{"id":"https://openalex.org/W4389296290","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335466","title":"Creating Latent Representations of Synthesizer Patches using Variational Autoencoders","display_name":"Creating Latent Representations of Synthesizer Patches using Variational Autoencoders","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4389296290","doi":"https://doi.org/10.1109/ieeeconf59510.2023.10335466"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf59510.2023.10335466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59510.2023.10335466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011214520","display_name":"Matthew Peachey","orcid":"https://orcid.org/0000-0002-7238-423X"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matthew Peachey","raw_affiliation_strings":["Dalhousie University,Graphics and Experiential Media Lab,Halifax,Canada","Graphics and Experiential Media Lab, Dalhousie University, Halifax, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University,Graphics and Experiential Media Lab,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Graphics and Experiential Media Lab, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082789942","display_name":"Sageev Oore","orcid":"https://orcid.org/0000-0002-8130-3569"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sageev Oore","raw_affiliation_strings":["Dalhousie University,Faculty of Computer Science,Halifax,Canada","Faculty of Computer Science, Dalhousie University, Halifax, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University,Faculty of Computer Science,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Faculty of Computer Science, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054889044","display_name":"Joseph Malloch","orcid":"https://orcid.org/0000-0001-9684-2269"},"institutions":[{"id":"https://openalex.org/I129902397","display_name":"Dalhousie University","ror":"https://ror.org/01e6qks80","country_code":"CA","type":"education","lineage":["https://openalex.org/I129902397"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Joseph Malloch","raw_affiliation_strings":["Dalhousie University,Graphics and Experiential Media Lab,Halifax,Canada","Graphics and Experiential Media Lab, Dalhousie University, Halifax, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalhousie University,Graphics and Experiential Media Lab,Halifax,Canada","institution_ids":["https://openalex.org/I129902397"]},{"raw_affiliation_string":"Graphics and Experiential Media Lab, Dalhousie University, Halifax, Canada","institution_ids":["https://openalex.org/I129902397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I129902397"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20050165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9754999876022339,"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":0.9754999876022339,"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":0.9721999764442444,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.6216970086097717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4641377329826355},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37600067257881165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216970086097717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4641377329826355},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37600067257881165}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf59510.2023.10335466","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ieeeconf59510.2023.10335466","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Symposium on the Internet of Sounds","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1997656478","https://openalex.org/W2079080230","https://openalex.org/W2345690065","https://openalex.org/W2407366291","https://openalex.org/W2901139351","https://openalex.org/W2913668833","https://openalex.org/W2938147415","https://openalex.org/W2948978827","https://openalex.org/W3046095786","https://openalex.org/W3096831136","https://openalex.org/W3131053508","https://openalex.org/W3160669408","https://openalex.org/W3187624058","https://openalex.org/W4285367200","https://openalex.org/W4399410307","https://openalex.org/W6623119443","https://openalex.org/W6713524522","https://openalex.org/W6736723571","https://openalex.org/W6749351710","https://openalex.org/W6758675244","https://openalex.org/W6765207196","https://openalex.org/W6781246006"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Digital":[0],"synthesizers":[1,63],"typically":[2],"feature":[3],"a":[4,30,41,84,89,119,127],"user-adjustable":[5,12],"parameter":[6,38,66],"space":[7,39,145],"(i.e.":[8],"the":[9,19,24,33,36,46,71,110,114,143],"set":[10],"of":[11,23,32,35,75,78,91],"parameters)":[13],"that":[14],"is":[15,29,45],"used":[16],"to":[17,50,97],"shape":[18],"sound":[20],"(or":[21],"timbre)":[22],"instrument.":[25],"A":[26],"synthesizer":[27,51,79,116],"patch":[28],"snapshot":[31],"state":[34],"instrument\u2019s":[37],"at":[40],"given":[42],"time":[43],"and":[44,60,73,132],"representation":[47,106],"most":[48],"familiar":[49],"users.":[52],"Creating":[53],"patches":[54,80,101,125,141],"can":[55],"often":[56],"be":[57],"repetitive,":[58],"tedious,":[59],"complicated":[61],"for":[62],"with":[64],"large":[65],"spaces.":[67],"This":[68],"paper":[69],"presents":[70],"creation":[72],"use":[74],"latent":[76,105,111,144],"representations":[77],"generated":[81],"by":[82,102],"training":[83],"Variational":[85],"Autoencoder":[86],"(VAE)":[87],"on":[88],"library":[90],"existing":[92],"patches.":[93],"We":[94],"demonstrate":[95],"how":[96,138],"generate":[98],"previously":[99],"unseen":[100],"exploring":[103],"this":[104],"via":[107],"interpolation":[108],"through":[109],"space.":[112],"Using":[113],"open-source":[115],"amSynth":[117],"as":[118,134,136],"test":[120],"bed,":[121],"we":[122],"evaluate":[123],"reconstructed":[124],"against":[126],"ground":[128],"truth":[129],"both,":[130],"numerically":[131],"timbrally,":[133],"well":[135],"show":[137],"generating":[139],"new":[140],"from":[142],"result":[146],"in":[147],"diverse":[148],"yet":[149],"musically":[150],"pleasing":[151],"timbres.":[152]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
