{"id":"https://openalex.org/W2021798052","doi":"https://doi.org/10.1109/taslp.2014.2311299","title":"Multichannel Noise Reduction in the Karhunen-Lo\u00e8ve Expansion Domain","display_name":"Multichannel Noise Reduction in the Karhunen-Lo\u00e8ve Expansion Domain","publication_year":2014,"publication_date":"2014-03-11","ids":{"openalex":"https://openalex.org/W2021798052","doi":"https://doi.org/10.1109/taslp.2014.2311299","mag":"2021798052"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2014.2311299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2311299","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/A5002260602","display_name":"Yesenia Lacouture-Parodi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129353","display_name":"Huawei Technologies (Germany)","ror":"https://ror.org/038cdme44","country_code":"DE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yesenia Lacouture-Parodi","raw_affiliation_strings":["HUAWEI Technologies D\u00fcsseldorf GmbH, Munich Office, European Research Center, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"HUAWEI Technologies D\u00fcsseldorf GmbH, Munich Office, European Research Center, Munich, Germany","institution_ids":["https://openalex.org/I4210129353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031626756","display_name":"Emanu\u00ebl A. P. Habets","orcid":"https://orcid.org/0000-0002-2613-8046"},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210123192","display_name":"International Audio Laboratories Erlangen","ror":"https://ror.org/02mkz3e80","country_code":"DE","type":"facility","lineage":["https://openalex.org/I181369854","https://openalex.org/I4210123192","https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Emanuel A. P. Habets","raw_affiliation_strings":["International Audio Laboratories Erlangen, (a joint institution of the University of Erlangen-Nuremberg and Fraunhofer IIS), Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"International Audio Laboratories Erlangen, (a joint institution of the University of Erlangen-Nuremberg and Fraunhofer IIS), Erlangen, Germany","institution_ids":["https://openalex.org/I4210123192","https://openalex.org/I4210124274","https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi\u2019an, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi\u2019an, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Suite, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Suite, Canada","institution_ids":["https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002260602"],"corresponding_institution_ids":["https://openalex.org/I4210129353"],"apc_list":null,"apc_paid":null,"fwci":0.5885,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66594447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"5","first_page":"923","last_page":"936"},"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":0.9991999864578247,"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":0.996999979019165,"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/noise-reduction","display_name":"Noise reduction","score":0.7168956995010376},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.60069739818573},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5831233859062195},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5657493472099304},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5325939059257507},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.48752138018608093},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48470091819763184},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48306944966316223},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4563198685646057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44552743434906006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4310833811759949},{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.4298486113548279},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.41603997349739075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17336884140968323},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1622430980205536}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7168956995010376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.60069739818573},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5831233859062195},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5657493472099304},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5325939059257507},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.48752138018608093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48470091819763184},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48306944966316223},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4563198685646057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44552743434906006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4310833811759949},{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.4298486113548279},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.41603997349739075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17336884140968323},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1622430980205536},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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":3,"locations":[{"id":"doi:10.1109/taslp.2014.2311299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2014.2311299","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.727.9179","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.727.9179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://externe.emt.inrs.ca/users/benesty/papers/aslp_may2014.pdf","raw_type":"text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/241436","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/241436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W47527944","https://openalex.org/W167456299","https://openalex.org/W172871796","https://openalex.org/W317957491","https://openalex.org/W1506558619","https://openalex.org/W1515932869","https://openalex.org/W1891272442","https://openalex.org/W1975301756","https://openalex.org/W1992833709","https://openalex.org/W1999542175","https://openalex.org/W2003135305","https://openalex.org/W2061074721","https://openalex.org/W2066218102","https://openalex.org/W2089586791","https://openalex.org/W2096779346","https://openalex.org/W2101928763","https://openalex.org/W2112469598","https://openalex.org/W2113131123","https://openalex.org/W2115699901","https://openalex.org/W2116379893","https://openalex.org/W2116668371","https://openalex.org/W2117678320","https://openalex.org/W2118579084","https://openalex.org/W2121973264","https://openalex.org/W2128653836","https://openalex.org/W2148461771","https://openalex.org/W2163101527","https://openalex.org/W2164656607","https://openalex.org/W2165020812","https://openalex.org/W2166218055","https://openalex.org/W2297081539","https://openalex.org/W2344378632","https://openalex.org/W2914048585","https://openalex.org/W3147539069"],"related_works":["https://openalex.org/W4375869276","https://openalex.org/W3156260480","https://openalex.org/W4221152531","https://openalex.org/W2008181868","https://openalex.org/W2153894152","https://openalex.org/W2046186789","https://openalex.org/W2355125052","https://openalex.org/W2076268407","https://openalex.org/W2810291168","https://openalex.org/W2744059046"],"abstract_inverted_index":{"The":[0,97],"noise":[1,32,49,83,112,145],"reduction":[2,33,50,84,146],"problem":[3,34,51],"is":[4,56,103,121,128],"traditionally":[5],"approached":[6],"in":[7,35,52,70,108],"the":[8,24,30,36,48,53,68,100,124,136],"time,":[9],"frequency,":[10],"or":[11],"transform":[12,18],"domain.":[13],"Having":[14],"a":[15,59,64,88,141],"signal":[16,26],"dependent":[17],"has":[19,41],"shown":[20,122],"some":[21],"advantages":[22],"over":[23],"traditional":[25],"independent":[27],"transform.":[28],"Recently,":[29],"single-channel":[31,137],"Karhunen-Lo\u00e8ve":[37],"expansion":[38],"(KLE)":[39],"domain":[40,55],"received":[42],"special":[43],"attention.":[44],"In":[45],"this":[46,95],"paper,":[47],"KLE":[54],"studied":[57],"from":[58],"multichannel":[60,126],"perspective.":[61],"We":[62,79],"present":[63,87],"new":[65],"formulation":[66,127],"of":[67,90,99],"problem,":[69],"which":[71,109],"inter-channel":[72],"and":[73,86,139,147],"inter-mode":[74],"correlations":[75],"are":[76,118],"optimally":[77],"exploited.":[78],"derive":[80],"different":[81,101],"optimal":[82],"filters":[85,102],"set":[89],"useful":[91],"performance":[92,98],"measures":[93],"within":[94],"framework.":[96],"then":[104],"evaluated":[105],"through":[106],"experiments":[107],"not":[110],"only":[111],"but":[113],"also":[114],"competing":[115,132],"speech":[116,133,148],"sources":[117,134],"present.":[119],"It":[120],"that":[123,140],"proposed":[125],"more":[129],"robust":[130],"to":[131],"than":[135],"approach":[138],"better":[142],"compromise":[143],"between":[144],"distortion":[149],"can":[150],"be":[151],"obtained.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}