{"id":"https://openalex.org/W1931249336","doi":"https://doi.org/10.1109/icassp.2015.7177972","title":"NMF-based blind source separation using a linear predictive coding error clustering criterion","display_name":"NMF-based blind source separation using a linear predictive coding error clustering criterion","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1931249336","doi":"https://doi.org/10.1109/icassp.2015.7177972","mag":"1931249336"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7177972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7177972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5100749152","display_name":"Xin Guo","orcid":"https://orcid.org/0009-0003-3414-8564"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Xin Guo","raw_affiliation_strings":["\u00c9cole Polytechnique F\u00e8d\u00e8rale de Lausanne (EPFL), Lausanne, Switzerland","\u00c9cole Polyt\u00e9chnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland"],"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique F\u00e8d\u00e8rale de Lausanne (EPFL), Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"\u00c9cole Polyt\u00e9chnique F\u00e9d\u00e9rale de Lausanne (EPFL), Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010554448","display_name":"Stefan Uhlich","orcid":"https://orcid.org/0000-0003-3158-4945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Uhlich","raw_affiliation_strings":["Sony European Technology Center (EuTEC), Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"Sony European Technology Center (EuTEC), Stuttgart, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088754502","display_name":"Yuki Mitsufuji","orcid":"https://orcid.org/0000-0002-6806-6140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuki Mitsufuji","raw_affiliation_strings":["Sony Corporation, Audio Technology Development Department, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Sony Corporation, Audio Technology Development Department, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100749152"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":1.1488,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.78154151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"261","last_page":"265"},"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":0.9998000264167786,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.9265971183776855},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8611273765563965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6071562767028809},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5984281301498413},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5457931160926819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4948057532310486},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.48938173055648804},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4710939824581146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39875346422195435},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08936366438865662}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.9265971183776855},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8611273765563965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6071562767028809},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5984281301498413},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5457931160926819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4948057532310486},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.48938173055648804},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4710939824581146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39875346422195435},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08936366438865662},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2015.7177972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7177972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:216083","is_oa":false,"landing_page_url":"http://infoscience.epfl.ch/record/216083","pdf_url":null,"source":{"id":"https://openalex.org/S4306400488","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W1036275155","https://openalex.org/W1486994328","https://openalex.org/W1561135842","https://openalex.org/W1584895311","https://openalex.org/W1755563775","https://openalex.org/W1979654135","https://openalex.org/W1992385219","https://openalex.org/W2037271374","https://openalex.org/W2052384514","https://openalex.org/W2097361095","https://openalex.org/W2113154266","https://openalex.org/W2113217465","https://openalex.org/W2127851351","https://openalex.org/W2135029798","https://openalex.org/W2146544734","https://openalex.org/W2150415460","https://openalex.org/W2167353662","https://openalex.org/W2242076280","https://openalex.org/W2295245470","https://openalex.org/W3150091332","https://openalex.org/W4206180546","https://openalex.org/W4285719527","https://openalex.org/W6626886872","https://openalex.org/W6628900912","https://openalex.org/W6633727632","https://openalex.org/W6635089314","https://openalex.org/W6648595712","https://openalex.org/W6680012447","https://openalex.org/W6690257645","https://openalex.org/W6697236790","https://openalex.org/W7071105756"],"related_works":["https://openalex.org/W2167353662","https://openalex.org/W2748398497","https://openalex.org/W2097220523","https://openalex.org/W2156181515","https://openalex.org/W3008729892","https://openalex.org/W2913030842","https://openalex.org/W2039568605","https://openalex.org/W1990072977","https://openalex.org/W2611504951","https://openalex.org/W2146544734","https://openalex.org/W2578300946","https://openalex.org/W2963648832","https://openalex.org/W2562551209","https://openalex.org/W2171819471","https://openalex.org/W2168818958","https://openalex.org/W2106488367","https://openalex.org/W2031647436","https://openalex.org/W2020741987","https://openalex.org/W2162646593","https://openalex.org/W2055912867"],"abstract_inverted_index":{"Non-negative":[0],"matrix":[1],"factorization":[2],"(NMF)":[3],"based":[4,101],"sound":[5],"source":[6,33],"separation":[7],"involves":[8],"two":[9],"phases:":[10],"First,":[11],"the":[12,32,43,46,50,63,73,76,91,103,119,124,142,151],"signal":[13,34],"spectrum":[14],"is":[15,42,100],"decomposed":[16],"into":[17],"components":[18,121],"which,":[19],"in":[20,26,49],"a":[21,85,115],"second":[22,51],"step,":[23,52],"are":[24,60,71],"clustered":[25],"order":[27],"to":[28],"obtain":[29],"estimates":[30],"of":[31,45,66,75,97,118],"spectra.":[35],"The":[36],"major":[37],"challenge":[38],"with":[39,141],"this":[40,81],"approach":[41],"accuracy":[44],"clustering":[47,58,87,117,133,145],"algorithm":[48],"especially":[53],"as":[54,147],"most":[55],"previously":[56],"used":[57],"algorithms":[59,146],"focusing":[61],"on":[62,102,150],"frequency":[64,92],"part":[65,96],"NMF":[67,120],"only":[68],"and,":[69],"hence,":[70],"missing":[72],"information":[74],"time":[77,94,126],"activation":[78,95],"matrix.":[79],"In":[80],"paper,":[82],"we":[83,110,148],"propose":[84],"novel":[86],"criterion":[88,134],"which":[89],"combines":[90],"and":[93,109],"NMF.":[98],"It":[99],"linear":[104],"predictive":[105],"coding":[106],"compression":[107],"error":[108],"show":[111],"that":[112],"it":[113],"allows":[114],"good":[116],"while":[122],"at":[123],"same":[125],"can":[127],"be":[128],"efficiently":[129],"computed.":[130],"Our":[131],"new":[132],"shows":[135],"an":[136],"overall":[137],"improved":[138],"performance":[139],"compared":[140],"current":[143],"state-of-the-art":[144],"experiment":[149],"TRIOS":[152],"dataset.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}