{"id":"https://openalex.org/W2740719713","doi":"https://doi.org/10.1109/sysose.2017.7994970","title":"A deep learning approach for mapping music genres","display_name":"A deep learning approach for mapping music genres","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2740719713","doi":"https://doi.org/10.1109/sysose.2017.7994970","mag":"2740719713"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2017.7994970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2017.7994970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th System of Systems Engineering Conference (SoSE)","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/A5049377524","display_name":"Sharaj Panwar","orcid":"https://orcid.org/0000-0002-2823-0567"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharaj Panwar","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059680425","display_name":"Arun Das","orcid":"https://orcid.org/0000-0001-7512-0523"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arun Das","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052743179","display_name":"Mehdi Roopaei","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehdi Roopaei","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114027757","display_name":"Paul Rad","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Rad","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, Texas, USA","institution_ids":["https://openalex.org/I45438204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45438204"],"apc_list":null,"apc_paid":null,"fwci":2.8031,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91748567,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3167","issue":null,"first_page":"1","last_page":"5"},"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":0.9921000003814697,"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":0.9886000156402588,"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":0.8426418900489807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6339439749717712},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5907421112060547},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.552741289138794},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5476729273796082},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5377339124679565},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.46874693036079407},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45243409276008606},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42127418518066406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4174688458442688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3661031424999237},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3398507237434387},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27548420429229736},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07040020823478699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8426418900489807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6339439749717712},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5907421112060547},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.552741289138794},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5476729273796082},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5377339124679565},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.46874693036079407},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45243409276008606},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42127418518066406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4174688458442688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3661031424999237},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3398507237434387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27548420429229736},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07040020823478699},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sysose.2017.7994970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2017.7994970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th System of Systems Engineering Conference (SoSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1904365287","https://openalex.org/W1973746598","https://openalex.org/W2059652044","https://openalex.org/W2071103260","https://openalex.org/W2106822551","https://openalex.org/W2127870748","https://openalex.org/W2129606454","https://openalex.org/W2155503253","https://openalex.org/W2155653793","https://openalex.org/W2158698691","https://openalex.org/W2191779130","https://openalex.org/W2242773987","https://openalex.org/W2250966211","https://openalex.org/W2265846598","https://openalex.org/W2286647287","https://openalex.org/W2293255527","https://openalex.org/W2340134902","https://openalex.org/W2397811227","https://openalex.org/W2404620398","https://openalex.org/W2406196141","https://openalex.org/W2407607556","https://openalex.org/W2414894569","https://openalex.org/W2585320043","https://openalex.org/W2963285578","https://openalex.org/W2963451564","https://openalex.org/W6690394000","https://openalex.org/W6712946787","https://openalex.org/W6713465158"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2768320620"],"abstract_inverted_index":{"Deep":[0],"feature":[1],"learning":[2],"methods":[3],"have":[4],"been":[5],"aggressively":[6],"applied":[7],"in":[8,45],"the":[9,23,40,56,61,72,75,97,111,122,139],"field":[10],"of":[11,48,74,127,142],"music":[12,69],"tagging":[13,70],"retrieval":[14],"Genre":[15],"categorization,":[16],"mood":[17],"classification,":[18],"and":[19,78,130],"chord":[20],"detection":[21],"are":[22,44,138],"most":[24],"common":[25],"tags":[26,120,126],"from":[27,121],"local":[28,41],"spectral":[29],"to":[30,59,117],"temporal":[31,62],"structure.":[32],"Convolutional":[33],"Neural":[34,52],"networks":[35],"(CNNs)":[36],"using":[37],"kernels":[38],"extract":[39],"features":[42,58],"that":[43],"different":[46],"levels":[47],"hierarchy":[49],"while":[50],"Recurrent":[51],"Networks":[53],"(RNNs)":[54],"discover":[55],"global":[57],"understand":[60],"context,":[63],"CRNN":[64,85,132],"architectures":[65],"as":[66],"a":[67,84],"powerful":[68],"utilize":[71],"benefits":[73],"both":[76],"CNN":[77],"RNN":[79],"structures.":[80],"In":[81],"this":[82,128,143],"article":[83],"structure":[86],"on":[87,110],"MagnaTagA":[88],"Tune":[89],"dataset":[90,129],"is":[91,100],"proposed.":[92],"The":[93,114],"AUC-ROC":[94],"index":[95],"for":[96,135],"proposed":[98],"architecture":[99,133],"0.893":[101],"which":[102],"shows":[103],"its":[104],"superiority":[105],"rather":[106],"than":[107],"traditional":[108],"structures":[109],"same":[112],"database.":[113],"merging":[115],"mechanism":[116],"obtain":[118],"50":[119],"whole":[123],"188":[124],"existing":[125],"simple":[131],"designed":[134],"tag":[136],"discovering":[137],"main":[140],"contribution":[141],"paper.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}