{"id":"https://openalex.org/W2406821571","doi":"https://doi.org/10.1109/icassp.2016.7471637","title":"A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings","display_name":"A score-informed shift-invariant extension of complex matrix factorization for improving the separation of overlapped partials in music recordings","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2406821571","doi":"https://doi.org/10.1109/icassp.2016.7471637","mag":"2406821571"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471637","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://qmro.qmul.ac.uk/xmlui/bitstream/123456789/12558/1/Ewert%20A%20score-informed%202016%20Accepted.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063323121","display_name":"Francisco J. Rodr\u00edguez-Serrano","orcid":"https://orcid.org/0000-0002-4708-6898"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco J. Rodriguez-Serrano","raw_affiliation_strings":["Universidad de Ja\u00e9n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001413512","display_name":"Sebastian Ewert","orcid":"https://orcid.org/0000-0002-0718-0476"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sebastian Ewert","raw_affiliation_strings":["Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064887627","display_name":"P. Vera\u2010Candeas","orcid":"https://orcid.org/0000-0003-0866-703X"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Vera-Candeas","raw_affiliation_strings":["Universidad de Ja\u00e9n, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Ja\u00e9n, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076173089","display_name":"M. Sandler","orcid":"https://orcid.org/0000-0002-5691-8107"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Sandler","raw_affiliation_strings":["Queen Mary University of London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0421,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87464087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"65"},"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/T11309","display_name":"Music 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/T11349","display_name":"Music Technology and Sound Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8952319025993347},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7225944995880127},{"id":"https://openalex.org/keywords/vibrato","display_name":"Vibrato","score":0.7145407199859619},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6074398756027222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5273702144622803},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5177837610244751},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5104131102561951},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47355523705482483},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4580061435699463},{"id":"https://openalex.org/keywords/euclidean-algorithm","display_name":"Euclidean algorithm","score":0.43109130859375},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4193646311759949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4043145179748535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37301918864250183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35616692900657654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226214647293091},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11549302935600281},{"id":"https://openalex.org/keywords/singing","display_name":"Singing","score":0.09742558002471924},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08567285537719727}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8952319025993347},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7225944995880127},{"id":"https://openalex.org/C2781100714","wikidata":"https://www.wikidata.org/wiki/Q377435","display_name":"Vibrato","level":3,"score":0.7145407199859619},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6074398756027222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273702144622803},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5177837610244751},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5104131102561951},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47355523705482483},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4580061435699463},{"id":"https://openalex.org/C98371066","wikidata":"https://www.wikidata.org/wiki/Q230848","display_name":"Euclidean algorithm","level":2,"score":0.43109130859375},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4193646311759949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4043145179748535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37301918864250183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35616692900657654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226214647293091},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11549302935600281},{"id":"https://openalex.org/C44819458","wikidata":"https://www.wikidata.org/wiki/Q27939","display_name":"Singing","level":2,"score":0.09742558002471924},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08567285537719727},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2016.7471637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471637","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:qmro.qmul.ac.uk:123456789/12558","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/12558","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/12558/1/Ewert%20A%20score-informed%202016%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/12558","is_oa":true,"landing_page_url":"http://qmro.qmul.ac.uk/xmlui/handle/123456789/12558","pdf_url":"https://qmro.qmul.ac.uk/xmlui/bitstream/123456789/12558/1/Ewert%20A%20score-informed%202016%20Accepted.pdf","source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G7824420385","display_name":null,"funder_award_id":"EP/J010375/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8217561489","display_name":null,"funder_award_id":"EP/L019981/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2406821571.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W216468625","https://openalex.org/W1246381107","https://openalex.org/W1272306948","https://openalex.org/W1491186237","https://openalex.org/W1498858047","https://openalex.org/W1580974668","https://openalex.org/W1981755271","https://openalex.org/W2017548439","https://openalex.org/W2023800933","https://openalex.org/W2067200573","https://openalex.org/W2098101267","https://openalex.org/W2100816929","https://openalex.org/W2102820094","https://openalex.org/W2105143211","https://openalex.org/W2105921478","https://openalex.org/W2113217465","https://openalex.org/W2120160933","https://openalex.org/W2126252750","https://openalex.org/W2137615134","https://openalex.org/W2139122061","https://openalex.org/W2149368536","https://openalex.org/W2150415460","https://openalex.org/W2163312093","https://openalex.org/W2166444141","https://openalex.org/W2238307383","https://openalex.org/W2400942170","https://openalex.org/W2404264857","https://openalex.org/W3152035499","https://openalex.org/W6608443260","https://openalex.org/W6628322026","https://openalex.org/W6675268804","https://openalex.org/W6680537643","https://openalex.org/W6712418219","https://openalex.org/W6713705710"],"related_works":["https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2921513691","https://openalex.org/W2156699640","https://openalex.org/W2098101267","https://openalex.org/W1979654135","https://openalex.org/W2156181515","https://openalex.org/W1984255382","https://openalex.org/W2576645943"],"abstract_inverted_index":{"Similar":[0],"to":[1,13,25,54,88,108,128,136,154],"non-negative":[2],"matrix":[3,7,72],"factorization":[4,8],"(NMF),":[5],"complex":[6],"(CMF)":[9],"can":[10,38],"be":[11],"used":[12],"decompose":[14],"a":[15,35,78,101,120,125],"given":[16],"music":[17,59],"recording":[18],"into":[19],"individual":[20],"sound":[21],"sources.":[22],"In":[23,92],"contrast":[24],"NMF,":[26],"CMF":[27,111,129],"models":[28],"both":[29],"the":[30,40,46,66,110,131,147],"magnitude":[31],"and":[32],"phase":[33,71],"of":[34,42,68,81,103,134],"source,":[36],"which":[37,85],"improve":[39],"separation":[41,148],"overlapped":[43,151],"partials.":[44],"However,":[45],"shift-invariance":[47],"for":[48,73,150],"spectral":[49],"templates":[50],"enabling":[51],"NMF-based":[52],"methods":[53],"efficiently":[55],"model":[56],"vibrato":[57],"in":[58,77,83],"is":[60],"not":[61],"available":[62],"with":[63],"CMF.":[64,137],"Further,":[65],"estimation":[67],"an":[69],"entire":[70],"each":[74],"source":[75,102],"results":[76],"high":[79],"number":[80],"parameters":[82],"CMF,":[84],"often":[86],"leads":[87],"poor":[89],"local":[90],"minima.":[91],"this":[93],"paper":[94],"we":[95,123],"show":[96],"that":[97],"score":[98],"information":[99],"provides":[100],"prior":[104],"knowledge":[105],"rich":[106],"enough":[107],"stabilize":[109],"parameter":[112],"estimation,":[113],"without":[114],"sacrificing":[115],"its":[116],"expressive":[117],"power.":[118],"As":[119,138],"second":[121],"contribution,":[122],"present":[124],"shift-invariant":[126],"extension":[127],"bringing":[130],"vibrato-modeling":[132],"capabilities":[133],"NMF":[135],"our":[139,142],"experiments":[140],"demonstrate":[141],"proposed":[143],"method":[144],"consistently":[145],"improves":[146],"quality":[149],"partials":[152],"compared":[153],"score-informed":[155],"NMF.":[156]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}