{"id":"https://openalex.org/W4381704699","doi":"https://doi.org/10.1080/08839514.2023.2211458","title":"An Automatic Classification Method for Multiple Music Genres by Integrating Emotions and Intelligent Algorithms","display_name":"An Automatic Classification Method for Multiple Music Genres by Integrating Emotions and Intelligent Algorithms","publication_year":2023,"publication_date":"2023-05-11","ids":{"openalex":"https://openalex.org/W4381704699","doi":"https://doi.org/10.1080/08839514.2023.2211458"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2023.2211458","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2211458","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2211458?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2211458?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100752081","display_name":"Jianwen Liu","orcid":"https://orcid.org/0000-0003-4929-1075"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianwen Liu","raw_affiliation_strings":["School of Early Childhood Teachers\u2019 Education, Lanzhou City University, Lanzhou, Gansu, China","School of Early Childhood Teachers' Education, Lanzhou City University, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Early Childhood Teachers\u2019 Education, Lanzhou City University, Lanzhou, Gansu, China","institution_ids":[]},{"raw_affiliation_string":"School of Early Childhood Teachers' Education, Lanzhou City University, Lanzhou, Gansu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100752081"],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":4.6972,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96065574,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"37","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9940999746322632,"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":0.9570000171661377,"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":0.8741472959518433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4576408565044403},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4254697859287262},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.380722314119339},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3773813545703888},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35826799273490906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8741472959518433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4576408565044403},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4254697859287262},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.380722314119339},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3773813545703888},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35826799273490906}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2023.2211458","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2211458","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2211458?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0b80edaceb044e3b8f429738ed85820a","is_oa":true,"landing_page_url":"https://doaj.org/article/0b80edaceb044e3b8f429738ed85820a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 37, Iss 1 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2023.2211458","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2023.2211458","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2211458?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381704699.pdf","grobid_xml":"https://content.openalex.org/works/W4381704699.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2316396648","https://openalex.org/W2599599434","https://openalex.org/W2769381217","https://openalex.org/W2797569606","https://openalex.org/W2801242090","https://openalex.org/W2892721256","https://openalex.org/W2903502793","https://openalex.org/W2955029774","https://openalex.org/W2997487237","https://openalex.org/W2998667937","https://openalex.org/W3009845531","https://openalex.org/W3013018332","https://openalex.org/W3113728755","https://openalex.org/W3117297807","https://openalex.org/W3152052918","https://openalex.org/W3172238599","https://openalex.org/W3184361655","https://openalex.org/W3187510934","https://openalex.org/W3194792761","https://openalex.org/W3207269267","https://openalex.org/W3209841987","https://openalex.org/W6992958143","https://openalex.org/W7048966660"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"this":[1,52],"paper,":[2],"we":[3,54],"present":[4],"an":[5,25],"approach":[6,144,158],"to":[7,46,81,106],"improve":[8,47,134],"the":[9,65,69,83,88,93,108,119,135,146,191],"effectiveness":[10,109],"of":[11,14,68,74,85,87,110,123,137,176],"automatic":[12,26,120,138,164],"classification":[13,29,48,121,167],"music":[15,32,45,124,139,165],"genres":[16],"by":[17],"integrating":[18],"emotion":[19,128,177],"and":[20,28,97,129,178,186],"intelligent":[21,130,179],"algorithms.":[22],"We":[23,102],"propose":[24],"recognition":[27],"algorithm":[30],"for":[31,163],"spectra,":[33],"which":[34,59,126],"takes":[35,169],"into":[36,170],"account":[37,171],"emotional":[38,172],"cues":[39],"that":[40,118,168],"can":[41,132,181],"be":[42],"extracted":[43],"from":[44],"accuracy.":[49],"To":[50],"achieve":[51,183],"goal,":[53],"set":[55],"different":[56],"weight":[57],"coefficients,":[58],"are":[60],"continuously":[61],"adjusted":[62],"based":[63],"on":[64],"convergence":[66,154],"process":[67],"previous":[70],"iteration.":[71],"The":[72,114,174],"size":[73],"each":[75],"weighting":[76],"coefficient":[77],"is":[78],"adaptively":[79],"controlled":[80],"reduce":[82,187],"number":[84],"iterations":[86],"reconstruction":[89],"process,":[90],"thereby":[91],"reducing":[92],"algorithm\u2019s":[94,147],"computational":[95,148,188],"complexity":[96],"speeding":[98],"up":[99],"its":[100],"convergence.":[101],"conducted":[103],"several":[104],"experiments":[105],"evaluate":[107],"our":[111,143],"proposed":[112,157,192],"method.":[113],"experimental":[115],"results":[116],"demonstrate":[117],"method":[122,193],"genres,":[125],"integrates":[127],"algorithms,":[131],"significantly":[133],"accuracy":[136,185],"genre":[140,166],"classification.":[141],"Moreover,":[142],"reduces":[145],"complexity,":[149,189],"resulting":[150],"in":[151,195],"a":[152,160],"faster":[153],"speed.":[155],"Our":[156],"provides":[159],"promising":[161],"solution":[162],"cues.":[173],"integration":[175],"algorithms":[180],"help":[182],"higher":[184],"making":[190],"applicable":[194],"various":[196],"scenarios.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":21}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
