{"id":"https://openalex.org/W3015328330","doi":"https://doi.org/10.1109/icassp40776.2020.9053785","title":"Joint Beamforming and Reverberation Cancellation Using a Constrained Kalman Filter With Multichannel Linear Prediction","display_name":"Joint Beamforming and Reverberation Cancellation Using a Constrained Kalman Filter With Multichannel Linear Prediction","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015328330","doi":"https://doi.org/10.1109/icassp40776.2020.9053785","mag":"3015328330"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5045333208","display_name":"Sahar Hashemgeloogerdi","orcid":"https://orcid.org/0000-0001-7352-7864"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sahar Hashemgeloogerdi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055277441","display_name":"Sebastian Braun","orcid":"https://orcid.org/0000-0001-9060-223X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sebastian Braun","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9859,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74476104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"481","last_page":"485"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7889584302902222},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.7233392596244812},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.6674023866653442},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5760396718978882},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5703532695770264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5289521217346191},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.50784832239151},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5010855197906494},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45545002818107605},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44949081540107727},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.4418964385986328},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.441129595041275},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.41989415884017944},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41219761967658997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24470973014831543},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13627588748931885},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.09889009594917297},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08685365319252014},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08466941118240356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889584302902222},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.7233392596244812},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.6674023866653442},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5760396718978882},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5703532695770264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5289521217346191},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.50784832239151},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5010855197906494},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45545002818107605},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44949081540107727},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.4418964385986328},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.441129595041275},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.41989415884017944},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41219761967658997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24470973014831543},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13627588748931885},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.09889009594917297},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08685365319252014},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08466941118240356},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1560969610","https://openalex.org/W1935589317","https://openalex.org/W1973669708","https://openalex.org/W1983812858","https://openalex.org/W1989314204","https://openalex.org/W2058619588","https://openalex.org/W2058986241","https://openalex.org/W2060108923","https://openalex.org/W2105934661","https://openalex.org/W2121973264","https://openalex.org/W2141998673","https://openalex.org/W2144404214","https://openalex.org/W2147665979","https://openalex.org/W2155638623","https://openalex.org/W2164502538","https://openalex.org/W2164570496","https://openalex.org/W2221137476","https://openalex.org/W2242685705","https://openalex.org/W2257581802","https://openalex.org/W2398042854","https://openalex.org/W2530782473","https://openalex.org/W2675614895","https://openalex.org/W2791272514","https://openalex.org/W2803583024","https://openalex.org/W2889224938","https://openalex.org/W2899672738","https://openalex.org/W2900235268","https://openalex.org/W2905402910","https://openalex.org/W2972728246","https://openalex.org/W2986631036","https://openalex.org/W3098052090","https://openalex.org/W3147539069"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2026603686","https://openalex.org/W2331622705","https://openalex.org/W2391832549","https://openalex.org/W4401069787","https://openalex.org/W1499578372","https://openalex.org/W2368849850"],"abstract_inverted_index":{"The":[0],"performance":[1],"of":[2,140],"speech":[3,151],"processing":[4,84],"systems":[5],"degrades":[6],"significantly":[7],"in":[8,37],"far-field":[9],"scenarios":[10],"where":[11],"the":[12,15,32,98,120,127,133,148],"distance":[13],"between":[14],"user":[16],"and":[17,24,34,40,78,143],"microphones":[18],"increases,":[19],"leading":[20],"to":[21,74,88,125],"low":[22],"signal-to-noise":[23],"signal-to-reverberation":[25],"ratios.":[26],"To":[27],"address":[28],"this":[29],"challenge,":[30],"combining":[31],"denoising":[33,77],"dereverberation":[35,79],"techniques":[36],"both":[38],"parallel":[39,49],"cascade":[41,51],"configurations":[42],"has":[43],"been":[44],"widely":[45],"studied.":[46],"However,":[47],"a":[48,59,65,108],"or":[50],"combination":[52],"may":[53],"not":[54],"be":[55],"efficient":[56],"while":[57,154],"imposing":[58],"large":[60],"computational":[61],"complexity.":[62],"We":[63,130],"propose":[64],"constrained":[66],"Kalman":[67],"filter":[68],"based":[69,96,113],"multichannel":[70],"linear":[71,144],"prediction":[72,145],"method":[73],"jointly":[75],"perform":[76],"efficiently":[80],"using":[81,107],"an":[82],"online":[83,138],"algorithm.":[85],"In":[86],"contrast":[87],"previously":[89],"proposed":[90,134],"methods":[91,146],"which":[92,116],"utilize":[93],"steering":[94,114],"vectors":[95],"on":[97,147],"relative":[99,110],"early":[100,128],"transfer":[101,111],"function,":[102],"our":[103],"algorithm":[104,135],"is":[105],"implemented":[106],"direct":[109,121],"function":[112],"vector,":[115],"aims":[117],"at":[118],"extracting":[119],"sound":[122],"as":[123],"opposed":[124],"preserving":[126],"reflections.":[129],"show":[131],"that":[132],"outperforms":[136],"existing":[137],"implementations":[139],"integrated":[141],"beamformer":[142],"REVERB":[149],"challenge":[150],"enhancement":[152],"task":[153],"being":[155],"computationally":[156],"less":[157],"complex.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}