{"id":"https://openalex.org/W4286851116","doi":"https://doi.org/10.48550/arxiv.2111.11703","title":"A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence","display_name":"A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence","publication_year":2021,"publication_date":"2021-11-23","ids":{"openalex":"https://openalex.org/W4286851116","doi":"https://doi.org/10.48550/arxiv.2111.11703"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2111.11703","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.11703","pdf_url":"https://arxiv.org/pdf/2111.11703","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.11703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087426444","display_name":"Taketo Akama","orcid":"https://orcid.org/0009-0007-6971-2777","observed_orcids":["https://orcid.org/0009-0007-6971-2777"]},"institutions":[{"id":"https://openalex.org/I4210122684","display_name":"Sony Computer Science Laboratories","ror":"https://ror.org/02nc46417","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210122684"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akama, Taketo","raw_affiliation_strings":["Sony Computer Science Laboratories , Tokyo , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories , Tokyo , Japan","institution_ids":["https://openalex.org/I4210122684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087426444"],"corresponding_institution_ids":["https://openalex.org/I4210122684"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.8949999809265137,"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"}},"topics":[{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.8949999809265137,"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/T11309","display_name":"Music and Audio Processing","score":0.05719999969005585,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.01730000041425228,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/symbolic-music-generation","display_name":"symbolic music generation","score":0.6869999766349792},{"id":"https://openalex.org/keywords/monophony","display_name":"monophonic music","score":0.671999990940094},{"id":"https://openalex.org/keywords/interpolation","display_name":"interpolation","score":0.44999998807907104}],"concepts":[{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7559269070625305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6964843273162842},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6712268590927124},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6528035998344421},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6228167414665222},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5657134652137756},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5557053089141846},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.547038733959198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5072078704833984},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.48063817620277405},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.424233078956604},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42188161611557007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19117620587348938},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.12495869398117065},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08699503540992737},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2111.11703","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.11703","pdf_url":"https://arxiv.org/pdf/2111.11703","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2111.11703","doi":"https://doi.org/10.48550/arxiv.2111.11703","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2111.11703","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.11703","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.11703","pdf_url":"https://arxiv.org/pdf/2111.11703","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286851116.pdf","grobid_xml":"https://content.openalex.org/works/W4286851116.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2805697608","https://openalex.org/W7133229781","https://openalex.org/W4391482983","https://openalex.org/W4403370403","https://openalex.org/W2990251204","https://openalex.org/W2954957095","https://openalex.org/W3113131832","https://openalex.org/W4392904237","https://openalex.org/W7106706946","https://openalex.org/W4283162657"],"abstract_inverted_index":{"Some":[0],"generative":[1,89],"models":[2],"for":[3,52],"sequences":[4],"such":[5],"as":[6,72,74],"music":[7,109],"and":[8,85,93,123],"text":[9],"allow":[10],"us":[11],"to":[12,54,57,131],"edit":[13],"only":[14],"subsequences,":[15],"given":[16],"surrounding":[17],"context":[18,95],"sequences,":[19],"which":[20],"plays":[21],"an":[22],"important":[23],"part":[24],"in":[25,50,66,119],"steering":[26],"generation":[27,40,60,68,135],"interactively.":[28],"However,":[29],"editing":[30],"subsequences":[31,36],"mainly":[32],"involves":[33],"randomly":[34],"resampling":[35],"from":[37],"a":[38,44,62,94,106],"possible":[39,80],"space.":[41],"We":[42],"propose":[43],"contextual":[45,114],"latent":[46,115],"space":[47,116],"model":[48,90],"(CLSM)":[49],"order":[51],"users":[53],"be":[55],"able":[56],"explore":[58],"subsequence":[59],"with":[61],"sense":[63],"of":[64,91,126],"direction":[65],"the":[67,88,99,124],"space,":[69],"e.g.,":[70],"interpolation,":[71],"well":[73],"exploring":[75],"variations":[76],"--":[77],"semantically":[78],"similar":[79],"subsequences.":[81],"A":[82],"context-informed":[83],"prior":[84],"decoder":[86],"constitute":[87],"CLSM,":[92],"position-informed":[96],"encoder":[97],"is":[98,117,129],"inference":[100],"model.":[101],"In":[102],"experiments,":[103],"we":[104],"use":[105],"monophonic":[107],"symbolic":[108],"dataset,":[110],"demonstrating":[111],"that":[112],"our":[113],"smoother":[118],"interpolation":[120],"than":[121],"baselines,":[122],"quality":[125],"generated":[127],"samples":[128],"superior":[130],"baseline":[132],"models.":[133],"The":[134],"examples":[136],"are":[137],"available":[138],"online.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-07-25T00:00:00"}
