{"id":"https://openalex.org/W1971204750","doi":"https://doi.org/10.1109/smc.2014.6974492","title":"Monophonic sound source separation by non-negative sparse autoencoders","display_name":"Monophonic sound source separation by non-negative sparse autoencoders","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1971204750","doi":"https://doi.org/10.1109/smc.2014.6974492","mag":"1971204750"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2014.6974492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65295/1/smc2014-zen.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057535222","display_name":"Keiki Zen","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiki Zen","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038802330","display_name":"Masahiro Suzuki","orcid":"https://orcid.org/0000-0001-8519-5617"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Suzuki","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102940408","display_name":"Haruhiko Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruhiko Sato","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056709028","display_name":"Satoshi Oyama","orcid":"https://orcid.org/0000-0002-8124-3578"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Oyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054412358","display_name":"Masahito Kurihara","orcid":"https://orcid.org/0000-0002-1478-1093"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahito Kurihara","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, #N#Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057535222"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.5823,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64496528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"3623","last_page":"3626"},"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":0.9994000196456909,"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":0.9980000257492065,"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/autoencoder","display_name":"Autoencoder","score":0.8380028009414673},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7285817861557007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6892024278640747},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6822916269302368},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6224783658981323},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6172855496406555},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5651988983154297},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5319523811340332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5306429266929626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5176202058792114},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4977016746997833},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4968245327472687},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4230992794036865},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3209877908229828},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08200788497924805}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8380028009414673},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7285817861557007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6892024278640747},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6822916269302368},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6224783658981323},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6172855496406555},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5651988983154297},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5319523811340332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5306429266929626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5176202058792114},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4977016746997833},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4968245327472687},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4230992794036865},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3209877908229828},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08200788497924805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc.2014.6974492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2014.6974492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/65295","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/65295","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65295/1/smc2014-zen.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings (author version)"}],"best_oa_location":{"id":"pmh:oai:eprints.lib.hokudai.ac.jp:2115/65295","is_oa":true,"landing_page_url":"http://hdl.handle.net/2115/65295","pdf_url":"https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/65295/1/smc2014-zen.pdf","source":{"id":"https://openalex.org/S4306400549","display_name":"Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205349734","host_organization_name":"Hokkaido University","host_organization_lineage":["https://openalex.org/I205349734"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"proceedings (author version)"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1971204750.pdf","grobid_xml":"https://content.openalex.org/works/W1971204750.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1246381107","https://openalex.org/W1556929283","https://openalex.org/W1902027874","https://openalex.org/W2072599882","https://openalex.org/W2090418688","https://openalex.org/W2112447569","https://openalex.org/W2118718620","https://openalex.org/W2135029798","https://openalex.org/W2163922914","https://openalex.org/W2169707717","https://openalex.org/W3143596294","https://openalex.org/W6676727762","https://openalex.org/W6677759377","https://openalex.org/W6680012447","https://openalex.org/W6684659202"],"related_works":["https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2156699640","https://openalex.org/W2098101267","https://openalex.org/W1979654135","https://openalex.org/W2156181515","https://openalex.org/W2081322759","https://openalex.org/W1984255382","https://openalex.org/W2339777604"],"abstract_inverted_index":{"Monophonic":[0],"sound":[1,49,111,126],"source":[2,50,112,127],"separation":[3,51,128],"is":[4,19,40,56,104],"an":[5],"essential":[6],"subject":[7],"on":[8],"the":[9,41,47,87,94,109,118,124],"fields":[10],"where":[11],"sound,":[12],"such":[13],"as":[14],"voice,":[15],"music":[16],"and":[17],"noise,":[18],"dealt":[20],"with.":[21],"In":[22,81],"particular,":[23],"unsupervised":[24],"approaches":[25],"to":[26,59,83,108],"this":[27,85,103],"problem":[28],"have":[29,100],"high":[30],"versatility":[31],"in":[32,78,93,132],"comparison":[33],"with":[34],"supervised":[35],"approaches.":[36],"Non-negative":[37],"matrix":[38,72],"factorization":[39,73],"most":[42],"frequently":[43],"used":[44,77],"algorithm":[45],"for":[46],"monophonic":[48,110,125],"without":[52,129],"prior":[53,130],"knowledge.":[54],"This":[55,114],"also":[57],"applied":[58,107],"various":[60],"applications,":[61],"including":[62],"data":[63],"clustering,":[64],"face":[65],"recognition,":[66],"gene":[67],"expression":[68],"classification.":[69],"However,":[70],"non-negative":[71,88,119],"cannot":[74],"be":[75],"efficiently":[76],"online":[79,133],"learning.":[80,134],"order":[82],"solve":[84],"difficulty,":[86],"sparse":[89,120],"autoencoder":[90,121],"was":[91],"proposed":[92],"literature.":[95],"Although":[96],"several":[97],"successful":[98],"applications":[99],"been":[101],"reported,":[102],"not":[105],"yet":[106],"separation.":[113],"paper":[115],"shows":[116],"that":[117],"can":[122],"perform":[123],"knowledge":[131]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}