954996109009},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.464197039604187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4532141089439392},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44328010082244873},{"id":"https://openalex.org/keywords/keyword-spotting","display_name":"Keyword spotting","score":0.41854000091552734},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.412422239780426},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.24117633700370789},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.15288078784942627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1420479118824005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8363584280014038},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6719313263893127},{"id":"https://openalex.org/C2780657452","wikidata":"https://www.wikidata.org/wiki/Q1193170","display_name":"Headset","level":2,"score":0.6706238389015198},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5486434698104858},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.5330421328544617},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5165130496025085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4814954996109009},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.464197039604187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4532141089439392},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44328010082244873},{"id":"https://openalex.org/C2781213101","wikidata":"https://www.wikidata.org/wiki/Q6398558","display_name":"Keyword spotting","level":2,"score":0.41854000091552734},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.412422239780426},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.24117633700370789},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.15288078784942627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1420479118824005},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iros47612.2022.9981659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros47612.2022.9981659","pdf_url":null,"source":{"id":"https://openalex.org/S4363607704","display_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.07296","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.07296","pdf_url":"https://arxiv.org/pdf/2207.07296","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-03727169v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-03727169","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), 2022, Kyoto, France","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2207.07296","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.07296","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.07296","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.07296","pdf_url":"https://arxiv.org/pdf/2207.07296","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W182689536","https://openalex.org/W1494198834","https://openalex.org/W1821462560","https://openalex.org/W1982728343","https://openalex.org/W1983812858","https://openalex.org/W2096733369","https://openalex.org/W2113638573","https://openalex.org/W2113990625","https://openalex.org/W2143027228","https://openalex.org/W2168729028","https://openalex.org/W2242685705","https://openalex.org/W2412956798","https://openalex.org/W2559260703","https://openalex.org/W2591810467","https://openalex.org/W2592600618","https://openalex.org/W2791480559","https://openalex.org/W2901136733","https://openalex.org/W2909607850","https://openalex.org/W2918296821","https://openalex.org/W2933708090","https://openalex.org/W2937284863","https://openalex.org/W2947360624","https://openalex.org/W2963197115","https://openalex.org/W2964058413","https://openalex.org/W2972757492","https://openalex.org/W2973171409","https://openalex.org/W2993464856","https://openalex.org/W3006399278","https://openalex.org/W3016131876","https://openalex.org/W3016230414","https://openalex.org/W3033988672","https://openalex.org/W3081267827","https://openalex.org/W3095406794","https://openalex.org/W3099206234","https://openalex.org/W3109079702","https://openalex.org/W3111616598","https://openalex.org/W3116165299","https://openalex.org/W3125815078","https://openalex.org/W3135445802","https://openalex.org/W3154562567","https://openalex.org/W3167533889","https://openalex.org/W3179026300","https://openalex.org/W6638523607","https://openalex.org/W6756486208","https://openalex.org/W6766380642","https://openalex.org/W6790121257","https://openalex.org/W6791494415","https://openalex.org/W6797761920"],"related_works":["https://openalex.org/W2919389044","https://openalex.org/W1997528538","https://openalex.org/W2777466939","https://openalex.org/W2108932455","https://openalex.org/W2890579888","https://openalex.org/W1966856063","https://openalex.org/W2593427229","https://openalex.org/W2390197506","https://openalex.org/W2377847981","https://openalex.org/W2962707588"],"abstract_inverted_index":{"This":[0,164],"paper":[1],"describes":[2],"the":[3,136,146,153,180,210,220,232],"practical":[4],"response-":[5],"and":[6,91,135,138,207],"performance-aware":[7],"development":[8],"of":[9,89,184],"online":[10,115],"speech":[11,90,116,140,183],"enhancement":[12,117],"for":[13,85,151,178],"an":[14,213],"augmented":[15],"reality":[16],"(AR)":[17],"headset":[18],"that":[19,50,78,219],"helps":[20],"a":[21,37,74,80,112,132,161,169,185,196,204],"user":[22],"understand":[23],"conversations":[24],"made":[25],"in":[26,53,103,131,203],"real":[27],"noisy":[28,137,181],"echoic":[29],"environments":[30,55],"(e.g.,":[31],"cocktail":[32],"party).":[33],"One":[34],"may":[35],"use":[36],"state-of-the-art":[38],"blind":[39,170],"source":[40],"separation":[41],"method":[42,77,118,165,172],"called":[43,173],"fast":[44],"multichannel":[45],"nonnegative":[46],"matrix":[47],"factorization":[48],"(FastMNMF)":[49],"works":[51],"well":[52],"various":[54],"thanks":[56],"to":[57,69],"its":[58,67],"unsupervised":[59],"nature.":[60],"Its":[61],"heavy":[62],"computational":[63],"cost,":[64],"however,":[65],"prevents":[66],"application":[68],"real-time":[70,95],"processing.":[71],"In":[72],"contrast,":[73],"supervised":[75],"beamforming":[76,122],"uses":[79],"deep":[81],"neural":[82],"network":[83],"(DNN)":[84],"estimating":[86],"spatial":[87],"information":[88],"noise":[92],"readily":[93],"fits":[94],"processing,":[96],"but":[97],"suffers":[98],"from":[99,191],"drastic":[100],"performance":[101],"degradation":[102],"mismatched":[104],"conditions.":[105],"Given":[106],"such":[107],"complementary":[108],"characteristics,":[109],"we":[110],"propose":[111],"dual-process":[113],"robust":[114],"based":[119],"on":[120],"DNN-based":[121],"with":[123,145,158,168,212,231],"FastMNMF-guided":[124],"adaptation.":[125],"FastMNMF":[126],"(back":[127],"end)":[128,157],"is":[129,166],"performed":[130],"mini-batch":[133],"style":[134],"enhanced":[139],"pairs":[141],"are":[142],"used":[143,167],"together":[144],"original":[147],"parallel":[148],"training":[149],"data":[150],"updating":[152],"direction-aware":[154],"DNN":[155],"(front":[156],"backpropagation":[159],"at":[160],"computationally-allowable":[162],"interval.":[163],"dereverberation":[171],"weighted":[174],"prediction":[175],"error":[176,222],"(WPE)":[177],"transcribing":[179],"reverberant":[182],"speaker,":[186],"which":[187],"can":[188],"be":[189],"detected":[190],"video":[192],"or":[193,200],"selected":[194],"by":[195,226],"user's":[197],"hand":[198],"gesture":[199],"eye":[201],"gaze,":[202],"streaming":[205],"manner":[206],"spatially":[208],"showing":[209],"transcriptions":[211],"AR":[214],"technique.":[215],"Our":[216],"experiment":[217],"showed":[218],"word":[221],"rate":[223],"was":[224],"improved":[225],"more":[227],"than":[228],"10":[229],"points":[230],"run-time":[233],"adaptation":[234],"using":[235],"only":[236],"twelve":[237],"minutes":[238],"observation.":[239]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2022-07-19T00:00:00"}