{"id":"https://openalex.org/W4385486388","doi":"https://doi.org/10.1109/taslp.2023.3301227","title":"A Hybrid Reverberation Model and Its Application to Joint Speech Dereverberation and Separation","display_name":"A Hybrid Reverberation Model and Its Application to Joint Speech Dereverberation and Separation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385486388","doi":"https://doi.org/10.1109/taslp.2023.3301227"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3301227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3301227","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5103281803","display_name":"Tongzheng Liu","orcid":"https://orcid.org/0009-0009-7791-7742"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongzheng Liu","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0009-0009-7791-7742","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013571241","display_name":"Zhihua Lu","orcid":"https://orcid.org/0000-0003-3123-4961"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Lu","raw_affiliation_strings":["College of Information Science and Engineering, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3123-4961","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069416979","display_name":"Jo\u00e3o Paulo C. L. da Costa","orcid":"https://orcid.org/0000-0002-8616-4924"},"institutions":[{"id":"https://openalex.org/I4210088033","display_name":"Hamm-Lippstadt University of Applied Sciences","ror":"https://ror.org/001rdde17","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210088033"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Paulo J. da Costa","raw_affiliation_strings":["Department 2 Lippstadt, Hamm-Lippstadt University of Applied Sciences (HSHL), Hamm, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8616-4924","affiliations":[{"raw_affiliation_string":"Department 2 Lippstadt, Hamm-Lippstadt University of Applied Sciences (HSHL), Hamm, Germany","institution_ids":["https://openalex.org/I4210088033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011691028","display_name":"Tai Fei","orcid":"https://orcid.org/0000-0002-4789-4190"},"institutions":[{"id":"https://openalex.org/I454632","display_name":"Hella (Germany)","ror":"https://ror.org/02c5z9p32","country_code":"DE","type":"company","lineage":["https://openalex.org/I454632"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tai Fei","raw_affiliation_strings":["HELLA GmbH &amp; Co. KGaA, Lippstadt, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4789-4190","affiliations":[{"raw_affiliation_string":"HELLA GmbH &amp; Co. KGaA, Lippstadt, Germany","institution_ids":["https://openalex.org/I454632"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3647,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54376083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"31","issue":null,"first_page":"3000","last_page":"3014"},"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":0.9965000152587891,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9941999912261963,"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/reverberation","display_name":"Reverberation","score":0.9266523122787476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6578786969184875},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.648348331451416},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6191306114196777},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.480175644159317},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4389956295490265},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3926076591014862},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2554243803024292},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10410323739051819},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0957571268081665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07690873742103577}],"concepts":[{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.9266523122787476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578786969184875},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.648348331451416},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6191306114196777},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.480175644159317},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4389956295490265},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3926076591014862},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2554243803024292},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10410323739051819},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0957571268081665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07690873742103577},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3301227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3301227","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G1986534498","display_name":null,"funder_award_id":"61801255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1482328142","https://openalex.org/W1552314771","https://openalex.org/W1983812858","https://openalex.org/W1996304098","https://openalex.org/W2014768838","https://openalex.org/W2045043668","https://openalex.org/W2058986241","https://openalex.org/W2072548008","https://openalex.org/W2096819401","https://openalex.org/W2099741732","https://openalex.org/W2113990625","https://openalex.org/W2127851351","https://openalex.org/W2143027228","https://openalex.org/W2144404214","https://openalex.org/W2161784349","https://openalex.org/W2164502538","https://openalex.org/W2168273590","https://openalex.org/W2170768669","https://openalex.org/W2188374466","https://openalex.org/W2242685705","https://openalex.org/W2336913545","https://openalex.org/W2394726176","https://openalex.org/W2400112243","https://openalex.org/W2412956798","https://openalex.org/W2563063012","https://openalex.org/W2567647467","https://openalex.org/W2568308529","https://openalex.org/W2587329895","https://openalex.org/W2789388800","https://openalex.org/W2791272514","https://openalex.org/W2791524682","https://openalex.org/W2800675406","https://openalex.org/W2918296821","https://openalex.org/W2930641205","https://openalex.org/W2937284863","https://openalex.org/W2951431217","https://openalex.org/W2962866211","https://openalex.org/W2997453778","https://openalex.org/W2997688633","https://openalex.org/W2998843375","https://openalex.org/W3015564447","https://openalex.org/W3015845848","https://openalex.org/W3028504434","https://openalex.org/W3081267827","https://openalex.org/W3086154751","https://openalex.org/W3093410526","https://openalex.org/W3099177480","https://openalex.org/W3127348940","https://openalex.org/W3127686677","https://openalex.org/W3128534387","https://openalex.org/W3161538827","https://openalex.org/W3163542373","https://openalex.org/W3185812430","https://openalex.org/W4214901243","https://openalex.org/W4285203473","https://openalex.org/W6629041830","https://openalex.org/W6789826613"],"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":{"This":[0],"article":[1],"proposes":[2],"a":[3,121],"hybrid":[4,58,88,177],"reverberation":[5,26,69,89,112,178],"model":[6,18,59,76,90,119],"by":[7,109,115],"integrating":[8],"two":[9,30],"conventional":[10,54],"models,":[11,55],"namely,":[12],"the":[13,20,41,46,53,56,65,97,111,116,136,144,155,172,175],"multichannel":[14,98],"linear":[15],"prediction":[16],"(MCLP)":[17],"and":[19,40,81,124,166,168],"spatial":[21,47,117,137],"coherence":[22,48,118,138],"model.":[23,49,179],"The":[24,87,103],"late":[25],"is":[27,34,43,83,91,107,140],"divided":[28],"into":[29,85],"components.":[31],"One":[32],"component":[33,113],"modeled":[35,44,114],"using":[36,45],"an":[37],"MCLP":[38],"model,":[39],"other":[42],"In":[50,71],"contrast":[51],"with":[52,96],"proposed":[57,108,156,176],"increases":[60],"modeling":[61],"capacity,":[62],"especially":[63],"in":[64,94,147,160],"case":[66],"of":[67,135,162,174],"long":[68],"time.":[70],"order":[72],"to":[73,129,142],"optimally":[74],"estimate":[75],"parameters,":[77],"joint":[78,163],"speech":[79,130,164],"dereverberation":[80,165],"separation":[82],"taken":[84],"account.":[86],"then":[92],"used":[93],"conjunction":[95],"nonnegative":[99],"matrix":[100,139],"factorization":[101],"(MNMF).":[102],"method":[104,149],"called":[105,150],"Hybrid-FastMNMF":[106],"treating":[110],"as":[120],"noise":[122],"source":[123],"estimating":[125],"its":[126],"parameters":[127],"similarly":[128],"sources.":[131],"Furthermore,":[132],"prior":[133],"knowledge":[134],"employed":[141],"whiten":[143],"observations,":[145],"resulting":[146],"another":[148],"Hybrid-FastMNMF-W.":[151],"Experimental":[152],"findings":[153],"demonstrate":[154],"methods'":[157],"superior":[158],"performance":[159],"terms":[161],"separation,":[167],"they":[169],"further":[170],"justify":[171],"efficiency":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-28T08:01:55.173337","created_date":"2025-10-10T00:00:00"}
