{"id":"https://openalex.org/W2966220025","doi":"https://doi.org/10.1109/waspaa.2019.8937261","title":"High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction","display_name":"High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2966220025","doi":"https://doi.org/10.1109/waspaa.2019.8937261","mag":"2966220025"},"language":"en","primary_location":{"id":"doi:10.1109/waspaa.2019.8937261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.00948","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113914858","display_name":"Stefan Lattner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Lattner","raw_affiliation_strings":["Sony Computer Science Laboratories (CSL), Paris, France","Sony Computer Science Laboratories (CSL),Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Computer Science Laboratories (CSL), Paris, France","institution_ids":[]},{"raw_affiliation_string":"Sony Computer Science Laboratories (CSL),Paris,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050343712","display_name":"Maarten Grachten","orcid":"https://orcid.org/0000-0002-9488-0840"},"institutions":[{"id":"https://openalex.org/I4210131385","display_name":"Sony (France)","ror":"https://ror.org/03cr99w51","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210131385","https://openalex.org/I4210143797"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maarten Grachten","raw_affiliation_strings":["Contractor for Sony CSL, Paris, France","Contractor for Sony CSL,Paris,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Contractor for Sony CSL, Paris, France","institution_ids":["https://openalex.org/I4210131385"]},{"raw_affiliation_string":"Contractor for Sony CSL,Paris,France","institution_ids":["https://openalex.org/I4210131385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.970300018787384,"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/drum","display_name":"Drum","score":0.7166572213172913},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.6946021318435669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6878104209899902},{"id":"https://openalex.org/keywords/musical","display_name":"Musical","score":0.6104353070259094},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5493504405021667},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5110551118850708},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4967835247516632},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4764462113380432},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4396049678325653},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.43242523074150085},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40724730491638184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3971143364906311},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13331139087677002},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.10996967554092407},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07551604509353638},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07243695855140686},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.07087552547454834},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.06113740801811218}],"concepts":[{"id":"https://openalex.org/C175845324","wikidata":"https://www.wikidata.org/wiki/Q2738285","display_name":"Drum","level":2,"score":0.7166572213172913},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.6946021318435669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878104209899902},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.6104353070259094},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5493504405021667},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5110551118850708},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4967835247516632},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4764462113380432},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4396049678325653},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43242523074150085},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40724730491638184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3971143364906311},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13331139087677002},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.10996967554092407},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07551604509353638},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07243695855140686},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.07087552547454834},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.06113740801811218},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/waspaa.2019.8937261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa.2019.8937261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1908.00948","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00948","pdf_url":"https://arxiv.org/pdf/1908.00948","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1908.00948","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1908.00948","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,"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":"Preprint"},{"id":"mag:2966220025","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.00948","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00948","pdf_url":"https://arxiv.org/pdf/1908.00948","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966220025.pdf","grobid_xml":"https://content.openalex.org/works/W2966220025.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2007726935","https://openalex.org/W2051224630","https://openalex.org/W2168510624","https://openalex.org/W2579406683","https://openalex.org/W2739969482","https://openalex.org/W2752134738","https://openalex.org/W2766465839","https://openalex.org/W2772474126","https://openalex.org/W2782255520","https://openalex.org/W2792826772","https://openalex.org/W2805697608","https://openalex.org/W2809277943","https://openalex.org/W2884558435","https://openalex.org/W2886204396","https://openalex.org/W2889880375","https://openalex.org/W2901638613","https://openalex.org/W2963032576","https://openalex.org/W2963454111","https://openalex.org/W2963575853","https://openalex.org/W2963681776","https://openalex.org/W2963883548","https://openalex.org/W6682103744","https://openalex.org/W6730558285","https://openalex.org/W6739879593","https://openalex.org/W6744222783","https://openalex.org/W6749351710","https://openalex.org/W6749428206","https://openalex.org/W6751598888","https://openalex.org/W6752526573","https://openalex.org/W6753869779","https://openalex.org/W6780248173","https://openalex.org/W6929360442"],"related_works":["https://openalex.org/W2997367363","https://openalex.org/W3088329082","https://openalex.org/W2892683924","https://openalex.org/W2919674084","https://openalex.org/W3113424871","https://openalex.org/W2963681776","https://openalex.org/W3136272958","https://openalex.org/W3213526216","https://openalex.org/W3022035305","https://openalex.org/W3158472478","https://openalex.org/W3185552534","https://openalex.org/W152917598","https://openalex.org/W751684614","https://openalex.org/W3154171150","https://openalex.org/W2809621972","https://openalex.org/W3096431806","https://openalex.org/W1990674601","https://openalex.org/W2619449989","https://openalex.org/W2908983667","https://openalex.org/W3003673875"],"abstract_inverted_index":{"Spurred":[0],"by":[1],"the":[2,30,66,70,74,112,131],"potential":[3],"of":[4,23,104],"deep":[5],"learning,":[6],"computational":[7],"music":[8,19,31,91],"generation":[9,20,32,50],"has":[10],"gained":[11],"renewed":[12],"academic":[13],"interest.":[14],"A":[15],"crucial":[16],"issue":[17],"in":[18,27,58,85],"is":[21,34],"that":[22,51,64,95,111,130],"user":[24],"control,":[25],"especially":[26],"scenarios":[28],"where":[29],"process":[33],"conditioned":[35],"on":[36],"existing":[37,53,71],"musical":[38,54],"material.":[39],"Here":[40],"we":[41,128],"propose":[42],"a":[43,61,90,102],"model":[44,113],"for":[45],"conditional":[46],"kick":[47,107,119],"drum":[48,108,120],"track":[49],"takes":[52],"material":[55,72,76],"as":[56],"input,":[57],"addition":[59],"to":[60,77,100,117,125,137],"low-dimensional":[62],"code":[63],"encodes":[65],"desired":[67],"relation":[68],"between":[69],"and":[73,110,139],"new":[75],"be":[78,98,115],"generated.":[79],"These":[80],"relational":[81],"codes":[82,96,133],"are":[83,134],"learned":[84,132],"an":[86],"unsupervised":[87],"manner":[88],"from":[89,122],"dataset.":[92],"We":[93],"show":[94],"can":[97,114],"sampled":[99],"create":[101],"variety":[103],"musically":[105],"plausible":[106],"tracks":[109],"used":[116],"transfer":[118],"patterns":[121],"one":[123],"song":[124],"another.":[126],"Lastly,":[127],"demonstrate":[129],"largely":[135],"invariant":[136],"tempo":[138],"time-shift.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
