{"id":"https://openalex.org/W4384702782","doi":"https://doi.org/10.1109/iwssip58668.2023.10180235","title":"Multi-Modal Music Mood Classification with Dynamic Classifier Selection","display_name":"Multi-Modal Music Mood Classification with Dynamic Classifier Selection","publication_year":2023,"publication_date":"2023-06-27","ids":{"openalex":"https://openalex.org/W4384702782","doi":"https://doi.org/10.1109/iwssip58668.2023.10180235"},"language":"en","primary_location":{"id":"doi:10.1109/iwssip58668.2023.10180235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwssip58668.2023.10180235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)","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/A5049395582","display_name":"Jo\u00e3o G. Bracaioli Vit\u00f3rio","orcid":null},"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":true,"raw_author_name":"Jo\u00e3o G. Bracaioli Vit\u00f3rio","raw_affiliation_strings":["Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112404986","display_name":"Alceu S. Britto","orcid":null},"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":"Alceu S. Britto Junior","raw_affiliation_strings":["Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042302042","display_name":"Costa Yandre M. G.","orcid":null},"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":"Costa Yandre M. G.","raw_affiliation_strings":["State University of Maring&#x00E1; (UEL),Department of Informatics,Maring&#x00E1; &#x2013; Paran&#x00E1;,Brazil"],"affiliations":[{"raw_affiliation_string":"State University of Maring&#x00E1; (UEL),Department of Informatics,Maring&#x00E1; &#x2013; Paran&#x00E1;,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":["Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Computer Science (PPGIA), Pontif&#x00ED;cia Universidade Cat&#x00F3;lica do Paran&#x00E1; (PUCPR),Curitiba,Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049395582"],"corresponding_institution_ids":["https://openalex.org/I176838256"],"apc_list":null,"apc_paid":null,"fwci":0.1986,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42087646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"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/T10860","display_name":"Speech and Audio Processing","score":0.9979000091552734,"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":0.9904999732971191,"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/classifier","display_name":"Classifier (UML)","score":0.7255105972290039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7187848687171936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6415830850601196},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5583102703094482},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47797414660453796},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4618277847766876},{"id":"https://openalex.org/keywords/mood","display_name":"Mood","score":0.44793638586997986},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4413195848464966},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43019646406173706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42688286304473877},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.420209676027298}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7255105972290039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7187848687171936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6415830850601196},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5583102703094482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47797414660453796},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4618277847766876},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.44793638586997986},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4413195848464966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43019646406173706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42688286304473877},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.420209676027298},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwssip58668.2023.10180235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iwssip58668.2023.10180235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1529794689","https://openalex.org/W1825426646","https://openalex.org/W1966455875","https://openalex.org/W1969733464","https://openalex.org/W1988844742","https://openalex.org/W1999835014","https://openalex.org/W2024932032","https://openalex.org/W2040519441","https://openalex.org/W2041823554","https://openalex.org/W2071761836","https://openalex.org/W2086190344","https://openalex.org/W2089367555","https://openalex.org/W2098154993","https://openalex.org/W2101234009","https://openalex.org/W2102734279","https://openalex.org/W2106750173","https://openalex.org/W2133824856","https://openalex.org/W2137971377","https://openalex.org/W2138423018","https://openalex.org/W2145940431","https://openalex.org/W2148748626","https://openalex.org/W2149969775","https://openalex.org/W2158275940","https://openalex.org/W2165531849","https://openalex.org/W2204109560","https://openalex.org/W2330587814","https://openalex.org/W2402348207","https://openalex.org/W2473719327","https://openalex.org/W2563031223","https://openalex.org/W2730034540","https://openalex.org/W2752569017","https://openalex.org/W2755371172","https://openalex.org/W3193283274","https://openalex.org/W4206988683","https://openalex.org/W4256561644","https://openalex.org/W4312960235","https://openalex.org/W6642162515","https://openalex.org/W6675354045","https://openalex.org/W6712944438"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W3135448569","https://openalex.org/W2085671451"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"investigate":[4],"the":[5,16,54,65,76,84,93,97],"suitability":[6],"of":[7,10,18,86],"different":[8],"types":[9],"Dynamic":[11,31],"Classifier":[12,42],"Selection":[13,33],"approaches":[14],"for":[15,96],"task":[17,98],"multimodal":[19,62],"music":[20],"mood":[21],"classification.":[22],"The":[23,49,78],"dynamic":[24,87],"selection":[25,89],"methods":[26,90],"evaluated":[27],"were:":[28],"KNORA-UNION,":[29],"KNORAELIMINATE,":[30],"Ensemble":[32],"Performance,":[34],"Overall":[35],"Local":[36,38],"Accuracy,":[37,40],"Class":[39],"Multiple":[41],"Behaviour,":[43],"A":[44,47],"Priori":[45],"and":[46,75],"Posteriori.":[48],"experiments":[50],"were":[51],"performed":[52],"using":[53],"Brazilian":[55],"Music":[56],"Mood":[57],"Database,":[58],"which":[59],"is":[60],"a":[61],"database,":[63],"containing":[64],"audio":[66],"signal":[67],"itself,":[68],"beyond":[69],"their":[70],"visual":[71],"representation":[72],"(i.e.":[73],"spectrogram)":[74],"lyrics.":[77],"obtained":[79],"results":[80,95],"have":[81],"shown":[82],"that":[83],"use":[85],"classifier":[88],"can":[91],"improve":[92],"classification":[94],"at":[99],"hand.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
