{"id":"https://openalex.org/W6910550801","doi":"https://doi.org/10.48550/arxiv.2207.05688","title":"ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships","display_name":"ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W6910550801","doi":"https://doi.org/10.48550/arxiv.2207.05688"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2207.05688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.05688","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2207.05688","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang, Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chang, Luchin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Luchin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wu, Songruoyao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Songruoyao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Tan, Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Xu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Qin, Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Tie-Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Tie-Yan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Zhang, Kejun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Kejun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.46059998869895935,"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"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.46059998869895935,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.19850000739097595,"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/T11309","display_name":"Music and Audio Processing","score":0.15309999883174896,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lyrics","display_name":"Lyrics","score":0.9625999927520752},{"id":"https://openalex.org/keywords/melody","display_name":"Melody","score":0.878600001335144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5156999826431274},{"id":"https://openalex.org/keywords/harmony","display_name":"Harmony (color)","score":0.47440001368522644},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3343999981880188}],"concepts":[{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.9625999927520752},{"id":"https://openalex.org/C43803900","wikidata":"https://www.wikidata.org/wiki/Q170412","display_name":"Melody","level":3,"score":0.878600001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6909000277519226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578499972820282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C2776453491","wikidata":"https://www.wikidata.org/wiki/Q5659234","display_name":"Harmony (color)","level":2,"score":0.47440001368522644},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4361000061035156},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42640000581741333},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.32280001044273376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30329999327659607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2838999927043915}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2207.05688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.05688","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2207.05688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2207.05688","pdf_url":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Lyric-to-melody":[0],"generation,":[1],"which":[2,52],"generates":[3],"melody":[4],"according":[5],"to":[6,79,125,142],"given":[7],"lyrics,":[8],"is":[9],"one":[10],"of":[11,23,101,137,158,163],"the":[12,20,43,54,81,122,127,144,156,161,168],"most":[13],"important":[14],"automatic":[15],"music":[16,77,169],"composition":[17],"tasks.":[18],"With":[19],"rapid":[21],"development":[22],"deep":[24,37],"learning,":[25],"previous":[26],"works":[27],"address":[28],"this":[29,62],"task":[30],"with":[31],"end-to-end":[32],"neural":[33,113,172],"network":[34,114],"models.":[35],"However,":[36],"learning":[38],"models":[39,116],"cannot":[40],"well":[41],"capture":[42],"strict":[44],"but":[45],"subtle":[46],"relationships":[47,166],"between":[48,56,72,83,129],"lyrics":[49,57,84,94,130],"and":[50,58,74,85,95,104,131,139,151],"melodies,":[51],"compromises":[53],"harmony":[55,82,128],"generated":[59,145],"melodies.":[60,86,132,146],"In":[61],"paper,":[63],"we":[64,88],"propose":[65],"ReLyMe,":[66,159],"a":[67,135],"method":[68],"that":[69,93],"incorporates":[70],"Relationships":[71],"Lyrics":[73],"Melodies":[75],"from":[76,167],"theory":[78],"ensure":[80],"Specifically,":[87],"first":[89],"introduce":[90],"several":[91],"principles":[92,108],"melodies":[96],"should":[97],"follow":[98],"in":[99],"terms":[100],"tone,":[102],"rhythm,":[103],"structure":[105],"relationships.":[106],"These":[107],"are":[109],"then":[110],"integrated":[111],"into":[112,171],"lyric-to-melody":[115,173],"by":[117],"adding":[118],"corresponding":[119],"constraints":[120],"during":[121],"decoding":[123],"process":[124],"improve":[126],"We":[133],"use":[134],"series":[136],"objective":[138],"subjective":[140],"metrics":[141],"evaluate":[143],"Experiments":[147],"on":[148],"both":[149],"English":[150],"Chinese":[152],"song":[153],"datasets":[154],"show":[155],"effectiveness":[157],"demonstrating":[160],"superiority":[162],"incorporating":[164],"lyric-melody":[165],"domain":[170],"generation.":[174]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}