{"id":"https://openalex.org/W4294811919","doi":"https://doi.org/10.1109/cec55065.2022.9870357","title":"Optical Music recognition and Deep Learning: An application to 4-part harmony","display_name":"Optical Music recognition and Deep Learning: An application to 4-part harmony","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811919","doi":"https://doi.org/10.1109/cec55065.2022.9870357"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870357","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"2022 IEEE Congress on Evolutionary Computation (CEC)","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/A5101749036","display_name":"Francisco Fern\u00e1ndez de Vega","orcid":"https://orcid.org/0000-0002-1086-1483"},"institutions":[{"id":"https://openalex.org/I203303854","display_name":"University of the Andes","ror":"https://ror.org/02h1b1x27","country_code":"VE","type":"education","lineage":["https://openalex.org/I203303854"]},{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES","VE"],"is_corresponding":true,"raw_author_name":"Francisco Fern\u00e1ndez De Vega","raw_affiliation_strings":["y de las Comunicaciones Universidad de Extremadura,Departamento de Tecnologia de los Computadores,Merida,Espana","Departamento de Tecnologia de los Computadores, y de las Comunicaciones Universidad de Extremadura, Merida, Espana"],"affiliations":[{"raw_affiliation_string":"y de las Comunicaciones Universidad de Extremadura,Departamento de Tecnologia de los Computadores,Merida,Espana","institution_ids":["https://openalex.org/I80606768","https://openalex.org/I203303854"]},{"raw_affiliation_string":"Departamento de Tecnologia de los Computadores, y de las Comunicaciones Universidad de Extremadura, Merida, Espana","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101652783","display_name":"Jorge Alvarado","orcid":"https://orcid.org/0000-0002-7943-4455"},"institutions":[{"id":"https://openalex.org/I203303854","display_name":"University of the Andes","ror":"https://ror.org/02h1b1x27","country_code":"VE","type":"education","lineage":["https://openalex.org/I203303854"]},{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES","VE"],"is_corresponding":false,"raw_author_name":"Jorge Alvarado","raw_affiliation_strings":["y de las Comunicaciones Universidad de Extremadura,Departamento de Tecnologia de los Computadores,Merida,Espana","Departamento de Tecnologia de los Computadores, y de las Comunicaciones Universidad de Extremadura, Merida, Espana"],"affiliations":[{"raw_affiliation_string":"y de las Comunicaciones Universidad de Extremadura,Departamento de Tecnologia de los Computadores,Merida,Espana","institution_ids":["https://openalex.org/I80606768","https://openalex.org/I203303854"]},{"raw_affiliation_string":"Departamento de Tecnologia de los Computadores, y de las Comunicaciones Universidad de Extremadura, Merida, Espana","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060820570","display_name":"Juan Villegas-Cort\u00e9z","orcid":"https://orcid.org/0000-0001-8918-1044"},"institutions":[{"id":"https://openalex.org/I200362191","display_name":"Universidad Aut\u00f3noma Metropolitana","ror":"https://ror.org/02kta5139","country_code":"MX","type":"education","lineage":["https://openalex.org/I200362191"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Villegas Cortez","raw_affiliation_strings":["Universidad Autonoma Metropolitana, Unidad Azcapotzalco Cd. de Mexico,Departamento de Sistemas,Mexico","Departamento de Sistemas, Universidad Autonoma Metropolitana, Unidad Azcapotzalco Cd. de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma Metropolitana, Unidad Azcapotzalco Cd. de Mexico,Departamento de Sistemas,Mexico","institution_ids":["https://openalex.org/I200362191"]},{"raw_affiliation_string":"Departamento de Sistemas, Universidad Autonoma Metropolitana, Unidad Azcapotzalco Cd. de Mexico, Mexico","institution_ids":["https://openalex.org/I200362191"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101749036"],"corresponding_institution_ids":["https://openalex.org/I203303854","https://openalex.org/I80606768"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50394945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"07"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13996","display_name":"Diverse Musicological Studies","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245639562606812},{"id":"https://openalex.org/keywords/harmony","display_name":"Harmony (color)","score":0.7109220027923584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6686869859695435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5381603240966797},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4976039230823517},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.45048096776008606},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44056516885757446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41278186440467834},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34850049018859863},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06787893176078796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245639562606812},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.7109220027923584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6686869859695435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5381603240966797},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4976039230823517},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.45048096776008606},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44056516885757446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41278186440467834},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34850049018859863},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06787893176078796},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec55065.2022.9870357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870357","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","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":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W158393211","https://openalex.org/W639708223","https://openalex.org/W1901129140","https://openalex.org/W2030863126","https://openalex.org/W2102605133","https://openalex.org/W2194775991","https://openalex.org/W2573470874","https://openalex.org/W2785680402","https://openalex.org/W2795705148","https://openalex.org/W2804344551","https://openalex.org/W2889118961","https://openalex.org/W2899609705","https://openalex.org/W2902071833","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W3106250896","https://openalex.org/W4299820680","https://openalex.org/W6606487651","https://openalex.org/W6639824700","https://openalex.org/W6756786867","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4312200629","https://openalex.org/W4223943233","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4309045103","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W3049917942"],"abstract_inverted_index":{"Optical":[0,75],"Music":[1],"Recognition":[2,77],"(OMR)":[3],"applied":[4],"to":[5,143],"hand-written":[6],"scores":[7,84,113],"is":[8],"widely":[9],"recognized":[10,24],"as":[11,29,40,42,58],"a":[12,26,59,105,115],"hard":[13,94],"real-world":[14],"problem.":[15],"The":[16],"number":[17],"of":[18],"different":[19,44],"symbols":[20,47],"that":[21,61,110,126,149],"must":[22],"be":[23,151],"in":[25,54,104,114],"score,":[27,56],"such":[28,57],"the":[30,43,52,55],"key,":[31],"time":[32],"signatures,":[33],"tempo,":[34],"dynamics,":[35],"notes,":[36],"alterations,":[37],"duration,":[38],"etc,":[39],"well":[41],"meanings":[45],"some":[46],"may":[48,62],"embody":[49],"depending":[50],"on":[51],"position":[53],"quarter":[60],"mean":[63],"notes":[64],"C,":[65],"D,":[66],"E,":[67],"\u2026,":[68],"makes":[69],"OMR":[70],"much":[71],"harder":[72],"challenge":[73],"than":[74],"Character":[76],"(OCR),":[78],"particularly":[79],"when":[80,119],"dealing":[81],"with":[82,153],"handwritten":[83],"for":[85,147,157],"Computational":[86],"Intelligence":[87],"(CI)":[88],"methods.":[89],"This":[90],"paper":[91,117],"addresses":[92],"this":[93,140],"problem":[95],"using":[96],"deep":[97],"learning":[98,120],"based":[99],"approaches,":[100],"specif-ically":[101],"Mask":[102],"R-CNN,":[103],"specific":[106],"context:":[107],"music":[108],"students":[109,148],"write":[111],"their":[112],"ruled":[116],"notebook":[118],"4-part":[121,158],"harmony.":[122],"Preliminary":[123],"results":[124],"show":[125],"high":[127],"accuracy":[128],"levels":[129],"are":[130],"obtained,":[131],"both":[132],"during":[133,137],"training+validation":[134],"and":[135,139],"also":[136],"tests,":[138],"allows":[141],"us":[142],"foresee":[144],"new":[145],"tools":[146],"could":[150],"combined":[152],"available":[154],"CI":[155],"methods":[156],"harmony":[159],"learning.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}