{"id":"https://openalex.org/W2752569017","doi":"https://doi.org/10.1109/icme.2017.8019531","title":"Using simplified chords sequences to classify songs genres","display_name":"Using simplified chords sequences to classify songs genres","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2752569017","doi":"https://doi.org/10.1109/icme.2017.8019531","mag":"2752569017"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074147819","display_name":"Rodolfo M. Pereira","orcid":"https://orcid.org/0000-0003-1272-5378"},"institutions":[{"id":"https://openalex.org/I123443094","display_name":"Universidade Estadual de Maring\u00e1","ror":"https://ror.org/04bqqa360","country_code":"BR","type":"education","lineage":["https://openalex.org/I123443094"]},{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodolfo Miranda Pereira","raw_affiliation_strings":["Computer Music Technology Laboratory \u2014 Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paran\u00e1 (PUCPR), Curitiba, PR, Brazil","Informatics Department, State University of Maringa (UEM), Maringa, PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Music Technology Laboratory \u2014 Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paran\u00e1 (PUCPR), Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Informatics Department, State University of Maringa (UEM), Maringa, PR, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088179577","display_name":"Carlos N. Silla","orcid":"https://orcid.org/0000-0002-1603-9378"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos N. Silla","raw_affiliation_strings":["Computer Music Technology Laboratory \u2014 Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paran\u00e1 (PUCPR), Curitiba, PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Music Technology Laboratory \u2014 Graduate Program in Computer Science (PPGIa), Pontifical Catholic University of Paran\u00e1 (PUCPR), Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.34497411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1446","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9909999966621399,"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/T10860","display_name":"Speech and Audio Processing","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173758745193481},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6170205473899841},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6020858287811279},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5924750566482544},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5177756547927856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47870874404907227},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4681675136089325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46522805094718933},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.462721049785614},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3211931884288788}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173758745193481},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6170205473899841},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6020858287811279},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5924750566482544},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5177756547927856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47870874404907227},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4681675136089325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46522805094718933},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.462721049785614},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3211931884288788}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2017.8019531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1562006181","https://openalex.org/W1989085630","https://openalex.org/W2003176024","https://openalex.org/W2036603454","https://openalex.org/W2099760476","https://openalex.org/W2101151533","https://openalex.org/W2104868138","https://openalex.org/W2108945853","https://openalex.org/W2133433494","https://openalex.org/W2133990480","https://openalex.org/W2248857245","https://openalex.org/W2340134902","https://openalex.org/W2377006970","https://openalex.org/W2407888529","https://openalex.org/W2563031223","https://openalex.org/W6676520711","https://openalex.org/W6704025895","https://openalex.org/W6714004745"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W2889302474","https://openalex.org/W1980222719"],"abstract_inverted_index":{"Music":[0],"Genre":[1],"Recognition":[2],"(MGR)":[3],"is":[4,41,66],"one":[5],"of":[6,11,30,53,63,110],"the":[7,25,31,39,51,114,119,131],"most":[8],"important":[9,18,58],"forms":[10],"music":[12],"organization":[13],"and":[14,90,123,127],"has":[15],"been":[16],"an":[17,57,107],"research":[19],"subject.":[20],"Most":[21],"MGR":[22,56,73],"methods":[23],"consider":[24],"audio":[26,40,89,126],"content":[27],"itself":[28],"instead":[29],"songs":[32,87],"meta-data,":[33],"such":[34],"as":[35],"its":[36],"chords.":[37],"However,":[38],"not":[42],"always":[43],"available":[44],"due":[45],"to":[46,67,99],"copyright":[47],"issues,":[48],"which":[49],"makes":[50],"use":[52],"meta-data":[54],"for":[55,72],"task.":[59],"The":[60,103],"main":[61],"objective":[62],"this":[64],"paper":[65],"propose":[68,80],"a":[69,81],"new":[70,82],"method":[71],"using":[74,112],"simplified":[75],"chords":[76,91,115,128],"sequences.":[77],"We":[78],"also":[79],"public":[83],"dataset":[84],"with":[85,118,130],"8,994":[86],"containing":[88],"features":[92,129],"from":[93],"six":[94],"different":[95],"genres":[96],"in":[97],"order":[98],"evaluate":[100],"our":[101],"method.":[102],"experimental":[104],"results":[105],"reached":[106],"accuracy":[108],"rate":[109],"56.13%":[111],"only":[113],"sequence":[116],"feature":[117],"Random":[120],"Forest":[121],"classifier,":[122],"78.40%":[124],"combining":[125],"SVM":[132],"classifier.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
