{"id":"https://openalex.org/W2157880479","doi":"https://doi.org/10.1145/2576768.2598303","title":"Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming","display_name":"Automatic design of sound synthesizers as pure data patches using coevolutionary mixed-typed cartesian genetic programming","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2157880479","doi":"https://doi.org/10.1145/2576768.2598303","mag":"2157880479"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","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/A5026945018","display_name":"Matthieu Macret","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Matthieu Macret","raw_affiliation_strings":["Simon Fraser University, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022966906","display_name":"Philippe Pasquier","orcid":"https://orcid.org/0000-0001-8675-3561"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Pasquier","raw_affiliation_strings":["Simon Fraser University, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026945018"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.6914,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88242146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9887999892234802,"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":0.9883000254631042,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7135481834411621},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6159014701843262},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.598832368850708},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.540790319442749},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5386964678764343},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4517214000225067},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4492796063423157},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4464259147644043},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4378296136856079},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37198394536972046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24587967991828918},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21628865599632263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11010020971298218},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.09958979487419128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7135481834411621},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6159014701843262},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.598832368850708},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.540790319442749},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5386964678764343},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4517214000225067},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4492796063423157},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4464259147644043},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4378296136856079},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37198394536972046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24587967991828918},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21628865599632263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11010020971298218},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.09958979487419128},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319951","display_name":"Canada Council for the Arts","ror":"https://ror.org/02kzsfv42"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W50848911","https://openalex.org/W82029613","https://openalex.org/W123301997","https://openalex.org/W176654133","https://openalex.org/W187979670","https://openalex.org/W817717098","https://openalex.org/W823631860","https://openalex.org/W1496931840","https://openalex.org/W1510737763","https://openalex.org/W1541504112","https://openalex.org/W1541986262","https://openalex.org/W1597199547","https://openalex.org/W1600722501","https://openalex.org/W1617902411","https://openalex.org/W1775913388","https://openalex.org/W1830756598","https://openalex.org/W1998446618","https://openalex.org/W2021290977","https://openalex.org/W2038678505","https://openalex.org/W2056024012","https://openalex.org/W2080046517","https://openalex.org/W2090680111","https://openalex.org/W2107185949","https://openalex.org/W2109042184","https://openalex.org/W2118788460","https://openalex.org/W2140385030","https://openalex.org/W2147682926","https://openalex.org/W2295300449","https://openalex.org/W2332485976","https://openalex.org/W2980286501","https://openalex.org/W2982303213","https://openalex.org/W4210434492","https://openalex.org/W6681897171"],"related_works":["https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W2561856575","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W1792573625","https://openalex.org/W2359140082","https://openalex.org/W2074132948"],"abstract_inverted_index":{"A":[0,130],"sound":[1,21,31,47,64,84,167],"synthesizer":[2],"can":[3,44,189],"be":[4,26],"defined":[5],"as":[6,184],"a":[7,11,17,30,33,53,70,100,109,121,164,174],"program":[8,38],"that":[9,46],"takes":[10],"few":[12],"input":[13,42,97,159],"parameters":[14,43,98],"and":[15,39,93,120,146,158,193],"returns":[16],"sound.":[18],"The":[19,105],"general":[20],"synthesis":[22],"problem":[23,59],"could":[24],"then":[25],"formulated":[27],"as:":[28],"given":[29,165],"(or":[32],"set":[34,40,95,175],"of":[35,41,49,82,96,111,118,123,153,176],"sounds)":[36],"what":[37],"generate":[45],"(set":[48],"sounds)?":[50],"We":[51,78],"propose":[52],"novel":[54,155],"approach":[55,150],"to":[56,162],"tackle":[57],"this":[58],"in":[60,171],"which":[61],"we":[62,169],"represent":[63],"synthesizers":[65,85,181],"using":[66,86,99],"Pure":[67],"Data":[68],"(Pd),":[69],"graphic":[71],"programming":[72],"language":[73],"for":[74],"digital":[75],"signal":[76],"processing.":[77],"search":[79],"the":[80,94,115,135,141,144,179,187],"space":[81],"possible":[83],"Coevolutionary":[87],"Mixed-typed":[88],"Cartesian":[89],"Genetic":[90,102],"Programming":[91],"(MT-CGP),":[92],"standard":[101],"Algorithm":[103],"(GA).":[104],"proposed":[106],"algorithm":[107],"co-evolves":[108],"population":[110,122],"MT-CGP":[112],"graphs,":[113],"representing":[114,126],"functional":[116,156],"forms":[117,157],"synthesizers,":[119],"GA":[124],"chromosomes,":[125],"their":[127],"inputs":[128],"parameters.":[129],"fitness":[131],"function":[132],"based":[133],"on":[134],"Mel-frequency":[136],"Cepstral":[137],"Coefficients":[138],"(MFCC)":[139],"evaluates":[140],"distance":[142],"between":[143],"target":[145,166],"produced":[147],"sounds.":[148],"Our":[149],"is":[151],"capable":[152],"suggesting":[154],"parameters,":[160],"suitable":[161],"approximate":[163],"(and":[168],"hope":[170],"future":[172],"iterations":[173],"sounds).":[177],"Since":[178],"resulting":[180],"are":[182],"presented":[183],"Pd":[185],"patches,":[186],"user":[188],"experiment,":[190],"interact":[191],"with,":[192],"reuse":[194],"them.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
