{"id":"https://openalex.org/W6968646305","doi":"https://doi.org/10.5281/zenodo.4285350","title":"Modelling long- and short-term structure in symbolic music with attention and recurrence","display_name":"Modelling long- and short-term structure in symbolic music with attention and recurrence","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W6968646305","doi":"https://doi.org/10.5281/zenodo.4285350"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.4285350","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4285350","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.4285350","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jacopo de Berardinis","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jacopo de Berardinis","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Samuel Barrett","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Barrett","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Angelo Cangelosi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Angelo Cangelosi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Eduardo Coutinho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduardo Coutinho","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31355448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":0.9318000078201294,"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":0.9318000078201294,"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/T11309","display_name":"Music and Audio Processing","score":0.02810000069439411,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.006500000134110451,"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/transformer","display_name":"Transformer","score":0.5952000021934509},{"id":"https://openalex.org/keywords/musical-composition","display_name":"Musical composition","score":0.5029000043869019},{"id":"https://openalex.org/keywords/pop-music-automation","display_name":"Pop music automation","score":0.4909000098705292},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.44209998846054077},{"id":"https://openalex.org/keywords/computer-music","display_name":"Computer music","score":0.3806999921798706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3781000077724457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3450999855995178},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.34119999408721924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6732000112533569},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5952000021934509},{"id":"https://openalex.org/C109568592","wikidata":"https://www.wikidata.org/wiki/Q207628","display_name":"Musical composition","level":3,"score":0.5029000043869019},{"id":"https://openalex.org/C73520026","wikidata":"https://www.wikidata.org/wiki/Q7229091","display_name":"Pop music automation","level":4,"score":0.4909000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47850000858306885},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.44209998846054077},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42340001463890076},{"id":"https://openalex.org/C34259666","wikidata":"https://www.wikidata.org/wiki/Q1122550","display_name":"Computer music","level":3,"score":0.3806999921798706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3781000077724457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.34119999408721924},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29089999198913574},{"id":"https://openalex.org/C206118826","wikidata":"https://www.wikidata.org/wiki/Q3841682","display_name":"Multiple signal classification","level":3,"score":0.2732999920845032},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C2987788386","wikidata":"https://www.wikidata.org/wiki/Q476590","display_name":"Music perception","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C143857728","wikidata":"https://www.wikidata.org/wiki/Q193544","display_name":"Music theory","level":3,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.4285350","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4285350","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.5281/zenodo.4285350","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4285350","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"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":{"The":[0],"automatic":[1,148],"composition":[2,149],"of":[3,52,85,130,139],"music":[4,13,30,46,71,75,86,91,119,140],"with":[5,31,55],"long-term":[6,32,99],"structure":[7,33,100,120],"is":[8,34],"a":[9,36,42,94],"central":[10],"problem":[11],"in":[12,25,136,146],"generation.":[14],"Neural":[15],"network-based":[16],"models":[17,54,87,111],"have":[18],"been":[19],"shown":[20],"to":[21,69,81,118],"perform":[22],"relatively":[23],"well":[24],"melody":[26],"generation,":[27],"but":[28],"generating":[29],"still":[35],"major":[37],"challenge.":[38],"This":[39],"paper":[40],"introduces":[41],"new":[43],"approach":[44],"for":[45,97],"modelling":[47],"that":[48,104],"combines":[49],"recent":[50],"advancements":[51],"transformer":[53,63],"recurrent":[56],"networks":[57],"\u2013":[58,93],"the":[59,83,105,109,128,137],"long-short":[60],"term":[61],"universal":[62],"(LSTUT),":[64],"and":[65,112,134,142],"compare":[66],"its":[67],"ability":[68],"predict":[70],"against":[72],"current":[73],"state-of-the-art":[74],"models.":[76],"Our":[77],"experiments":[78],"are":[79],"designed":[80],"push":[82],"boundaries":[84],"on":[88],"considerably":[89],"long":[90],"sequences":[92],"crucial":[95],"requirement":[96],"learning":[98],"effectively.":[101],"Results":[102],"show":[103,127],"LSTUT":[106],"outperforms":[107],"all":[108],"other":[110],"can":[113],"potentially":[114],"learn":[115],"features":[116],"related":[117],"at":[121],"different":[122],"time":[123],"scales.":[124],"Overall,":[125],"we":[126],"importance":[129],"integrating":[131],"both":[132],"recurrence":[133],"attention":[135],"architecture":[138],"models,":[141],"their":[143],"potential":[144],"use":[145],"future":[147],"systems.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
