{"id":"https://openalex.org/W2794560802","doi":"https://doi.org/10.1109/tmm.2018.2820903","title":"Music Popularity: Metrics, Characteristics, and Audio-Based Prediction","display_name":"Music Popularity: Metrics, Characteristics, and Audio-Based Prediction","publication_year":2018,"publication_date":"2018-03-29","ids":{"openalex":"https://openalex.org/W2794560802","doi":"https://doi.org/10.1109/tmm.2018.2820903","mag":"2794560802"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2820903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2820903","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1812.00551","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076607975","display_name":"Junghyuk Lee","orcid":"https://orcid.org/0000-0002-6164-0728"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Junghyuk Lee","raw_affiliation_strings":["School of Integrated Technology, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668167","display_name":"Jong\u2010Seok Lee","orcid":"https://orcid.org/0000-0002-8038-1119"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Seok Lee","raw_affiliation_strings":["School of Integrated Technology, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Integrated Technology, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076607975"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":3.6479,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.93958902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"11","first_page":"3173","last_page":"3182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.991100013256073,"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/T11113","display_name":"Music History and Culture","score":0.973800003528595,"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/popularity","display_name":"Popularity","score":0.9608129262924194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.784346342086792},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6708132028579712},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5999924540519714},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4255378544330597},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4051947295665741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590182065963745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3478446900844574},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3346160054206848},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.2590273320674896}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.9608129262924194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784346342086792},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6708132028579712},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5999924540519714},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4255378544330597},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4051947295665741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590182065963745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3478446900844574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3346160054206848},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2590273320674896},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2018.2820903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2820903","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1812.00551","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.00551","pdf_url":"https://arxiv.org/pdf/1812.00551","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1812.00551","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1812.00551","pdf_url":"https://arxiv.org/pdf/1812.00551","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W47828995","https://openalex.org/W177707068","https://openalex.org/W1485670664","https://openalex.org/W1756034034","https://openalex.org/W1762479869","https://openalex.org/W1923230460","https://openalex.org/W1999437091","https://openalex.org/W2005562282","https://openalex.org/W2018403196","https://openalex.org/W2020847903","https://openalex.org/W2023517305","https://openalex.org/W2028443633","https://openalex.org/W2037913744","https://openalex.org/W2048874115","https://openalex.org/W2061887386","https://openalex.org/W2082774249","https://openalex.org/W2115387076","https://openalex.org/W2129069032","https://openalex.org/W2147453867","https://openalex.org/W2153635508","https://openalex.org/W2158835316","https://openalex.org/W2162124943","https://openalex.org/W2171410332","https://openalex.org/W2294002049","https://openalex.org/W2294150958","https://openalex.org/W2294323335","https://openalex.org/W2417057457","https://openalex.org/W2510021852","https://openalex.org/W2566980712","https://openalex.org/W2591643707","https://openalex.org/W2765176396","https://openalex.org/W2950819815","https://openalex.org/W2963465792","https://openalex.org/W2980286501","https://openalex.org/W3105117297","https://openalex.org/W3124627942","https://openalex.org/W4285719527","https://openalex.org/W4411944801","https://openalex.org/W6601976940","https://openalex.org/W6607191522","https://openalex.org/W6683737379","https://openalex.org/W6697023568","https://openalex.org/W6697297547","https://openalex.org/W6725177998","https://openalex.org/W6744836587","https://openalex.org/W6768798221","https://openalex.org/W6837100809"],"related_works":["https://openalex.org/W2736574136","https://openalex.org/W2038216521","https://openalex.org/W2399955410","https://openalex.org/W3126677997","https://openalex.org/W2565286512","https://openalex.org/W2097377227","https://openalex.org/W2933782699","https://openalex.org/W2565238693","https://openalex.org/W3129283347","https://openalex.org/W1979706156"],"abstract_inverted_index":{"Understanding":[0],"music":[1,14,28,81,107],"popularity":[2,29,53,66,82,94,139],"is":[3,68,134],"important":[4],"not":[5,23],"only":[6],"for":[7,17,92,131],"the":[8,18,62,78,84,138,157],"artists":[9],"who":[10],"create":[11],"and":[12,37,117,159],"perform":[13],"but":[15],"also":[16,88],"music-related":[19],"industry.":[20],"It":[21],"has":[22],"been":[24],"studied":[25],"well":[26],"how":[27],"can":[30,40],"be":[31,41],"defined,":[32],"what":[33],"its":[34,151],"characteristics":[35,79],"are,":[36],"whether":[38],"it":[39,133],"predicted,":[42],"which":[43],"are":[44],"addressed":[45],"in":[46,83],"this":[47],"paper.":[48],"We":[49,87],"first":[50],"define":[51],"eight":[52],"metrics":[54,95,140],"to":[55,75,136],"cover":[56],"multiple":[57],"aspects":[58],"of":[59,64,80,141],"popularity.":[60],"Then,":[61],"analysis":[63],"each":[65],"metric":[67],"conducted":[69],"with":[70,110],"long-term":[71],"real-world":[72],"chart":[73],"data":[74],"deeply":[76],"understand":[77],"real":[85],"world.":[86],"build":[89],"classification":[90],"models":[91],"predicting":[93],"using":[96,155],"acoustic":[97,113],"data.":[98],"In":[99],"particular,":[100],"we":[101],"focus":[102],"on":[103,150],"evaluating":[104],"features":[105,114],"describing":[106],"complexity":[108,158],"together":[109],"other":[111],"conventional":[112],"including":[115],"MPEG-7":[116],"Mel-frequency":[118],"cepstral":[119],"coefficient":[120],"(MFCC)":[121],"features.":[122,161],"The":[123],"results":[124],"show":[125],"that,":[126],"although":[127],"room":[128],"still":[129],"exists":[130],"improvement,":[132],"feasible":[135],"predict":[137],"a":[142],"song":[143],"significantly":[144],"better":[145],"than":[146],"random":[147],"chance":[148],"based":[149],"audio":[152],"signal,":[153],"particularly":[154],"both":[156],"MFCC":[160]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}