{"id":"https://openalex.org/W2997587984","doi":"https://doi.org/10.1109/waspaa.2019.8937285","title":"Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer","display_name":"Simultaneous Denoising, Dereverberation, and Source Separation Using a Unified Convolutional Beamformer","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2997587984","doi":"https://doi.org/10.1109/waspaa.2019.8937285","mag":"2997587984"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa.2019.8937285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/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 Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, 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 Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, 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 Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"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/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":"Hiroshi Sawada","raw_affiliation_strings":["NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"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/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 Communication Science Laboratories, NTT Corporation, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"224","last_page":"228"},"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":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9975000023841858,"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/computer-science","display_name":"Computer science","score":0.6773704290390015},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5847901701927185},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5618424415588379},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5484977960586548},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.514826238155365},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.47106999158859253},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4449359178543091},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.4203486144542694},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4149460792541504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3287964463233948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25541603565216064},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2374476194381714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22688132524490356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773704290390015},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5847901701927185},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5618424415588379},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5484977960586548},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.514826238155365},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.47106999158859253},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4449359178543091},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.4203486144542694},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4149460792541504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3287964463233948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25541603565216064},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2374476194381714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22688132524490356},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa.2019.8937285","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1503775994","https://openalex.org/W1524333225","https://openalex.org/W1548802052","https://openalex.org/W1845880232","https://openalex.org/W1983812858","https://openalex.org/W1989314204","https://openalex.org/W2002146237","https://openalex.org/W2005733316","https://openalex.org/W2031583051","https://openalex.org/W2040782121","https://openalex.org/W2044342600","https://openalex.org/W2066218102","https://openalex.org/W2096819401","https://openalex.org/W2115969105","https://openalex.org/W2144244295","https://openalex.org/W2144404214","https://openalex.org/W2147665979","https://openalex.org/W2164502538","https://openalex.org/W2221409856","https://openalex.org/W2242685705","https://openalex.org/W2288645994","https://openalex.org/W2289394825","https://openalex.org/W2412956798","https://openalex.org/W2517616541","https://openalex.org/W2586584460","https://openalex.org/W2622203030","https://openalex.org/W2640112133","https://openalex.org/W2714509385","https://openalex.org/W2734774145","https://openalex.org/W2800194619","https://openalex.org/W2889224938","https://openalex.org/W2899672738","https://openalex.org/W2903083210","https://openalex.org/W2905402910","https://openalex.org/W2951130829","https://openalex.org/W2982471419","https://openalex.org/W2989287578","https://openalex.org/W3098052090","https://openalex.org/W4205778870","https://openalex.org/W6631362777","https://openalex.org/W6638690007","https://openalex.org/W6726313835","https://openalex.org/W6738686518"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2331622705","https://openalex.org/W2391832549","https://openalex.org/W2286653370","https://openalex.org/W1499578372","https://openalex.org/W2368849850","https://openalex.org/W2088447702"],"abstract_inverted_index":{"This":[0],"article":[1],"investigates":[2],"the":[3,61,64,90,94,99,108,111,116,119],"applicability":[4],"of":[5,63,97,118,124],"a":[6,25,41,49,83],"Weighted":[7,42],"Power":[8,51],"minimization":[9],"Distortionless":[10,52],"response":[11],"convolutional":[12],"beamformer":[13,32,54],"(WPD)":[14],"to":[15,68,75],"simultaneous":[16,69],"denoising,":[17],"dereverberation,":[18,72],"and":[19,36,48,71,93,106,129],"source":[20,76,84],"separation.":[21,77],"The":[22],"WPD":[23,65],"is":[24],"recently":[26],"proposed":[27],"maximum":[28],"likelihood":[29],"(ML)":[30],"convo-lutional":[31],"that":[33,88],"performs":[34],"denoising":[35,70],"dereverberation":[37,45],"simultaneously":[38],"by":[39],"unifying":[40],"Prediction":[43],"Error":[44],"method":[46,121],"(WPE)":[47],"Minimum":[50],"Response":[53],"(MPDR).":[55],"In":[56],"this":[57,79],"paper,":[58],"we":[59,81],"extend":[60],"application":[62],"not":[66],"only":[67],"but":[73],"also":[74],"For":[78],"purpose,":[80],"introduce":[82],"parameter":[85],"estimation":[86],"unit":[87,109],"estimates":[89],"steering":[91],"vectors":[92],"time-varying":[95],"powers":[96],"all":[98],"sources":[100],"from":[101],"noisy":[102],"reverberant":[103],"sound":[104],"mixtures,":[105],"integrate":[107],"with":[110],"WPD.":[112],"We":[113],"experimentally":[114],"confirm":[115],"effectiveness":[117],"integrated":[120],"in":[122],"terms":[123],"objective":[125],"speech":[126],"enhancement":[127],"measures":[128],"Automatic":[130],"Speech":[131],"Recognition":[132],"(ASR)":[133],"performance.":[134]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}