{"id":"https://openalex.org/W3168109306","doi":"https://doi.org/10.1049/ccs2.12023","title":"Exploring conventional enhancement and separation methods for multi\u2010speech enhancement in indoor environments","display_name":"Exploring conventional enhancement and separation methods for multi\u2010speech enhancement in indoor environments","publication_year":2021,"publication_date":"2021-05-30","ids":{"openalex":"https://openalex.org/W3168109306","doi":"https://doi.org/10.1049/ccs2.12023","mag":"3168109306"},"language":"en","primary_location":{"id":"doi:10.1049/ccs2.12023","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ccs2.12023","pdf_url":null,"source":{"id":"https://openalex.org/S4210220299","display_name":"Cognitive Computation and Systems","issn_l":"2517-7567","issn":["2517-7567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1049/ccs2.12023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025048527","display_name":"Yangjie Wei","orcid":"https://orcid.org/0000-0001-6615-5484"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangjie Wei","raw_affiliation_strings":["College of Computer Science and Engineering Northeastern University  Shenyang China","College of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6615-5484","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365672","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0001-5073-959X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["College of Computer Science and Engineering Northeastern University  Shenyang China","College of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102877551","display_name":"Dan Wu","orcid":"https://orcid.org/0000-0003-3170-9912"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Wu","raw_affiliation_strings":["College of Computer Science and Engineering Northeastern University  Shenyang China","College of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102265790","display_name":"Zhongqi Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongqi Hu","raw_affiliation_strings":["College of Computer Science and Engineering Northeastern University  Shenyang China","College of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5025048527"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2000,"currency":"EUR","value_usd":2200},"apc_paid":{"value":2000,"currency":"EUR","value_usd":2200},"fwci":0.4491,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59470355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"3","issue":"4","first_page":"307","last_page":"322"},"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":0.9961000084877014,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.992900013923645,"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/speech-enhancement","display_name":"Speech enhancement","score":0.9277032613754272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144548892974854},{"id":"https://openalex.org/keywords/performance-enhancement","display_name":"Performance enhancement","score":0.6209062933921814},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5519381165504456},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5165942907333374},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4975784122943878},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47180357575416565},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.44129276275634766},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.42125511169433594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2600613832473755},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.22600528597831726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1590602993965149},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.13884854316711426},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09708747267723083},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09323650598526001}],"concepts":[{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.9277032613754272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144548892974854},{"id":"https://openalex.org/C2986800882","wikidata":"https://www.wikidata.org/wiki/Q7168187","display_name":"Performance enhancement","level":2,"score":0.6209062933921814},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5519381165504456},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5165942907333374},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4975784122943878},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47180357575416565},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.44129276275634766},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.42125511169433594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2600613832473755},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.22600528597831726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1590602993965149},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.13884854316711426},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09708747267723083},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09323650598526001},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1049/ccs2.12023","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ccs2.12023","pdf_url":null,"source":{"id":"https://openalex.org/S4210220299","display_name":"Cognitive