{"id":"https://openalex.org/W4372348235","doi":"https://doi.org/10.1186/s13636-023-00279-6","title":"MUSIB: musical score inpainting benchmark","display_name":"MUSIB: musical score inpainting benchmark","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372348235","doi":"https://doi.org/10.1186/s13636-023-00279-6"},"language":"en","primary_location":{"id":"doi:10.1186/s13636-023-00279-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00279-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00279-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00279-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045657374","display_name":"Mauricio Araneda-Hernandez","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167034","display_name":"Millennium Institute for Integrative Biology","ror":"https://ror.org/05xcmte05","country_code":"CL","type":"other","lineage":["https://openalex.org/I4210167034"]},{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Mauricio Araneda-Hernandez","raw_affiliation_strings":["Department of Computer Science, University of Chile, Santiago, Chile","Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","National Center for Artificial Intelligence (CENIA), Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","institution_ids":["https://openalex.org/I4210167034"]},{"raw_affiliation_string":"National Center for Artificial Intelligence (CENIA), Santiago, Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047767877","display_name":"Felipe Bravo-M\u00e1rquez","orcid":"https://orcid.org/0000-0002-2153-4306"},"institutions":[{"id":"https://openalex.org/I4210167034","display_name":"Millennium Institute for Integrative Biology","ror":"https://ror.org/05xcmte05","country_code":"CL","type":"other","lineage":["https://openalex.org/I4210167034"]},{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Felipe Bravo-Marquez","raw_affiliation_strings":["Department of Computer Science, University of Chile, Santiago, Chile","Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","National Center for Artificial Intelligence (CENIA), Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Chile, Santiago, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","institution_ids":["https://openalex.org/I4210167034"]},{"raw_affiliation_string":"National Center for Artificial Intelligence (CENIA), Santiago, Chile","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038755237","display_name":"Denis Parra","orcid":"https://orcid.org/0000-0001-9878-8761"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]},{"id":"https://openalex.org/I4210167034","display_name":"Millennium Institute for Integrative Biology","ror":"https://ror.org/05xcmte05","country_code":"CL","type":"other","lineage":["https://openalex.org/I4210167034"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Denis Parra","raw_affiliation_strings":["Department of Computer Science, Pontificia Universidad Catolica de Chile, Santiago, Chile","Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","National Center for Artificial Intelligence (CENIA), Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Pontificia Universidad Catolica de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]},{"raw_affiliation_string":"Millennium Institute for Foundational Research on Data (IMFD), Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile","institution_ids":["https://openalex.org/I4210167034"]},{"raw_affiliation_string":"National Center for Artificial Intelligence (CENIA), Santiago, Chile","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008068686","display_name":"Rodrigo F. C\u00e1diz","orcid":"https://orcid.org/0000-0001-5902-1170"},"institutions":[{"id":"https://openalex.org/I162148367","display_name":"Pontificia Universidad Cat\u00f3lica de Chile","ror":"https://ror.org/04teye511","country_code":"CL","type":"education","lineage":["https://openalex.org/I162148367"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Rodrigo F. C\u00e1diz","raw_affiliation_strings":["Music Institute and Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","National Center for Artificial Intelligence (CENIA), Santiago, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Music Institute and Department of Electrical Engineering, Pontificia Universidad Catolica de Chile, Santiago, Chile","institution_ids":["https://openalex.org/I162148367"]},{"raw_affiliation_string":"National Center for Artificial Intelligence (CENIA), Santiago, Chile","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045657374"],"corresponding_institution_ids":["https://openalex.org/I4210167034","https://openalex.org/I69737025"],"apc_list":{"value":1635,"currency":"USD","value_usd":1635},"apc_paid":{"value":1635,"currency":"USD","value_usd":1635},"fwci":0.3989,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53670513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"2023","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music 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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music 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/T11349","display_name":"Music Technology and Sound Studies","score":0.9997000098228455,"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":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.6467106342315674},{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.5806170105934143},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.528708815574646},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5254565477371216},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5076655149459839},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.4336432218551636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4335877299308777},{"id":"https://openalex.org/keywords/musical-composition","display_name":"Musical composition","score":0.423576295375824},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37173670530319214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3335818648338318},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32933589816093445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1292390525341034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09810468554496765},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.08267548680305481},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.0767790675163269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467106342315674},{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.5806170105934143},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.528708815574646},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5254565477371216},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5076655149459839},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.4336432218551636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4335877299308777},{"id":"https://openalex.org/C109568592","wikidata":"https://www.wikidata.org/wiki/Q207628","display_name":"Musical