{"id":"https://openalex.org/W3093608541","doi":"https://doi.org/10.1109/icassp39728.2021.9414364","title":"Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio Effects","display_name":"Automatic Multitrack Mixing With A Differentiable Mixing Console Of Neural Audio Effects","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3093608541","doi":"https://doi.org/10.1109/icassp39728.2021.9414364","mag":"3093608541"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.10291","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032881514","display_name":"Christian J. Steinmetz","orcid":"https://orcid.org/0000-0002-0971-5729"},"institutions":[{"id":"https://openalex.org/I116121188","display_name":"Dolby (Netherlands)","ror":"https://ror.org/02kb3q578","country_code":"NL","type":"company","lineage":["https://openalex.org/I116121188","https://openalex.org/I4210093996"]},{"id":"https://openalex.org/I4210093833","display_name":"Dolby (Sweden)","ror":"https://ror.org/00gqs6306","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210093833","https://openalex.org/I4210093996"]}],"countries":["NL","SE"],"is_corresponding":false,"raw_author_name":"Christian J. Steinmetz","raw_affiliation_strings":["Dolby Laboratories","Dolby Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories","institution_ids":["https://openalex.org/I116121188"]},{"raw_affiliation_string":"Dolby Labs","institution_ids":["https://openalex.org/I4210093833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103137809","display_name":"Jordi Pons","orcid":"https://orcid.org/0000-0001-9603-0869"},"institutions":[{"id":"https://openalex.org/I116121188","display_name":"Dolby (Netherlands)","ror":"https://ror.org/02kb3q578","country_code":"NL","type":"company","lineage":["https://openalex.org/I116121188","https://openalex.org/I4210093996"]},{"id":"https://openalex.org/I4210093833","display_name":"Dolby (Sweden)","ror":"https://ror.org/00gqs6306","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210093833","https://openalex.org/I4210093996"]}],"countries":["NL","SE"],"is_corresponding":false,"raw_author_name":"Jordi Pons","raw_affiliation_strings":["Dolby Laboratories","Dolby Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories","institution_ids":["https://openalex.org/I116121188"]},{"raw_affiliation_string":"Dolby Labs","institution_ids":["https://openalex.org/I4210093833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101557983","display_name":"Santiago Pascual","orcid":"https://orcid.org/0000-0002-8365-7387"},"institutions":[{"id":"https://openalex.org/I116121188","display_name":"Dolby (Netherlands)","ror":"https://ror.org/02kb3q578","country_code":"NL","type":"company","lineage":["https://openalex.org/I116121188","https://openalex.org/I4210093996"]},{"id":"https://openalex.org/I4210093833","display_name":"Dolby (Sweden)","ror":"https://ror.org/00gqs6306","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210093833","https://openalex.org/I4210093996"]}],"countries":["NL","SE"],"is_corresponding":false,"raw_author_name":"Santiago Pascual","raw_affiliation_strings":["Dolby Laboratories","Dolby Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories","institution_ids":["https://openalex.org/I116121188"]},{"raw_affiliation_string":"Dolby Labs","institution_ids":["https://openalex.org/I4210093833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103092198","display_name":"Joan Serr\u00e0","orcid":"https://orcid.org/0000-0003-1303-6558"},"institutions":[{"id":"https://openalex.org/I116121188","display_name":"Dolby (Netherlands)","ror":"https://ror.org/02kb3q578","country_code":"NL","type":"company","lineage":["https://openalex.org/I116121188","https://openalex.org/I4210093996"]},{"id":"https://openalex.org/I4210093833","display_name":"Dolby (Sweden)","ror":"https://ror.org/00gqs6306","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210093833","https://openalex.org/I4210093996"]}],"countries":["NL","SE"],"is_corresponding":false,"raw_author_name":"Joan Serra","raw_affiliation_strings":["Dolby Laboratories","Dolby Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dolby Laboratories","institution_ids":["https://openalex.org/I116121188"]},{"raw_affiliation_string":"Dolby Labs","institution_ids":["https://openalex.org/I4210093833"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0468,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74994782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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/T11309","display_name":"Music 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/T10860","display_name":"Speech and Audio Processing","score":0.9980000257492065,"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":0.9921000003814697,"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/mixing","display_name":"Mixing (physics)","score":0.7469639778137207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876078844070435},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5357709527015686},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5165082812309265},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5115888714790344},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4976523220539093},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46596789360046387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475102722644806},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3255576193332672},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1797732710838318}],"concepts":[{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.7469639778137207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876078844070435},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5357709527015686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5165082812309265},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5115888714790344},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4976523220539093},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46596789360046387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475102722644806},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3255576193332672},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1797732710838318},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.10291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.10291","pdf_url":"https://arxiv.org/pdf/2010.10291","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3093608541","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2010.10291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2010.10291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.10291","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.17023/cfsk-7p53","is_oa":true,"landing_page_url":"https://doi.org/10.17023/cfsk-7p53","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.10291","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.10291","pdf_url":"https://arxiv.org/pdf/2010.10291","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093608541.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W158217976","https://openalex.org/W192383697","https://openalex.org/W1481019515","https://openalex.org/W1482712448","https://openalex.org/W1516853666","https://openalex.org/W1936353209","https://openalex.org/W1970001848","https://openalex.org/W2130838500","https://openalex.org/W2296724634","https://openalex.org/W2526050071","https://openalex.org/W2533610151","https://openalex.org/W2566502667","https://openalex.org/W2760103357","https://openalex.org/W2777703858","https://openalex.org/W2778340325","https://openalex.org/W2792764867","https://openalex.org/W2897778589","https://openalex.org/W2949723897","https://openalex.org/W2951698735","https://openalex.org/W2963103134","https://openalex.org/W2975549126","https://openalex.org/W2981443492","https://openalex.org/W2984011741","https://openalex.org/W2990594533","https://openalex.org/W3000145705","https://openalex.org/W3000751478","https://openalex.org/W3015338123","https://openalex.org/W3016027511","https://openalex.org/W3210911763","https://openalex.org/W6606403852","https://openalex.org/W6607890289","https://openalex.org/W6628660938","https://openalex.org/W6640754001","https://openalex.org/W6697040288","https://openalex.org/W6731339283","https://openalex.org/W6734260513","https://openalex.org/W6747336215","https://openalex.org/W6749825310","https://openalex.org/W6769233789","https://openalex.org/W6769880887","https://openalex.org/W6803660154","https://openalex.org/W6912976838"],"related_works":["https://openalex.org/W3163547199","https://openalex.org/W3161037993","https://openalex.org/W3158464566","https://openalex.org/W3185737013","https://openalex.org/W3015721817","https://openalex.org/W2963452667","https://openalex.org/W2946947453","https://openalex.org/W3015635148","https://openalex.org/W3035649488","https://openalex.org/W3163082873","https://openalex.org/W3000389243","https://openalex.org/W3187219273","https://openalex.org/W3170094039","https://openalex.org/W2962981281","https://openalex.org/W3177975252","https://openalex.org/W2788560150","https://openalex.org/W2948211236","https://openalex.org/W2097492920","https://openalex.org/W2893613496","https://openalex.org/W3092111032"],"abstract_inverted_index":{"Applications":[0],"of":[1,56,81,99,139,162],"deep":[2],"learning":[3,149],"to":[4,15,88,110],"automatic":[5],"multitrack":[6,150],"mixing":[7,48,106,151,165],"are":[8],"largely":[9],"unexplored.":[10],"This":[11],"is":[12,27,83],"partly":[13],"due":[14],"the":[16,22,47,54,89,97,115,137,145,157,163],"limited":[17,79],"available":[18],"data,":[19],"coupled":[20],"with":[21,41,53,65,77,86],"fact":[23],"that":[24,127,132],"such":[25],"data":[26,155],"relatively":[28],"unstructured":[29],"and":[30,59,92],"variable.":[31],"To":[32,136],"address":[33],"these":[34],"challenges,":[35],"we":[36],"propose":[37],"a":[38,42,66,78,120],"domain-inspired":[39],"model":[40,73],"strong":[43],"inductive":[44],"bias":[45],"for":[46],"task.":[49],"We":[50],"achieve":[51],"this":[52,142],"application":[55],"pre-trained":[57],"sub-networks":[58],"weight":[60],"sharing,":[61],"as":[62,64],"well":[63],"sum/difference":[67],"stereo":[68],"loss":[69],"function.":[70],"The":[71],"proposed":[72],"can":[74],"be":[75],"trained":[76],"number":[80,98],"examples,":[82],"permutation":[84],"invariant":[85],"respect":[87],"input":[90,100],"ordering,":[91],"places":[93],"no":[94],"limit":[95],"on":[96],"sources.":[101],"Furthermore,":[102],"it":[103],"produces":[104],"human-readable":[105],"parameters,":[107],"allowing":[108],"users":[109],"manually":[111],"adjust":[112],"or":[113],"refine":[114],"generated":[116],"mix.":[117],"Results":[118],"from":[119,153],"perceptual":[121],"evaluation":[122],"involving":[123],"audio":[124],"engineers":[125],"indicate":[126],"our":[128,140],"approach":[129,147],"generates":[130],"mixes":[131],"outperform":[133],"baseline":[134],"approaches.":[135],"best":[138],"knowledge,":[141],"work":[143],"demonstrates":[144],"first":[146],"in":[148],"conventions":[152],"real-world":[154],"at":[156],"waveform":[158],"level,":[159],"without":[160],"knowledge":[161],"underlying":[164],"parameters.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2022-07-25T00:00:00"}
