{"id":"https://openalex.org/W7126187731","doi":"https://doi.org/10.1007/s42979-026-04747-6","title":"Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis","display_name":"Decoding Cultural Music Classification with Machine Learning and Segment Length Analysis","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126187731","doi":"https://doi.org/10.1007/s42979-026-04747-6"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-026-04747-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04747-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04747-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04747-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124441371","display_name":"Mesfin Abebe","orcid":null},"institutions":[{"id":"https://openalex.org/I865572129","display_name":"Adama Science and Technology University","ror":"https://ror.org/02ccba128","country_code":"ET","type":"education","lineage":["https://openalex.org/I865572129"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Mesfin Abebe","raw_affiliation_strings":["Adama Science and Technology University, Adama, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adama Science and Technology University, Adama, Ethiopia","institution_ids":["https://openalex.org/I865572129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124407964","display_name":"Leta Endashew","orcid":null},"institutions":[{"id":"https://openalex.org/I865572129","display_name":"Adama Science and Technology University","ror":"https://ror.org/02ccba128","country_code":"ET","type":"education","lineage":["https://openalex.org/I865572129"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Leta Endashew","raw_affiliation_strings":["CPU Business and Information Technology College, Adama, Ethiopia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CPU Business and Information Technology College, Adama, Ethiopia","institution_ids":["https://openalex.org/I865572129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124423854","display_name":"Jukka Heikkonen","orcid":null},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Heikkonen","raw_affiliation_strings":["University of Turku, Turku, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006634412","display_name":"Rajeev Kanth","orcid":"https://orcid.org/0000-0003-1109-1211"},"institutions":[{"id":"https://openalex.org/I229325710","display_name":"Savonia University of Applied Sciences","ror":"https://ror.org/0238fqd79","country_code":"FI","type":"education","lineage":["https://openalex.org/I229325710"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Rajeev Kanth","raw_affiliation_strings":["Savonia University of Applied Sciences, Kuopio, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Savonia University of Applied Sciences, Kuopio, Finland","institution_ids":["https://openalex.org/I229325710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021083802","display_name":"Sudhir Kumar Mohapatra","orcid":"https://orcid.org/0000-0003-3065-3881"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Sudhir Kumar Mohapatra","raw_affiliation_strings":["University of Turku, Turku, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021083802"],"corresponding_institution_ids":["https://openalex.org/I155660961"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":{"value":3190,"currency":"USD","value_usd":3190},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09522328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"2","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":0.9129999876022339,"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":0.9129999876022339,"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/T13996","display_name":"Diverse Musicological Studies","score":0.007899999618530273,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.00279999990016222,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5856000185012817},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5759999752044678},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5705999732017517},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.5288000106811523},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5037999749183655},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.4921000003814697},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4657999873161316},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4496999979019165}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6855999827384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6705999970436096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6195999979972839},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5759999752044678},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.5288000106811523},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5037999749183655},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.4921000003814697},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4657999873161316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3077000081539154},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-026-04747-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04747-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04747-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-026-04747-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04747-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04747-6.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41337838768959045}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323313","display_name":"Turun Yliopisto","ror":"https://ror.org/05vghhr25"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7126187731.pdf","grobid_xml":"https://content.openalex.org/works/W7126187731.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1825426646","https://openalex.org/W2026965228","https://openalex.org/W2099760476","https://openalex.org/W2100700860","https://openalex.org/W2107430826","https://openalex.org/W2112749680","https://openalex.org/W2127177652","https://openalex.org/W2128196382","https://openalex.org/W2133824856","https://openalex.org/W2191779130","https://openalex.org/W2949900030","https://openalex.org/W2963451564","https://openalex.org/W3112785251","https://openalex.org/W4292367563","https://openalex.org/W4382397550","https://openalex.org/W4392162222","https://openalex.org/W4395080504"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Music":[1],"is":[2,13,35],"a":[3,197],"sound":[4],"composed":[5],"with":[6,18,139],"rhythm,":[7],"melody,":[8],"or":[9],"harmony,":[10],"and":[11,17,29,38,66,104,125,169,180,195,204],"it":[12],"evolving":[14],"in":[15],"time":[16,36],"the":[19,22,32,79,90,131,136],"culture":[20],"of":[21,27,31,58],"society.":[23],"The":[24,107,183],"manual":[25,112],"way":[26],"classifying":[28],"searching":[30],"Ethiopian":[33,44,59,192],"music":[34,46,61,69,80,194,202],"consuming,":[37],"expensive.":[39],"In":[40],"this":[41,53],"study,":[42],"an":[43],"cultural":[45,60,193],"classification":[47,91,152],"models":[48,108],"are":[49,62,86,109],"proposed":[50],"to":[51,88,174,177],"simplify":[52],"task.":[54],"A":[55],"large":[56],"number":[57],"collected":[63],"from":[64],"YouTube":[65],"other":[67,137],"online":[68],"database.":[70],"This":[71],"data":[72],"set":[73],"has":[74],"10":[75],"classes":[76],"based":[77],"on":[78,130],"genre.":[81],"Eight":[82],"machine":[83,187],"learning":[84,188],"algorithms":[85,138],"employed":[87],"build":[89],"models:":[92],"Logistic":[93],"Regression,":[94],"Naive":[95],"Bayes,":[96],"KNN,":[97],"MLP,":[98],"SVM,":[99],"Decision":[100],"Trees,":[101],"Random":[102,133],"Forest,":[103],"Adaboost":[105],"algorithms.":[106],"optimized":[110],"using":[111,144],"hyperparameter":[113],"tuning,":[114],"randomized":[115],"search,":[116,118],"grid":[117],"genetic":[119],"algorithm":[120],"(TPOT":[121],"classifier),":[122],"Bayesian":[123],"(hyperopt),":[124],"Optuna":[126],"optimization":[127,149],"techniques.":[128],"Based":[129],"experiments,":[132],"Forest":[134],"outperforms":[135],"80%":[140],"accuracy.":[141],"Statistical":[142],"analysis":[143,160],"one-way":[145],"ANOVA":[146],"confirmed":[147],"that":[148,162,186],"significantly":[150],"improved":[151],"performance":[153],"(":[154],"p":[155],"<":[156],"0.05).":[157],"Confusion":[158],"matrix":[159],"revealed":[161],"certain":[163],"regional":[164],"styles,":[165],"such":[166],"as":[167],"Gojam":[168],"Somali,":[170],"were":[171],"more":[172],"prone":[173],"misclassification":[175],"due":[176],"overlapping":[178],"rhythmic":[179],"tonal":[181],"features.":[182],"results":[184],"demonstrate":[185],"can":[189],"effectively":[190],"classify":[191],"provide":[196],"foundation":[198],"for":[199],"developing":[200],"intelligent":[201],"retrieval":[203],"recommendation":[205],"systems.":[206]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-02-01T00:00:00"}