{"id":"https://openalex.org/W4298182583","doi":"https://doi.org/10.48550/arxiv.2209.14458","title":"The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling","display_name":"The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4298182583","doi":"https://doi.org/10.48550/arxiv.2209.14458"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2209.14458","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2209.14458","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102132394","display_name":"Yusong Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yusong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110941464","display_name":"Josh Gardner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gardner, Josh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023355857","display_name":"Ethan Manilow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manilow, Ethan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007560593","display_name":"Ian Simon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon, Ian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083209727","display_name":"Curtis Hawthorne","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hawthorne, Curtis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5048688198","display_name":"Jesse Engel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Engel, Jesse","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.861444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":86},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998,"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":0.9998,"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":0.999,"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"}},{"id":"https://openalex.org/T10788","display_name":"Neuroscience and Music Perception","score":0.9951,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/midi","display_name":"MIDI","score":0.65440786},{"id":"https://openalex.org/keywords/choir","display_name":"Choir","score":0.46459126},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43853042},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble Learning","score":0.42884576}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105304},{"id":"https://openalex.org/C8112396","wikidata":"https://www.wikidata.org/wiki/Q80535","display_name":"MIDI","level":2,"score":0.65440786},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.58036995},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5696172},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5655715},{"id":"https://openalex.org/C20032530","wikidata":"https://www.wikidata.org/wiki/Q131186","display_name":"Choir","level":2,"score":0.46459126},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43853042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4327506},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42884576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3746935},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.328727},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08834362},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2209.14458","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.14458","pdf_url":"http://arxiv.org/pdf/2209.14458","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2209.14458","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2209.14458","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4387506531","https://openalex.org/W4380551139","https://openalex.org/W4365211920","https://openalex.org/W4317695495","https://openalex.org/W4299831724","https://openalex.org/W4238433571","https://openalex.org/W3174044702","https://openalex.org/W3014948380","https://openalex.org/W2967848559","https://openalex.org/W2280377497"],"abstract_inverted_index":{"Data":[0],"is":[1],"the":[2,103,145,148,158],"lifeblood":[3],"of":[4,46,58,70,74,116],"modern":[5],"machine":[6],"learning":[7],"systems,":[8],"including":[9,81],"for":[10,135,154],"those":[11],"in":[12,157],"Music":[13],"Information":[14],"Retrieval":[15],"(MIR).":[16],"However,":[17],"MIR":[18,159],"has":[19],"long":[20],"been":[21],"mired":[22],"by":[23],"small":[24],"datasets":[25],"and":[26,91,108,138,141,147],"unreliable":[27],"labels.":[28],"In":[29],"this":[30,36,101],"work,":[31],"we":[32,65,142],"propose":[33],"to":[34,111],"break":[35],"bottleneck":[37],"using":[38,129],"generative":[39,44],"modeling.":[40],"By":[41],"pipelining":[42],"a":[43,54,67,113],"model":[45,57],"notes":[47],"(Coconet":[48],"trained":[49,62],"on":[50,63],"Bach":[51],"Chorales)":[52],"with":[53,78],"structured":[55],"synthesis":[56,94],"chamber":[59,121],"ensembles":[60,122],"(MIDI-DDSP":[61],"URMP),":[64],"demonstrate":[66,125],"system":[68,102,146],"capable":[69],"producing":[71],"unlimited":[72],"amounts":[73],"realistic":[75],"chorale":[76],"music":[77,136],"rich":[79],"annotations":[80],"mixes,":[82],"stems,":[83],"MIDI,":[84],"note-level":[85],"performance":[86],"attributes":[87],"(staccato,":[88],"vibrato,":[89],"etc.),":[90],"even":[92],"fine-grained":[93],"parameters":[95],"(pitch,":[96],"amplitude,":[97],"etc.).":[98],"We":[99,124],"call":[100],"Chamber":[104],"Ensemble":[105],"Generator":[106],"(CEG),":[107],"use":[109],"it":[110],"generate":[112],"large":[114],"dataset":[115,149],"chorales":[117],"from":[118],"four":[119],"different":[120],"(CocoChorales).":[123],"that":[126],"data":[127],"generated":[128],"our":[130],"approach":[131],"improves":[132],"state-of-the-art":[133],"models":[134],"transcription":[137],"source":[139],"separation,":[140],"release":[143],"both":[144],"as":[150],"an":[151],"open-source":[152],"foundation":[153],"future":[155],"work":[156],"community.":[160]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4298182583","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-03-23T19:23:05.478431","created_date":"2022-10-01"}