{"id":"https://openalex.org/W2407207493","doi":"https://doi.org/10.1109/icassp.2016.7471722","title":"Automatic allocation of NTF components for user-guided audio source separation","display_name":"Automatic allocation of NTF components for user-guided audio source separation","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2407207493","doi":"https://doi.org/10.1109/icassp.2016.7471722","mag":"2407207493"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471722","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":"gold","oa_url":"https://inria.hal.science/hal-01259430","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020934947","display_name":"\u00c7a\u011fda\u015f Bilen","orcid":"https://orcid.org/0000-0002-2176-2720"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Cagdas Bilen","raw_affiliation_strings":["975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073788938","display_name":"Alexey Ozerov","orcid":"https://orcid.org/0000-0003-4834-5166"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexey Ozerov","raw_affiliation_strings":["975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113908330","display_name":"Patrick P\u00e9rez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrick Perez","raw_affiliation_strings":["975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"975 Technicolor avenue des Champs Blancs, Cesson S\u00e9vign\u00e9, France","institution_ids":["https://openalex.org/I4210121266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7658,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70946936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"484","last_page":"488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9937999844551086,"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":0.9927999973297119,"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/source-separation","display_name":"Source separation","score":0.8017328977584839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470710277557373},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5872957706451416},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5696567296981812},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5609219074249268},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5328032970428467},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5296005606651306},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4620257318019867},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.43829232454299927},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.41401776671409607},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.41110002994537354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38113343715667725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3740524351596832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17697587609291077},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08725547790527344}],"concepts":[{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.8017328977584839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470710277557373},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5872957706451416},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5696567296981812},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5609219074249268},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5328032970428467},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5296005606651306},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4620257318019867},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.43829232454299927},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.41401776671409607},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.41110002994537354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38113343715667725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3740524351596832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17697587609291077},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08725547790527344},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7471722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471722","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:HAL:hal-01259430v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01259430","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'16), Mar 2016, Shanghai, China","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01259430v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01259430","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'16), Mar 2016, Shanghai, China","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W68855703","https://openalex.org/W1511451873","https://openalex.org/W1541169733","https://openalex.org/W1552708167","https://openalex.org/W1969952034","https://openalex.org/W1981755271","https://openalex.org/W2003020982","https://openalex.org/W2004959592","https://openalex.org/W2006590639","https://openalex.org/W2039844283","https://openalex.org/W2046233597","https://openalex.org/W2113990625","https://openalex.org/W2115594062","https://openalex.org/W2127851351","https://openalex.org/W2135029798","https://openalex.org/W2141061845","https://openalex.org/W2149368536","https://openalex.org/W2165944689","https://openalex.org/W2168509488","https://openalex.org/W2180822287","https://openalex.org/W2295824433","https://openalex.org/W6680012447","https://openalex.org/W7002123374"],"related_works":["https://openalex.org/W2107364365","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W2037504162","https://openalex.org/W1503525627","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2156699640"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1],"or":[2,116],"tensor":[3,19],"factorization":[4,20],"is":[5,30,123],"a":[6,105,118,141],"very":[7],"popular":[8],"approach":[9,139],"for":[10],"audio":[11,27,40],"source":[12,28,67,96,114],"separation.":[13],"One":[14],"important":[15],"problem":[16],"in":[17,22,42,98],"nonnegative":[18],"(NTF)":[21],"the":[23,31,36,52,55,80,84,91,95,99,108,137,145,149],"context":[24],"of":[25,111,128,144],"user-guided":[26],"separation":[29,68],"necessity":[32],"to":[33,39,44,47,64,79,135],"manually":[34],"assign":[35],"NTF":[37,65],"components":[38,112,146],"sources":[41,53],"order":[43],"be":[45],"able":[46],"enforce":[48],"prior":[49,92],"information":[50,93],"on":[51,94,107],"during":[54],"estimation":[56,100],"process.":[57],"In":[58],"this":[59],"paper,":[60],"two":[61],"new":[62],"approaches":[63],"based":[66],"are":[69,133],"proposed,":[70],"which":[71],"do":[72],"not":[73],"require":[74],"any":[75],"manual":[76,142],"component":[77,122],"assignment":[78,86],"sources,":[81],"but":[82],"estimate":[83],"underlying":[85],"automatically.":[87],"Both":[88],"algorithms":[89],"use":[90],"samples":[97],"process":[101],"along":[102],"with":[103,117,140],"either":[104],"limit":[106],"minimum":[109],"number":[110,127],"each":[113,121],"uses":[115],"restriction":[119],"that":[120],"used":[124],"by":[125],"sparse":[126],"sources.":[129,150],"The":[130],"proposed":[131],"methods":[132],"shown":[134],"outperform":[136],"classic":[138],"distribution":[143],"equally":[147],"among":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
