{"id":"https://openalex.org/W3048830653","doi":"https://doi.org/10.48550/arxiv.2008.04391","title":"DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop","display_name":"DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop","publication_year":2020,"publication_date":"2020-08-10","ids":{"openalex":"https://openalex.org/W3048830653","doi":"https://doi.org/10.48550/arxiv.2008.04391","mag":"3048830653"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2008.04391","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.04391","pdf_url":"https://arxiv.org/pdf/2008.04391","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":null,"license_id":null,"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/2008.04391","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026419383","display_name":"Guillaume Alain","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alain, Guillaume","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027634678","display_name":"Maxime Chevalier-Boisvert","orcid":"https://orcid.org/0009-0007-1325-1676","observed_orcids":["https://orcid.org/0009-0007-1325-1676"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chevalier-Boisvert, Maxime","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047768953","display_name":"Fr\u00e9d\u00e9ric Osterrath","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Osterrath, Frederic","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046613290","display_name":"Remi Pich\u00e9-Taillefer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Piche-Taillefer, Remi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":10,"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":0.95169997215271,"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":0.95169997215271,"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":0.04580000042915344,"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/T10203","display_name":"Recommender Systems and Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/active-learning-machine-learning","display_name":"active learning (machine learning)","score":0.8009999990463257},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"human-in-the-loop","score":0.8939999938011169},{"id":"https://openalex.org/keywords/user-preference-modeling","display_name":"user preference modeling","score":0.6100000143051147},{"id":"https://openalex.org/keywords/audio-classification","display_name":"audio classification","score":0.5860000252723694},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.781000018119812},{"id":"https://openalex.org/keywords/music-generation","display_name":"music generation","score":0.4519999921321869},{"id":"https://openalex.org/keywords/cold-start","display_name":"cold start","score":0.6650000214576721},{"id":"https://openalex.org/keywords/user-interaction","display_name":"user interaction","score":0.3179999887943268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081705927848816},{"id":"https://openalex.org/C175845324","wikidata":"https://www.wikidata.org/wiki/Q2738285","display_name":"Drum","level":2,"score":0.6533685922622681},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6446625590324402},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5818558931350708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601436495780945},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.5435537695884705},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5377097129821777},{"id":"https://openalex.org/C186886427","wikidata":"https://www.wikidata.org/wiki/Q5441213","display_name":"Feedback loop","level":2,"score":0.4744321405887604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4418971538543701},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41356760263442993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40943801403045654},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3851219415664673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12332940101623535},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11067342758178711},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08697435259819031},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2008.04391","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.04391","pdf_url":"https://arxiv.org/pdf/2008.04391","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2008.04391","doi":"https://doi.org/10.48550/arxiv.2008.04391","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.04391","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.04391","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.04391","pdf_url":"https://arxiv.org/pdf/2008.04391","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320314000","display_name":"Compute Canada","ror":"https://ror.org/03ty8yr27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048830653.pdf","grobid_xml":"https://content.openalex.org/works/W3048830653.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2048657872","https://openalex.org/W2099471712","https://openalex.org/W2100610860","https://openalex.org/W2115083233","https://openalex.org/W2116206254","https://openalex.org/W2116671302","https://openalex.org/W2148154194","https://openalex.org/W2161735965","https://openalex.org/W2162409443","https://openalex.org/W2299144717","https://openalex.org/W2519091744","https://openalex.org/W2564034046","https://openalex.org/W2604763608","https://openalex.org/W2887720658","https://openalex.org/W2894295011","https://openalex.org/W2910577860","https://openalex.org/W2946521317","https://openalex.org/W2950299304","https://openalex.org/W2951986497","https://openalex.org/W2963681776","https://openalex.org/W2964263543","https://openalex.org/W2966220025","https://openalex.org/W2970006822","https://openalex.org/W3140968660"],"related_works":["https://openalex.org/W4297848786","https://openalex.org/W4297899285","https://openalex.org/W2799187451","https://openalex.org/W7029490507","https://openalex.org/W2892051461","https://openalex.org/W6930359316","https://openalex.org/W3209221083","https://openalex.org/W4283755824","https://openalex.org/W1522540737","https://openalex.org/W4415344459"],"abstract_inverted_index":{"DeepDrummer":[0,149],"is":[1,35,150],"a":[2,20,24,47,67,90,100,117,127,137,161],"drum":[3,71],"loop":[4],"generation":[5],"tool":[6,34],"that":[7,69,92,148],"uses":[8],"active":[9],"learning":[10],"to":[11,36,79,88,95,113,152],"learn":[12],"the":[13,63,106,134,155],"preferences":[14],"(or":[15],"current":[16],"artistic":[17],"intentions)":[18],"of":[19,27,32,41,66,103,129,139,157,164],"human":[21],"user":[22],"from":[23,116,126],"small":[25,162],"number":[26,102,163],"interactions.":[28,165],"The":[29],"principal":[30],"goal":[31],"this":[33],"enable":[37],"an":[38],"efficient":[39],"exploration":[40],"new":[42],"musical":[43],"ideas.":[44],"We":[45,86],"train":[46],"deep":[48],"neural":[49],"network":[50],"classifier":[51],"on":[52,74],"audio":[53,130],"data":[54],"and":[55],"show":[56],"how":[57,80],"it":[58],"can":[59,93],"be":[60,84,114],"used":[61,115],"as":[62,78],"core":[64],"component":[65],"system":[68,91],"generates":[70],"loops":[72,82],"based":[73],"few":[75],"prior":[76],"beliefs":[77],"these":[81],"should":[83],"structured.":[85],"aim":[87],"build":[89],"converge":[94,153],"meaningful":[96],"results":[97],"even":[98],"with":[99,105,142],"limited":[101],"interactions":[104],"user.":[107,135],"This":[108],"property":[109],"enables":[110],"our":[111,158],"method":[112],"cold":[118],"start":[119],"situation":[120],"(no":[121],"pre-existing":[122],"dataset),":[123],"or":[124],"starting":[125],"collection":[128],"samples":[131],"provided":[132],"by":[133],"In":[136],"proof":[138],"concept":[140],"study":[141],"25":[143],"participants,":[144],"we":[145],"empirically":[146],"demonstrate":[147],"able":[151],"towards":[154],"preference":[156],"subjects":[159],"after":[160]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-08-18T00:00:00"}