{"id":"https://openalex.org/W6911721685","doi":"https://doi.org/10.5281/zenodo.14877287","title":"FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs","display_name":"FruitsMusic: A Real-World Corpus of Japanese Idol-Group Songs","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W6911721685","doi":"https://doi.org/10.5281/zenodo.14877287"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.14877287","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877287","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.14877287","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hitoshi Suda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hitoshi Suda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Shunsuke Yoshida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunsuke Yoshida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tomohiko Nakamura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomohiko Nakamura","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Satoru Fukayama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Satoru Fukayama","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Jun Ogata","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Ogata","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13303","display_name":"Asian Culture and Media Studies","score":0.34540000557899475,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13303","display_name":"Asian Culture and Media Studies","score":0.34540000557899475,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.055399999022483826,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.031700000166893005,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lyrics","display_name":"Lyrics","score":0.8586000204086304},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6308000087738037},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.5031999945640564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4408999979496002},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.38100001215934753},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.36570000648498535},{"id":"https://openalex.org/keywords/popular-music","display_name":"Popular music","score":0.3301999866962433}],"concepts":[{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.8586000204086304},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6308000087738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6037999987602234},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5083000063896179},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4634000062942505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4408999979496002},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.38100001215934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37380000948905945},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.36570000648498535},{"id":"https://openalex.org/C114611597","wikidata":"https://www.wikidata.org/wiki/Q373342","display_name":"Popular music","level":2,"score":0.3301999866962433},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C91863865","wikidata":"https://www.wikidata.org/wiki/Q4349497","display_name":"Speech corpus","level":3,"score":0.3005000054836273},{"id":"https://openalex.org/C11192451","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Stylometry","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C44819458","wikidata":"https://www.wikidata.org/wiki/Q27939","display_name":"Singing","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.14877287","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877287","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"doi:10.5281/zenodo.14877287","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877287","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferencePaper"},"sustainable_development_goals":[{"score":0.4338599443435669,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,142],"study":[1],"presents":[2],"FruitsMusic,":[3,149],"a":[4,32,45,69,129,145],"metadata":[5],"corpus":[6,82],"of":[7,75,108,132,148,167],"Japanese":[8,23,28,76,124],"idol-group":[9,24,125],"songs":[10,38,87,126,133],"in":[11,176,188],"the":[12,106,165],"real":[13],"world,":[14],"precisely":[15],"annotated":[16],"with":[17],"who":[18],"sings":[19],"what":[20],"and":[21,44,92,95,118,154,174],"when.":[22],"songs,":[25],"vital":[26],"to":[27,53,100,158],"pop":[29],"culture,":[30],"feature":[31],"unique":[33,155],"vocal":[34],"arrangement":[35],"style,":[36],"where":[37],"are":[39,51],"divided":[40],"into":[41],"several":[42],"segments,":[43],"specific":[46],"individual":[47],"or":[48,136],"multiple":[49,137],"singers":[50,138],"assigned":[52],"each":[54],"segment.":[55],"To":[56],"enhance":[57],"singer":[58,119,171],"diarization":[59,175,190],"methods":[60,169],"for":[61,170],"recognizing":[62],"such":[63,114],"structures,":[64],"we":[65],"constructed":[66],"FruitsMusic":[67,103],"as":[68,115],"resource":[70],"using":[71,180],"40":[72],"music":[73,110],"videos":[74],"idol":[77],"groups":[78,96],"from":[79,98,139],"YouTube.":[80],"The":[81],"includes":[83],"detailed":[84],"annotations,":[85],"covering":[86],"across":[88],"various":[89,109,140],"genres,":[90],"division":[91],"assignment":[93],"styles,":[94],"ranging":[97],"4":[99],"9":[101],"members.":[102],"also":[104,128],"facilitates":[105],"development":[107],"information":[111],"retrieval":[112],"techniques,":[113],"lyrics":[116],"transcription":[117],"identification,":[120],"benefiting":[121],"not":[122],"only":[123],"but":[127],"wide":[130],"range":[131],"featuring":[134],"single":[135],"cultures.":[141],"paper":[143,163,184],"offers":[144],"comprehensive":[146],"overview":[147],"including":[150],"its":[151],"creation":[152],"methodology":[153],"characteristics":[156],"compared":[157],"conversational":[159],"speech.":[160],"Additionally,":[161],"this":[162,183],"evaluates":[164],"efficacy":[166],"current":[168],"embedding":[172],"extraction":[173],"challenging":[177],"real-world":[178],"conditions":[179],"FruitsMusic.":[181],"Furthermore,":[182],"examines":[185],"potential":[186],"improvements":[187],"automatic":[189],"performance":[191],"through":[192],"evaluating":[193],"human":[194],"performance.":[195]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
