{"id":"https://openalex.org/W2978099719","doi":"https://doi.org/10.1109/ijcnn.2019.8852334","title":"Representation Learning vs. Handcrafted Features for Music Genre Classification","display_name":"Representation Learning vs. Handcrafted Features for Music Genre Classification","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978099719","doi":"https://doi.org/10.1109/ijcnn.2019.8852334","mag":"2978099719"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852334","doi":"https://doi.org/10.1109/ijcnn.2019.8852334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852334","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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 Miranda Pereira","orcid":"https://orcid.org/0000-0003-1272-5378","observed_orcids":["https://orcid.org/0000-0003-1272-5378"]},"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"]},{"id":"https://openalex.org/I224309722","display_name":"Instituto Federal do Paran\u00e1","ror":"https://ror.org/02znfhp50","country_code":"BR","type":"education","lineage":["https://openalex.org/I224309722"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodolfo M. Pereira","raw_affiliation_strings":["Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256","https://openalex.org/I224309722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002078182","display_name":"Yandre M. G. Costa","orcid":"https://orcid.org/0000-0002-0630-3171","observed_orcids":["https://orcid.org/0000-0002-0630-3171"]},"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"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Yandre M. G. Costa","raw_affiliation_strings":["Departamento de Inform\u00e1tica (DIN), Universidade Estadual de Maring\u00e1, Maring\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica (DIN), Universidade Estadual de Maring\u00e1, Maring\u00e1, Brazil","institution_ids":["https://openalex.org/I123443094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103788256","display_name":"Rafael L. Aguiar","orcid":null,"observed_orcids":[]},"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"]},{"id":"https://openalex.org/I224309722","display_name":"Instituto Federal do Paran\u00e1","ror":"https://ror.org/02znfhp50","country_code":"BR","type":"education","lineage":["https://openalex.org/I224309722"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rafael L. Aguiar","raw_affiliation_strings":["Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256","https://openalex.org/I224309722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112404986","display_name":"Alceu S. Britto","orcid":"https://orcid.org/0000-0002-3064-3563","observed_orcids":["https://orcid.org/0000-0002-3064-3563"]},"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"]},{"id":"https://openalex.org/I224309722","display_name":"Instituto Federal do Paran\u00e1","ror":"https://ror.org/02znfhp50","country_code":"BR","type":"education","lineage":["https://openalex.org/I224309722"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu S. Britto","raw_affiliation_strings":["Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256","https://openalex.org/I224309722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370","observed_orcids":["https://orcid.org/0000-0002-0595-5370"]},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz E. S. Oliveira","raw_affiliation_strings":["Departamento de Inform\u00e1tica (DInf), Universidade Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica (DInf), Universidade Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088179577","display_name":"Carlos Nascimento Silla Junior","orcid":"https://orcid.org/0000-0002-1603-9378","observed_orcids":["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"]},{"id":"https://openalex.org/I224309722","display_name":"Instituto Federal do Paran\u00e1","ror":"https://ror.org/02znfhp50","country_code":"BR","type":"education","lineage":["https://openalex.org/I224309722"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos N. Silla","raw_affiliation_strings":["Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pos-Gradua\u00e7\u00e3o em Inform\u00e1tica (PPGIa), Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1 and Instituto Federal do Paran\u00e1, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256","https://openalex.org/I224309722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4851,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.83724225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.0,"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"}},{"id":"https://openalex.org/T10941","display_name":"Musicology and Musical Analysis","score":0.0,"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/music-genre-classification","display_name":"music genre classification","score":1.0},{"id":"https://openalex.org/keywords/representation-learning","display_name":"representation learning","score":0.9869999885559082},{"id":"https://openalex.org/keywords/handcrafted-features","display_name":"handcrafted