{"id":"https://openalex.org/W2901638613","doi":"https://doi.org/10.1007/s00521-018-3868-4","title":"Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation","display_name":"Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W2901638613","doi":"https://doi.org/10.1007/s00521-018-3868-4","mag":"2901638613"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-018-3868-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-018-3868-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-018-3868-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Neural Computing and Applications","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/s00521-018-3868-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051522702","display_name":"Ga\u00ebtan Hadjeres","orcid":"https://orcid.org/0000-0003-1462-6103"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ga\u00ebtan Hadjeres","raw_affiliation_strings":["Sony CSL, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-1462-6103","affiliations":[{"raw_affiliation_string":"Sony CSL, Paris, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061293973","display_name":"Frank Nielsen","orcid":"https://orcid.org/0000-0001-5728-0726"},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frank Nielsen","raw_affiliation_strings":["Sony CSL, Paris, France","\u00c9cole Polytechnique, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony CSL, Paris, France","institution_ids":[]},{"raw_affiliation_string":"\u00c9cole Polytechnique, Palaiseau, France","institution_ids":["https://openalex.org/I142476485"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051522702"],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.4913,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.93834322,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"32","issue":"4","first_page":"995","last_page":"1005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980000257492065,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7968219518661499},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7760909199714661},{"id":"https://openalex.org/keywords/melody","display_name":"Melody","score":0.7382271885871887},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.6870737671852112},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5616924166679382},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.5280352830886841},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.505362331867218},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.49051350355148315},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34087035059928894},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2282482385635376},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.21315044164657593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09873506426811218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968219518661499},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7760909199714661},{"id":"https://openalex.org/C43803900","wikidata":"https://www.wikidata.org/wiki/Q170412","display_name":"Melody","level":3,"score":0.7382271885871887},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.6870737671852112},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5616924166679382},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.5280352830886841},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.505362331867218},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.49051350355148315},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34087035059928894},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2282482385635376},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.21315044164657593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09873506426811218},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-018-3868-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-018-3868-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-018-3868-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-018-3868-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-018-3868-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-018-3868-4.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335228","display_name":"\u00c9cole Polytechnique, Universit\u00e9 Paris-Saclay","ror":"https://ror.org/05hy3tk52"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901638613.pdf","grobid_xml":"https://content.openalex.org/works/W2901638613.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W950853366","https://openalex.org/W1573082642","https://openalex.org/W1583837637","https://openalex.org/W1819710477","https://openalex.org/W1912497050","https://openalex.org/W1963871118","https://openalex.org/W2063703901","https://openalex.org/W2064675550","https://openalex.org/W2129192849","https://openalex.org/W2131774270","https://openalex.org/W2144499799","https://openalex.org/W2162995444","https://openalex.org/W2402555437","https://openalex.org/W2523097914","https://openalex.org/W2530599788","https://openalex.org/W2557283755","https://openalex.org/W2565964938","https://openalex.org/W2579406683","https://openalex.org/W2584641794","https://openalex.org/W2588217777","https://openalex.org/W2740988298","https://openalex.org/W2747545581","https://openalex.org/W2758804652","https://openalex.org/W2792210438","https://openalex.org/W2962699318","https://openalex.org/W2963575853","https://openalex.org/W3122518304","https://openalex.org/W4229633200","https://openalex.org/W4300958603"],"related_works":["https://openalex.org/W2118466154","https://openalex.org/W2118371117","https://openalex.org/W2464878701","https://openalex.org/W4247380401","https://openalex.org/W3013946943","https://openalex.org/W2888918612","https://openalex.org/W3112683371","https://openalex.org/W3113198510","https://openalex.org/W1918576746","https://openalex.org/W2166285859"],"abstract_inverted_index":{"Recurrent":[0],"neural":[1],"networks":[2],"(RNNs)":[3],"are":[4],"now":[5],"widely":[6],"used":[7,141],"on":[8,83],"sequence":[9],"generation":[10,30,128],"tasks":[11],"due":[12],"to":[13,16,21,74,134],"their":[14,28],"ability":[15],"learn":[17],"long-range":[18],"dependencies":[19],"and":[20,47,126],"generate":[22],"sequences":[23,131],"of":[24,67,86,95,99,111,115,129],"arbitrary":[25],"length.":[26],"However,":[27],"left-to-right":[29],"procedure":[31],"only":[32],"allows":[33],"a":[34,38,58],"limited":[35],"control":[36],"from":[37,119],"potential":[39],"user":[40],"which":[41,63],"makes":[42],"them":[43],"unsuitable":[44],"for":[45,142],"interactive":[46,52,127],"creative":[48,143],"usages":[49],"such":[50],"as":[51],"music":[53],"generation.":[54],"This":[55,124],"article":[56],"introduces":[57],"novel":[59],"architecture":[60],"called":[61],"anticipation-RNN":[62,109],"possesses":[64],"the":[65,68,84,93,96,100,108,112,120],"assets":[66],"RNN-based":[69],"generative":[70],"models":[71],"while":[72],"allowing":[73],"enforce":[75],"user-defined":[76],"unary":[77,90],"constraints.":[78],"We":[79],"demonstrate":[80],"its":[81],"efficiency":[82],"task":[85],"generating":[87],"melodies":[88],"satisfying":[89],"constraints":[91],"in":[92],"style":[94],"soprano":[97],"parts":[98],"J.S.":[101],"Bach":[102],"chorale":[103],"harmonizations":[104],".":[105],"Sampling":[106],"using":[107],"is":[110],"same":[113],"order":[114],"complexity":[116],"than":[117],"sampling":[118],"traditional":[121],"RNN":[122],"model.":[123],"fast":[125],"musical":[130],"opens":[132],"ways":[133],"devise":[135],"real-time":[136],"systems":[137],"that":[138],"could":[139],"be":[140],"purposes.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
