{"id":"https://openalex.org/W2902298796","doi":"https://doi.org/10.23919/eusipco.2018.8553584","title":"Unsupervised Singing Voice Separation Based on Robust Principal Component Analysis Exploiting Rank-1 Constraint","display_name":"Unsupervised Singing Voice Separation Based on Robust Principal Component Analysis Exploiting Rank-1 Constraint","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902298796","doi":"https://doi.org/10.23919/eusipco.2018.8553584","mag":"2902298796"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553584","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dspace.jaist.ac.jp/dspace/bitstream/10119/15513/1/EUSIPCO2018_Feng.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100448828","display_name":"Feng Li","orcid":"https://orcid.org/0000-0001-7633-7863"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Feng Li","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055059119","display_name":"Masato Akagi","orcid":"https://orcid.org/0000-0003-2450-6754"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Akagi","raw_affiliation_strings":["Japan Advanced Institute of Science and Technology, Ishikawa, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Advanced Institute of Science and Technology, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100448828"],"corresponding_institution_ids":["https://openalex.org/I177738480"],"apc_list":null,"apc_paid":null,"fwci":0.6633,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70627642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1920","last_page":"1924"},"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":0.9944999814033508,"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":0.993399977684021,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8245309591293335},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.7477375864982605},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6917190551757812},{"id":"https://openalex.org/keywords/singing","display_name":"Singing","score":0.6667301058769226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6137492060661316},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5586032867431641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4901643693447113},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4583778381347656},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4531288146972656},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4477531611919403},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.43846583366394043},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.43231499195098877},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43182867765426636},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.42033910751342773},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24869027733802795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18488305807113647},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07642430067062378}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8245309591293335},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.7477375864982605},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6917190551757812},{"id":"https://openalex.org/C44819458","wikidata":"https://www.wikidata.org/wiki/Q27939","display_name":"Singing","level":2,"score":0.6667301058769226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6137492060661316},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5586032867431641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4901643693447113},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4583778381347656},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4531288146972656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4477531611919403},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.43846583366394043},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.43231499195098877},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43182867765426636},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.42033910751342773},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24869027733802795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18488305807113647},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07642430067062378},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2018.8553584","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01333:0003026697","is_oa":true,"landing_page_url":"http://hdl.handle.net/10119/15513","pdf_url":"https://dspace.jaist.ac.jp/dspace/bitstream/10119/15513/1/EUSIPCO2018_Feng.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01333:0003026697","is_oa":true,"landing_page_url":"http://hdl.handle.net/10119/15513","pdf_url":"https://dspace.jaist.ac.jp/dspace/bitstream/10119/15513/1/EUSIPCO2018_Feng.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902298796.pdf","grobid_xml":"https://content.openalex.org/works/W2902298796.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482071412","https://openalex.org/W1594771616","https://openalex.org/W1736339626","https://openalex.org/W1842657353","https://openalex.org/W2002016907","https://openalex.org/W2009702064","https://openalex.org/W2022668263","https://openalex.org/W2038678505","https://openalex.org/W2098950531","https://openalex.org/W2111007352","https://openalex.org/W2127851351","https://openalex.org/W2145962650","https://openalex.org/W2164098335","https://openalex.org/W2221409856","https://openalex.org/W2318192700","https://openalex.org/W2403623315","https://openalex.org/W2405258286","https://openalex.org/W2552071709","https://openalex.org/W2617845986","https://openalex.org/W2669032454","https://openalex.org/W2765849780","https://openalex.org/W2916985722","https://openalex.org/W3123903546","https://openalex.org/W6674650384","https://openalex.org/W6676368125","https://openalex.org/W6713353306","https://openalex.org/W6713676406","https://openalex.org/W6745523051","https://openalex.org/W6759212570"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2107364365","https://openalex.org/W2046761971","https://openalex.org/W2118307209","https://openalex.org/W1785857632","https://openalex.org/W4281722104","https://openalex.org/W2187523794","https://openalex.org/W1503525627"],"abstract_inverted_index":{"In":[0,191],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,42,58,71,82,86,118,123,139,148,157,175,193,203],"singing":[6,32,39,52,76,96,112],"voice":[7,33,40,53,97,113],"separation":[8,34,54,172],"problem":[9],"and":[10,66,114,188],"propose":[11],"a":[12,29,90,106],"novel":[13],"unsupervised":[14],"approach":[15],"based":[16],"on":[17,186,196],"robust":[18],"principal":[19],"component":[20],"analysis":[21],"(RPCA)":[22],"exploiting":[23],"rank-1":[24,102,128],"constraint":[25,80,103,129],"(CRPCA).":[26],"RPCA":[27,46,135],"is":[28,160,198],"recently":[30],"proposed":[31,124],"algorithm":[35],"that":[36,167],"can":[37,104,144,169],"separate":[38,111],"from":[41,117],"monaural":[43],"recordings.":[44],"Although":[45],"has":[47,89],"been":[48],"successfully":[49],"applied":[50],"to":[51,69,110,181],"task,":[55],"it":[56],"ignores":[57],"different":[59,99,149],"characteristic":[60],"values":[61,133,150],"of":[62,131,137,151],"singular":[63,132,152],"value":[64,153],"decomposition":[65],"computational":[67],"complexity":[68,159],"minimize":[70],"nuclear":[72,141],"norm":[73],"for":[74],"separating":[75],"voice.":[77],"Since":[78],"rank-l":[79],"in":[81,93,134],"background":[83,87,115],"music,":[84],"as":[85],"music":[88,116,120],"large":[91],"variation":[92],"richness":[94],"than":[95,174,200],"among":[98],"songs.":[100],"Furthermore,":[101],"utilize":[105],"prior":[107],"target":[108],"rank":[109],"mixture":[119],"signal.":[121],"Accordingly,":[122],"CRPCA":[125,168,197],"method":[126],"utilizes":[127],"minimization":[130],"instead":[136],"minimizing":[138],"whole":[140],"norm,":[142],"which":[143],"not":[145],"only":[146],"describe":[147],"decomposition,":[154],"but":[155],"also":[156],"computation":[158],"reduced.":[161],"The":[162],"experiment":[163],"evaluation":[164],"results":[165],"reveal":[166],"achieve":[170],"better":[171],"performance":[173],"previous":[176],"methods,":[177],"especially":[178],"with":[179],"regard":[180],"use":[182],"time":[183,195],"frequency":[184],"masking":[185],"ccMixter":[187],"DSD100":[189],"datasets.":[190],"addition,":[192],"running":[194],"shorter":[199],"others":[201],"under":[202],"same":[204],"conditions.":[205]},"counts_by_year":[{"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":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}