features","score":0.9639999866485596},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.9729999899864197},{"id":"https://openalex.org/keywords/spectrogram","display_name":"spectrogram","score":0.48100000619888306},{"id":"https://openalex.org/keywords/lyrics","display_name":"lyrics","score":0.4880000054836273},{"id":"https://openalex.org/keywords/chords","display_name":"chords","score":0.8209999799728394},{"id":"https://openalex.org/keywords/audio-classification","display_name":"audio classification","score":0.5759999752044678},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7099999785423279}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836068868637085},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6408180594444275},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.636257529258728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102043986320496},{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.48917797207832336},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47947558760643005},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4681929051876068},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46227937936782837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4431626498699188},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39220064878463745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3594014644622803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09937736392021179},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852334","doi":"https://doi.org/10.1109/ijcnn.2019.8852334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852334","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"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":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1483217829","https://openalex.org/W1562529351","https://openalex.org/W1689711448","https://openalex.org/W1966311970","https://openalex.org/W1982446897","https://openalex.org/W2012296273","https://openalex.org/W2020681746","https://openalex.org/W2042390666","https://openalex.org/W2064675550","https://openalex.org/W2071103260","https://openalex.org/W2097290407","https://openalex.org/W2097998348","https://openalex.org/W2099760476","https://openalex.org/W2121961612","https://openalex.org/W2129351839","https://openalex.org/W2133824856","https://openalex.org/W2147800946","https://openalex.org/W2183341477","https://openalex.org/W2251939518","https://openalex.org/W2296610835","https://openalex.org/W2407607556","https://openalex.org/W2563031223","https://openalex.org/W2621367454","https://openalex.org/W2736887001","https://openalex.org/W2752569017","https://openalex.org/W2790620558","https://openalex.org/W2919115771","https://openalex.org/W2980286501","https://openalex.org/W6629031165","https://openalex.org/W6912059742"],"related_works":["https://openalex.org/W4285342824","https://openalex.org/W2795791968","https://openalex.org/W1571425261","https://openalex.org/W4404838542","https://openalex.org/W1825426646","https://openalex.org/W1587265085","https://openalex.org/W2040710738","https://openalex.org/W2793881638","https://openalex.org/W4206346441","https://openalex.org/W4311785922"],"abstract_inverted_index":{"In":[0],"this":[1,47],"work":[2],"we":[3],"present":[4],"a":[5,100],"comprehensive":[6],"set":[7],"of":[8,24,87,131],"experiments":[9],"aiming":[10],"to":[11,90,121],"perform":[12,91],"music":[13],"genre":[14],"classification":[15,93,118],"using":[16,77],"learned":[17,132],"and":[18,37,82,133],"handcrafted":[19,105,134],"features":[20,27,89,106,135],"plus":[21],"the":[22,31,42,52,73,78,85,104,109,117,126,129,140],"fusion":[23,111,130],"them.":[25],"Handcrafted":[26],"were":[28],"obtained":[29],"from":[30,41,63],"audio":[32,92],"signal":[33],"itself,":[34],"lyrics,":[35],"chords":[36],"spectrogram":[38],"images":[39],"extracted":[40],"audio.":[43],"The":[44,67,95],"rationale":[45],"behind":[46],"investigation":[48],"is":[49],"based":[50],"on":[51,72],"assumption":[53],"that":[54],"one":[55],"can":[56],"find":[57],"some":[58],"complementarity":[59,102],"between":[60],"classifiers":[61],"created":[62],"these":[64],"different":[65],"resources.":[66],"experimental":[68,96],"protocol":[69],"was":[70],"conducted":[71],"Brazilian":[74],"Music":[75],"Dataset":[76],"artist":[79],"filter":[80],"restriction":[81],"they":[83],"confirm":[84],"power":[86],"non-handcrafted":[88],"tasks.":[94],"results":[97],"have":[98],"shown":[99],"significant":[101],"among":[103],"for":[107],"which":[108],"evaluated":[110],"strategies":[112],"allowed":[113],"an":[114],"improvement":[115],"in":[116],"accuracy":[119,138],"up":[120],"4":[122],"percent":[123],"points.":[124],"On":[125],"other":[127],"hand,":[128],"provided":[136],"similar":[137],"than":[139],"best":[141],"individual":[142],"CNN":[143],"(0.7815).":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2019-10-10T00:00:00"}