Computation and Systems","issn_l":"2517-7567","issn":["2517-7567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation and Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad14f54094b34cea800ec3477049cde4","is_oa":true,"landing_page_url":"https://doaj.org/article/ad14f54094b34cea800ec3477049cde4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cognitive Computation and Systems, Vol 3, Iss 4, Pp 307-322 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1049/ccs2.12023","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ccs2.12023","pdf_url":null,"source":{"id":"https://openalex.org/S4210220299","display_name":"Cognitive Computation and Systems","issn_l":"2517-7567","issn":["2517-7567"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W189850294","https://openalex.org/W1755563775","https://openalex.org/W1970789124","https://openalex.org/W2026655013","https://openalex.org/W2076145524","https://openalex.org/W2093225945","https://openalex.org/W2096855653","https://openalex.org/W2103049885","https://openalex.org/W2108384452","https://openalex.org/W2127851351","https://openalex.org/W2145563317","https://openalex.org/W2146830170","https://openalex.org/W2151938450","https://openalex.org/W2158143227","https://openalex.org/W2168273590","https://openalex.org/W2170768669","https://openalex.org/W2586584460","https://openalex.org/W2792498316","https://openalex.org/W2962866211","https://openalex.org/W3118741191"],"related_works":["https://openalex.org/W4252230435","https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W2803318287","https://openalex.org/W2124672476","https://openalex.org/W3168109306","https://openalex.org/W2407680366"],"abstract_inverted_index":{"Abstract":[0],"Speech":[1],"enhancement":[2,40,51,66,70,87,99,126,142,161,169,184,192],"is":[3,96,123,152,155],"an":[4,49],"important":[5],"preprocessing":[6],"step":[7],"in":[8,71,179,186],"a":[9,34,54],"wide":[10],"diversity":[11],"of":[12,33,39,64,74,86,148,159,171,182,189,205],"practical":[13],"fields":[14],"related":[15],"to":[16,47,60],"speech":[17,28,150],"signals,":[18],"and":[19,36,79,91,115,131,136,173,222,233],"many":[20],"signal\u2010processing":[21],"methods":[22,67,194],"have":[23],"already":[24],"been":[25],"proposed":[26,90],"for":[27,42,53,68],"enhancement.":[29],"However,":[30],"the":[31,62,97,124,146,156,168,180,187,190,214,218,236,249],"lack":[32],"comprehensive":[35,157,227],"quantitative":[37],"evaluation":[38],"performance":[41,143,158,216,228],"multi\u2010speech":[43,55,69],"makes":[44],"it":[45],"difficult":[46],"choose":[48],"appropriate":[50],"method":[52],"application.":[56],"This":[57],"work":[58],"aims":[59],"study":[61],"implementation":[63],"several":[65],"indoor":[72],"environments":[73],"T60":[75,80],"=":[76,81],"0":[77],"s":[78],"0.3":[82],"s.":[83],"Two":[84],"types":[85],"approaches":[88],"are":[89,175],"compared.":[92],"The":[93,120,163,226],"first":[94],"type":[95,122],"basic":[98,183],"methods,":[100,127],"including":[101,128],"delay\u2010and\u2010sum":[102],"beamforming":[103],"(DSB),":[104],"minimum":[105,112],"variance":[106,113],"distortionless":[107],"response":[108],"(MVDR),":[109],"linearly":[110],"constrained":[111],"(LCMV),":[114],"independent":[116],"component":[117],"analysis":[118],"(ICA).":[119],"second":[121],"robust":[125],"improved":[129,191],"MVDR":[130],"LCMV":[132,172,232],"realized":[133],"by":[134],"eigendecomposition":[135],"diagonal":[137,197],"loading.":[138],"In":[139,203],"addition,":[140],"online":[141,206],"based":[144],"on":[145,217],"iteration":[147],"single\u2010frame":[149],"signals":[151],"researched,":[153],"as":[154],"various":[160],"methods.":[162],"experimental":[164],"results":[165],"show":[166,200],"that":[167,195,231],"effects":[170,238],"ICA":[174,234],"relatively":[176],"more":[177],"stable":[178],"case":[181,188],"methods;":[185],"algorithms,":[193],"employ":[196],"loading":[198],"iterations":[199],"better":[201],"performance.":[202],"terms":[204],"enhancement,":[207],"DSB":[208,245],"with":[209,246],"frequency":[210],"masking":[211],"(FM)":[212],"yields":[213],"best":[215,237,250],"signal\u2010to\u2010interference":[219],"ratio":[220],"(SIR)":[221],"can":[223],"suppress":[224],"interference.":[225],"test":[229],"showed":[230],"yielded":[235,248],"when":[239,253],"there":[240],"was":[241,255],"no":[242],"reverberation,":[243],"while":[244],"FM":[247],"SIR":[251],"value":[252],"reverberation":[254],"present.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
