{"id":"https://openalex.org/W4206634335","doi":"https://doi.org/10.23919/eusipco54536.2021.9616154","title":"Unsupervised Blind Source Separation with Variational Auto-Encoders","display_name":"Unsupervised Blind Source Separation with Variational Auto-Encoders","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206634335","doi":"https://doi.org/10.23919/eusipco54536.2021.9616154"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616154","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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/A5048454744","display_name":"Julian Neri","orcid":"https://orcid.org/0000-0002-2990-7955"},"institutions":[{"id":"https://openalex.org/I4210145168","display_name":"Centre for Interdisciplinary Research in Music Media and Technology","ror":"https://ror.org/03f3kev64","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210145168"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Julian Neri","raw_affiliation_strings":["CIRMMT, McGill University, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"CIRMMT, McGill University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210145168","https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028865449","display_name":"Roland Badeau","orcid":"https://orcid.org/0000-0002-9630-6877"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Roland Badeau","raw_affiliation_strings":["LTCI, T\u00e9l\u00e9com Paris, Institut Polytechnique de Paris, France"],"affiliations":[{"raw_affiliation_string":"LTCI, T\u00e9l\u00e9com Paris, Institut Polytechnique de Paris, France","institution_ids":["https://openalex.org/I4210165912","https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061375282","display_name":"Philippe Depalle","orcid":"https://orcid.org/0000-0001-9251-3740"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I4210145168","display_name":"Centre for Interdisciplinary Research in Music Media and Technology","ror":"https://ror.org/03f3kev64","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210145168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Depalle","raw_affiliation_strings":["CIRMMT, McGill University, Montr\u00e9al, Canada"],"affiliations":[{"raw_affiliation_string":"CIRMMT, McGill University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210145168","https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048454744"],"corresponding_institution_ids":["https://openalex.org/I4210145168","https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":3.7848,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97447952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"315"},"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":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9987000226974487,"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/blind-signal-separation","display_name":"Blind signal separation","score":0.7551333904266357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7489275932312012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7052492499351501},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.6852373480796814},{"id":"https://openalex.org/keywords/decodes","display_name":"Decodes","score":0.6467901468276978},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6465829014778137},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6409054398536682},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6385264992713928},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5788822770118713},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5456994771957397},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.49084287881851196},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.457607239484787},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43850740790367126},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43273305892944336},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4135918915271759},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.2899499833583832},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.23947298526763916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20389923453330994}],"concepts":[{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.7551333904266357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7489275932312012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7052492499351501},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.6852373480796814},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.6467901468276978},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6465829014778137},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6409054398536682},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6385264992713928},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5788822770118713},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5456994771957397},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.49084287881851196},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.457607239484787},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43850740790367126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43273305892944336},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4135918915271759},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2899499833583832},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.23947298526763916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20389923453330994},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616154","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616154","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1516111018","https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W2039844283","https://openalex.org/W2064076387","https://openalex.org/W2119647652","https://openalex.org/W2127851351","https://openalex.org/W2137615134","https://openalex.org/W2164098335","https://openalex.org/W2221409856","https://openalex.org/W2225156818","https://openalex.org/W2269892441","https://openalex.org/W2737057113","https://openalex.org/W2753738274","https://openalex.org/W2889205417","https://openalex.org/W2905258586","https://openalex.org/W2918296821","https://openalex.org/W2950821630","https://openalex.org/W2953368614","https://openalex.org/W2955263139","https://openalex.org/W2963933499","https://openalex.org/W2963992487","https://openalex.org/W2964058413","https://openalex.org/W2972460025","https://openalex.org/W2989942677","https://openalex.org/W2989955315","https://openalex.org/W3003515798","https://openalex.org/W3015893807","https://openalex.org/W3093839391","https://openalex.org/W3157481694","https://openalex.org/W4245727854","https://openalex.org/W4256399001","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6741813933","https://openalex.org/W6744627333","https://openalex.org/W6756621649","https://openalex.org/W6765147365","https://openalex.org/W6765634264","https://openalex.org/W6784499681"],"related_works":["https://openalex.org/W2360748229","https://openalex.org/W2002451346","https://openalex.org/W2389189059","https://openalex.org/W1988508022","https://openalex.org/W2376804836","https://openalex.org/W2114514937","https://openalex.org/W1509813908","https://openalex.org/W1989891598","https://openalex.org/W4296978181","https://openalex.org/W4206634335"],"abstract_inverted_index":{"Supervised":[0],"source":[1,44,78,88,91],"separation":[2,14,106],"requires":[3,15],"expensive":[4],"synthetic":[5],"datasets":[6],"containing":[7],"clean,":[8],"ground":[9],"truth-source":[10],"signals,":[11],"while":[12],"unsupervised":[13,20,41,126],"only":[16],"data":[17,59,73],"mixtures.":[18],"Existing":[19],"methods":[21],"still":[22],"use":[23],"supervision":[24],"to":[25,135],"avoid":[26],"over-separation":[27],"and":[28,61,102,116,127,142],"compete":[29],"with":[30],"fully":[31],"supervised":[32],"methods.":[33,66],"We":[34],"present":[35],"a":[36,133],"new":[37],"method":[38,123],"of":[39,56,110],"completely":[40],"single-channel":[42],"blind":[43],"separation,":[45],"based":[46],"on":[47,108],"variational":[48],"auto-encoding,":[49],"that":[50,94,121],"automatically":[51],"learns":[52],"the":[53,64,98],"correct":[54],"number":[55],"sources":[57],"in":[58,139],"mixtures":[60,74],"quantitatively":[62],"outperforms":[63,124],"existing":[65],"A":[67,80],"deep":[68,81],"inference":[69],"network":[70,83],"disentangles":[71],"(separates)":[72],"into":[75,89],"low-dimensional":[76],"latent":[77,87],"variables.":[79],"generative":[82],"individually":[84],"decodes":[85],"each":[86],"its":[90],"signal,":[92],"such":[93],"their":[95],"sum":[96],"represents":[97],"given":[99],"mixture.":[100],"Qualitative":[101],"quantitative":[103],"results":[104],"from":[105],"experiments":[107],"pairs":[109],"randomly":[111],"mixed":[112,117],"MNIST":[113],"handwritten":[114],"digits":[115],"audio":[118],"spectrograms":[119],"demonstrate":[120],"our":[122],"state-of-the-art":[125],"semi-supervised":[128],"methods,":[129],"showing":[130],"promise":[131],"as":[132],"solution":[134],"this":[136],"long-standing":[137],"problem":[138],"computer":[140],"vision":[141],"audition.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
