{"id":"https://openalex.org/W6892506822","doi":"https://doi.org/10.5281/zenodo.10265253","title":"Efficient Notation Assembly in Optical Music Recognition","display_name":"Efficient Notation Assembly in Optical Music Recognition","publication_year":2023,"publication_date":"2023-11-04","ids":{"openalex":"https://openalex.org/W6892506822","doi":"https://doi.org/10.5281/zenodo.10265253"},"language":"en","primary_location":{"id":"pmh:oai:repositori-api.upf.edu:10230/58186","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/58186","pdf_url":"https://repositori.upf.edu/bitstreams/8a88f89e-5073-4e43-a15d-60ba04846fbb/download","source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/submittedVersion"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositori.upf.edu/bitstreams/8a88f89e-5073-4e43-a15d-60ba04846fbb/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Carlos Pe\u00f1arrubia","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Carlos Pe\u00f1arrubia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Carlos Garrido-Munoz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos Garrido-Munoz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jose J. Valero-Mas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jose J. Valero-Mas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Jorge Calvo-Zaragoza","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jorge Calvo-Zaragoza","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1971,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51694915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9799000024795532,"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":0.9799000024795532,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.008200000040233135,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.0013000000035390258,"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/notation","display_name":"Notation","score":0.8640999794006348},{"id":"https://openalex.org/keywords/musical-notation","display_name":"Musical notation","score":0.8206999897956848},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6952000260353088},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5860000252723694},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5400000214576721},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41589999198913574},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.414900004863739}],"concepts":[{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.8640999794006348},{"id":"https://openalex.org/C88639978","wikidata":"https://www.wikidata.org/wiki/Q233861","display_name":"Musical notation","level":3,"score":0.8206999897956848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615000009536743},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6952000260353088},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5400000214576721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41589999198913574},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36570000648498535},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32580000162124634},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.26750001311302185},{"id":"https://openalex.org/C143857728","wikidata":"https://www.wikidata.org/wiki/Q193544","display_name":"Music theory","level":3,"score":0.2515999972820282},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:repositori-api.upf.edu:10230/58186","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/58186","pdf_url":"https://repositori.upf.edu/bitstreams/8a88f89e-5073-4e43-a15d-60ba04846fbb/download","source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/submittedVersion"},{"id":"doi:10.5281/zenodo.10265253","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10265253","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"pmh:oai:repositori-api.upf.edu:10230/58186","is_oa":true,"landing_page_url":"http://hdl.handle.net/10230/58186","pdf_url":"https://repositori.upf.edu/bitstreams/8a88f89e-5073-4e43-a15d-60ba04846fbb/download","source":{"id":"https://openalex.org/S4306402615","display_name":"Repositori digital de la UPF (Universitat Pompeu Fabra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170486558","host_organization_name":"Universitat Pompeu Fabra","host_organization_lineage":["https://openalex.org/I170486558"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/submittedVersion"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5448276400566101,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W6892506822.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Optical":[0],"Music":[1],"Recognition":[2],"(OMR)":[3],"is":[4],"the":[5,37,58,63,73,77,86,104,119,122,135,143,150,154,169,178,189,193,197],"field":[6],"of":[7,76,93,106,121,148,153,158,171,192],"research":[8],"that":[9,34,142,168],"studies":[10],"how":[11,186],"to":[12,21,53,56,96,118,126,187],"computationally":[13],"read":[14],"music":[15,43,112,139],"notation":[16,60,65,179],"from":[17,40],"written":[18],"documents.":[19],"Thanks":[20],"recent":[22],"advances":[23],"in":[24,62,72,85,110,124,130,156],"computer":[25],"vision":[26],"and":[27,195],"deep":[28],"learning,":[29],"there":[30],"are":[31,146],"successful":[32],"approaches":[33,95,145],"can":[35],"locate":[36],"music-notation":[38],"elements":[39,49],"a":[41,91,111],"given":[42],"score":[44],"image.":[45],"Once":[46],"detected,":[47],"these":[48],"must":[50],"be":[51],"related":[52],"each":[54],"other":[55],"reconstruct":[57],"musical":[59],"itself,":[61],"so-called":[64],"assembly":[66,99,180],"stage.":[67,100],"However,":[68],"despite":[69],"its":[70],"relevance":[71],"eventual":[74],"success":[75],"OMR,":[78],"this":[79,98,172],"stage":[80],"has":[81],"been":[82],"barely":[83],"addressed":[84],"literature.":[87],"This":[88],"work":[89,173],"presents":[90],"set":[92],"neural":[94],"perform":[97],"Taking":[101],"into":[102,177],"account":[103],"number":[105],"possible":[107],"syntactic":[108],"relationships":[109],"score,":[113],"we":[114],"give":[115],"special":[116],"importance":[117],"efficiency":[120,159],"process":[123],"order":[125],"obtain":[127],"useful":[128],"models":[129],"practice.":[131],"Our":[132],"experiments,":[133],"using":[134],"MUSCIMA++":[136],"handwritten":[137],"sheet":[138],"dataset,":[140],"show":[141],"considered":[144],"capable":[147],"outperforming":[149],"existing":[151],"state":[152],"art":[155],"terms":[157],"with":[160],"limited":[161],"(or":[162],"no)":[163],"performance":[164],"degradation.":[165],"We":[166],"believe":[167],"conclusions":[170],"provide":[174],"novel":[175],"insights":[176],"step,":[181],"while":[182],"indicating":[183],"clues":[184],"on":[185],"approach":[188],"previous":[190],"stages":[191],"OMR":[194],"improve":[196],"overall":[198],"performance.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}