{"id":"https://openalex.org/W2405739207","doi":"https://doi.org/10.1109/icassp.2016.7471643","title":"LCMV beamforming with subspace projection for multi-speaker speech enhancement","display_name":"LCMV beamforming with subspace projection for multi-speaker speech enhancement","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2405739207","doi":"https://doi.org/10.1109/icassp.2016.7471643","mag":"2405739207"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/525483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102753140","display_name":"Amin Hassani","orcid":"https://orcid.org/0000-0003-3872-1981"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Amin Hassani","raw_affiliation_strings":["KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065884964","display_name":"Alexander Bertrand","orcid":"https://orcid.org/0000-0002-4827-8568"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Alexander Bertrand","raw_affiliation_strings":["KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051849103","display_name":"Marc Moonen","orcid":"https://orcid.org/0000-0003-4461-0073"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Marc Moonen","raw_affiliation_strings":["KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium"],"affiliations":[{"raw_affiliation_string":"KU Leuven, Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102753140"],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":2.0174,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87299035,"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":"91","last_page":"95"},"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":0.9990000128746033,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/subspace-topology","display_name":"Subspace topology","score":0.7835913896560669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7132463455200195},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6154752373695374},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6142448782920837},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6035912036895752},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5935245752334595},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.5784621238708496},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5660018920898438},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5169841051101685},{"id":"https://openalex.org/keywords/eigendecomposition-of-a-matrix","display_name":"Eigendecomposition of a matrix","score":0.5105305910110474},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.44928550720214844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41860151290893555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35419243574142456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29818692803382874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20539066195487976},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.1533927023410797},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12569910287857056}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7835913896560669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7132463455200195},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6154752373695374},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6142448782920837},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6035912036895752},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5935245752334595},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5784621238708496},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5660018920898438},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5169841051101685},{"id":"https://openalex.org/C169756996","wikidata":"https://www.wikidata.org/wiki/Q194919","display_name":"Eigendecomposition of a matrix","level":3,"score":0.5105305910110474},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.44928550720214844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41860151290893555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35419243574142456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29818692803382874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20539066195487976},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.1533927023410797},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12569910287857056},{"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/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7471643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/525483","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/525483","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2016, Shanghai, China, March 2016","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/525483","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/525483","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2016, Shanghai, China, March 2016","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1651870529","https://openalex.org/W1991899119","https://openalex.org/W2060108923","https://openalex.org/W2096779346","https://openalex.org/W2111320049","https://openalex.org/W2117678320","https://openalex.org/W2137048499","https://openalex.org/W2148024641","https://openalex.org/W2155638623","https://openalex.org/W2162654459","https://openalex.org/W2294073835","https://openalex.org/W4213083691","https://openalex.org/W4249052411","https://openalex.org/W6697297406"],"related_works":["https://openalex.org/W35176419","https://openalex.org/W2385432413","https://openalex.org/W2101546100","https://openalex.org/W2108334821","https://openalex.org/W2127095651","https://openalex.org/W2559582501","https://openalex.org/W2920316261","https://openalex.org/W2388494794","https://openalex.org/W2086337124","https://openalex.org/W2389878978"],"abstract_inverted_index":{"The":[0,123],"linearly":[1],"constrained":[2],"minimum":[3],"variance":[4],"(LCMV)":[5],"beamformer":[6,44,94,115],"has":[7],"been":[8],"widely":[9],"employed":[10],"to":[11,50,86,92,108],"extract":[12],"(a":[13],"mixture":[14],"of)":[15],"multiple":[16],"desired":[17,52],"speech":[18,33],"signals":[19,34,55],"from":[20],"a":[21,64,69,93,104],"collection":[22],"of":[23,63,112,134],"microphone":[24],"signals,":[25],"which":[26],"are":[27,84],"also":[28],"polluted":[29],"by":[30,61,116,127,132],"other":[31],"interfering":[32],"and":[35,53],"noise":[36],"components.":[37],"In":[38,74,99],"many":[39],"practical":[40],"applications,":[41],"the":[42,47,51,110,113,118],"LCMV":[43,114],"requires":[45],"that":[46,80],"subspace":[48,105],"corresponding":[49],"interferer":[54],"is":[56,130],"either":[57],"known,":[58],"or":[59],"estimated":[60],"means":[62,133],"data-driven":[65],"procedure,":[66],"e.g.,":[67],"using":[68],"generalized":[70],"eigenvalue":[71],"decomposition":[72],"(GEVD).":[73],"practice,":[75],"however,":[76],"it":[77],"often":[78],"occurs":[79],"insufficient":[81],"relevant":[82],"samples":[83],"available":[85,119],"accurately":[87],"estimate":[88],"these":[89],"subspaces,":[90],"leading":[91],"with":[95],"poor":[96],"output":[97],"performance.":[98],"this":[100,128],"paper":[101],"we":[102],"propose":[103],"projection-based":[106],"approach":[107,129],"improve":[109],"performance":[111,125],"exploiting":[117],"data":[120],"more":[121],"efficiently.":[122],"improved":[124],"achieved":[126],"demonstrated":[131],"simulation":[135],"results.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