composition","level":3,"score":0.423576295375824},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37173670530319214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3335818648338318},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32933589816093445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1292390525341034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09810468554496765},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.08267548680305481},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0767790675163269},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s13636-023-00279-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00279-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00279-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8edccb451d3b4c66a5268692b2fab5a9","is_oa":true,"landing_page_url":"https://doaj.org/article/8edccb451d3b4c66a5268692b2fab5a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-15 (2023)","raw_type":"article"},{"id":"pmh:oai:repositorio.uchile.cl:2250/212550","is_oa":false,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/212550","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","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":"Eurasip Journal on Audio Speech and Music Processing","raw_type":"Art\u00edculo de revista"}],"best_oa_location":{"id":"doi:10.1186/s13636-023-00279-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-023-00279-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13636-023-00279-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722","3091-4523"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G1006051295","display_name":"CREATIVITY AND MUSICALITY OF DEEP LEARNING GENERATIVE MODELS FOR MUSICAL CONTENT","funder_award_id":"1230926","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G1278513833","display_name":null,"funder_award_id":"CENIA FB210017","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G3604576971","display_name":null,"funder_award_id":"Code ICN17_002","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G4645492539","display_name":null,"funder_award_id":"ICN17 002","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G7877382544","display_name":"NATIONAL CENTER FOR ARTIFICIAL INTELLIGENCE RESEARCH (NAIR)","funder_award_id":"FB210017","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"}],"funders":[{"id":"https://openalex.org/F4320323458","display_name":"Universidad de Chile","ror":"https://ror.org/047gc3g35"},{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4372348235.pdf"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2129192849","https://openalex.org/W2146950091","https://openalex.org/W2898827701","https://openalex.org/W2901638613","https://openalex.org/W2954479967","https://openalex.org/W2972478942","https://openalex.org/W2982753834","https://openalex.org/W2989824617","https://openalex.org/W3006009210","https://openalex.org/W3081279708","https://openalex.org/W3094502228","https://openalex.org/W3176647220","https://openalex.org/W4300958603","https://openalex.org/W6600281192","https://openalex.org/W6640963894"],"related_works":["https://openalex.org/W4287182679","https://openalex.org/W2135359786","https://openalex.org/W4385232115","https://openalex.org/W3162781182","https://openalex.org/W1574999717","https://openalex.org/W1485630101","https://openalex.org/W2353579794","https://openalex.org/W2078288556","https://openalex.org/W2994855290","https://openalex.org/W2995115364"],"abstract_inverted_index":{"Abstract":[0],"Music":[1,97,99],"inpainting":[2,80],"is":[3,168],"a":[4,36,74,162,173,184],"sub-task":[5],"of":[6,58,64,142,154],"automated":[7],"music":[8,200],"generation":[9,201],"that":[10,160],"aims":[11],"to":[12,17,41,120],"infill":[13],"incomplete":[14],"musical":[15,22,78,137,155],"pieces":[16],"help":[18],"musicians":[19],"in":[20,49,199],"their":[21],"composition":[23],"process.":[24],"Many":[25],"methods":[26],"have":[27],"been":[28],"developed":[29],"for":[30,38,77,84,206],"this":[31,180],"task.":[32],"However,":[33],"we":[34,71,190],"observe":[35],"tendency":[37],"each":[39],"method":[40],"be":[42],"evaluated":[43],"using":[44],"different":[45],"datasets":[46],"and":[47,86,101,103,111,117,128],"metrics":[48,119],"the":[50,140,150,169,194],"papers":[51],"where":[52],"they":[53],"are":[54],"presented.":[55],"This":[56],"lack":[57],"standardization":[59],"hinders":[60],"an":[61,204],"adequate":[62],"comparison":[63],"these":[65,69],"approaches.":[66],"To":[67],"tackle":[68],"problems,":[70],"present":[72],"MUSIB,":[73,189],"new":[75],"benchmark":[76],"score":[79],"with":[81,130,139],"standardized":[82],"conditions":[83],"evaluation":[85,158],"reproducibility.":[87],"MUSIB":[88],"evaluates":[89],"four":[90],"models:":[91],"Variable":[92],"Length":[93],"Piano":[94],"Infilling":[95],"(VLI),":[96],"InpaintNet,":[98],"SketchNet,":[100],"AnticipationRNN,":[102],"over":[104],"two":[105],"commonly":[106],"used":[107],"datasets:":[108],"JSB":[109],"Chorales":[110],"IrishFolkSong.":[112],"We":[113],"also":[114,135],"compile,":[115],"extend,":[116],"propose":[118],"adequately":[121],"quantify":[122],"note":[123],"attributes":[124],"such":[125],"as":[126],"pitch":[127],"rhythm":[129],"Note":[131],"Metrics":[132,144],",":[133,145],"but":[134],"higher-level":[136],"properties":[138],"introduction":[141],"Divergence":[143],"which":[146],"operate":[147],"by":[148],"comparing":[149],"distance":[151],"between":[152],"distributions":[153],"features.":[156],"Our":[157],"shows":[159],"VLI,":[161],"model":[163,182],"based":[164],"on":[165,172,183],"Transformer":[166],"architecture,":[167],"best":[170],"performer":[171],"larger":[174],"dataset,":[175],"while":[176],"VAE-based":[177],"models":[178],"surpass":[179],"Transformer-based":[181],"relatively":[185],"small":[186],"dataset.":[187],"With":[188],"aim":[191],"at":[192],"inspiring":[193],"community":[195],"towards":[196],"better":[197],"reproducibility":[198],"research,":[202],"setting":[203],"example":[205],"strongly":[207],"founded":[208],"comparisons":[209],"among":[210],"SOTA":[211],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}