{"id":"https://openalex.org/W153580899","doi":"https://doi.org/10.1007/0-387-22794-6_5","title":"Blind Source Separation Using Graphical Models","display_name":"Blind Source Separation Using Graphical Models","publication_year":2006,"publication_date":"2006-01-10","ids":{"openalex":"https://openalex.org/W153580899","doi":"https://doi.org/10.1007/0-387-22794-6_5","mag":"153580899"},"language":"en","primary_location":{"id":"doi:10.1007/0-387-22794-6_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-387-22794-6_5","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Speech Separation by Humans and Machines","raw_type":"book-chapter"},"type":"book-chapter","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/A5022408850","display_name":"Te-Won Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Te-Won Lee","raw_affiliation_strings":["Institute for Neural Computation, University of California, San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Neural Computation, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022408850"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.0961,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82900763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9976000189781189,"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/basis","display_name":"Basis (linear algebra)","score":0.6623570322990417},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6229385733604431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.59140545129776},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5619262456893921},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5383215546607971},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5220232605934143},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.513475239276886},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4954296350479126},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.483563631772995},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4569975733757019},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.45300447940826416},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4198795557022095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007720351219177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38230809569358826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.373763769865036},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.3525778651237488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.291983962059021},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2415042221546173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11761736869812012}],"concepts":[{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.6623570322990417},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6229385733604431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59140545129776},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5619262456893921},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5383215546607971},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5220232605934143},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.513475239276886},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4954296350479126},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.483563631772995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4569975733757019},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.45300447940826416},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4198795557022095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007720351219177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38230809569358826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.373763769865036},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.3525778651237488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.291983962059021},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2415042221546173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11761736869812012},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/0-387-22794-6_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-387-22794-6_5","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Speech Separation by Humans and Machines","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.467.5882","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.5882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://lib.ioa.ac.cn/ScienceDB/18TH-ICA/pdf/Mo2.D.5.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W88864901","https://openalex.org/W116662993","https://openalex.org/W132600079","https://openalex.org/W595249637","https://openalex.org/W1510095622","https://openalex.org/W1516111018","https://openalex.org/W1548802052","https://openalex.org/W1746680969","https://openalex.org/W1964538581","https://openalex.org/W1971027050","https://openalex.org/W1981276685","https://openalex.org/W2031700490","https://openalex.org/W2032243055","https://openalex.org/W2044222806","https://openalex.org/W2097191389","https://openalex.org/W2099741732","https://openalex.org/W2100133944","https://openalex.org/W2102865113","https://openalex.org/W2108384452","https://openalex.org/W2125280635","https://openalex.org/W2132998782","https://openalex.org/W2137969290","https://openalex.org/W2168793898","https://openalex.org/W2486584782","https://openalex.org/W2914008274","https://openalex.org/W2999905431","https://openalex.org/W4205778870","https://openalex.org/W4212774754","https://openalex.org/W4237840503","https://openalex.org/W4256399001","https://openalex.org/W4285719527","https://openalex.org/W4310638450"],"related_works":["https://openalex.org/W2360748229","https://openalex.org/W2002451346","https://openalex.org/W2389189059","https://openalex.org/W1988508022","https://openalex.org/W2376804836","https://openalex.org/W2114514937","https://openalex.org/W1509813908","https://openalex.org/W2118648338","https://openalex.org/W2031820693","https://openalex.org/W2137168560"],"abstract_inverted_index":{"We":[0],"summarized":[1],"our":[2],"approaches":[3,86],"for":[4],"separating":[5,57],"voices":[6,59],"from":[7,41],"mixed":[8,47],"recordings.":[9],"In":[10,49],"the":[11,24,28,54,78,107,112,118,128,136],"single":[12,129],"channel":[13,130,138],"case,":[14],"a":[15,39,91],"priori":[16],"learned":[17],"basis":[18,113],"functions":[19,114],"are":[20,75],"used":[21,36],"to":[22,37],"model":[23,93],"temporal":[25],"structure":[26],"of":[27,51,56,109,120,127],"speech":[29],"signals.":[30],"A":[31],"maximum":[32,79],"likelihood":[33,80],"approach":[34],"is":[35,131],"separate":[38],"voice":[40],"jazz":[42],"music":[43],"given":[44],"only":[45],"one":[46],"channel.":[48],"case":[50,126],"two":[52,58,62,85,137],"microphones,":[53],"problem":[55],"recorded":[60],"by":[61],"microphones":[63],"has":[64],"been":[65],"tackled.":[66],"The":[67,84,122],"mixing":[68],"coefficients,":[69],"time":[70],"delays":[71],"and":[72,115,133],"reverberation":[73],"coefficients":[74],"estimated":[76],"using":[77],"or":[81],"infomax":[82],"approach.":[83],"can":[87,97],"be":[88,98],"combined":[89],"in":[90,125,135],"graphical":[92],"since":[94],"both":[95],"methods":[96],"represented":[99],"as":[100],"data":[101],"generative":[102],"models":[103],"where":[104],"learning":[105],"involves":[106,117],"representation":[108],"signals":[110],"via":[111],"inference":[116,123],"estimation":[119],"sources.":[121],"part":[124],"nonlinear":[132],"linear":[134],"case.":[139]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
