{"id":"https://openalex.org/W3024443431","doi":"https://doi.org/10.21437/odyssey.2020-31","title":"Many-to-Many Voice Conversion Using Cycle-Consistent Variational Autoencoder with Multiple Decoders","display_name":"Many-to-Many Voice Conversion Using Cycle-Consistent Variational Autoencoder with Multiple Decoders","publication_year":2020,"publication_date":"2020-05-15","ids":{"openalex":"https://openalex.org/W3024443431","doi":"https://doi.org/10.21437/odyssey.2020-31","mag":"3024443431"},"language":"en","primary_location":{"id":"doi:10.21437/odyssey.2020-31","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2020-31","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2020)","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/A5039833822","display_name":"Dongsuk Yook","orcid":"https://orcid.org/0000-0003-2445-2354"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongsuk Yook","raw_affiliation_strings":["Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024273749","display_name":"Seong-Gyun Leem","orcid":"https://orcid.org/0000-0002-1175-1577"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seong-Gyun Leem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073103454","display_name":"Keonnyeong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keonnyeong Lee","raw_affiliation_strings":["Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068783691","display_name":"In-Chul Yoo","orcid":"https://orcid.org/0000-0001-7129-047X"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"In-Chul Yoo","raw_affiliation_strings":["Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Department of Computer Science and Engineering Korea University, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.035,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80308136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.987500011920929,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.987500011920929,"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/T10860","display_name":"Speech and Audio Processing","score":0.9858999848365784,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9768999814987183,"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/autoencoder","display_name":"Autoencoder","score":0.863804817199707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062867641448975},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5448316335678101},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3248487710952759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3198835849761963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14213815331459045}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.863804817199707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062867641448975},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5448316335678101},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3248487710952759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3198835849761963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14213815331459045}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/odyssey.2020-31","is_oa":false,"landing_page_url":"https://doi.org/10.21437/odyssey.2020-31","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Speaker and Language Recognition Workshop (Odyssey 2020)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2182629084","display_name":null,"funder_award_id":"NRF-2017R1E1A1A01078157","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G2365443091","display_name":null,"funder_award_id":"IITP-2018-0-01405","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G266217951","display_name":null,"funder_award_id":"IITP-2018","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G2940085366","display_name":null,"funder_award_id":"NRF-2017R1E1A1A01078157","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G3472980750","display_name":null,"funder_award_id":"IITP-2018-0-01405","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4938204454","display_name":null,"funder_award_id":"IITP-2018-0-01405","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1959608418","https://openalex.org/W2105160541","https://openalex.org/W2120605154","https://openalex.org/W2156142001","https://openalex.org/W2163605009","https://openalex.org/W2293049663","https://openalex.org/W2471520273","https://openalex.org/W2474531669","https://openalex.org/W2519091744","https://openalex.org/W2532494225","https://openalex.org/W2567070169","https://openalex.org/W2739748921","https://openalex.org/W2902070858","https://openalex.org/W2937579788","https://openalex.org/W2946555236","https://openalex.org/W2962793481","https://openalex.org/W2962896155","https://openalex.org/W2963035245","https://openalex.org/W2963799213","https://openalex.org/W2963830550","https://openalex.org/W2972544500","https://openalex.org/W2972667718","https://openalex.org/W2973088224","https://openalex.org/W2997400081","https://openalex.org/W4298580827","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W4220775285"],"abstract_inverted_index":{"One":[0],"of":[1,11,19,51,81,85,134,143],"the":[2,9,12,22,56,67,70,82,86,91,95,118,131,135,144,152],"obstacles":[3],"in":[4],"many-to-many":[5,48,63],"voice":[6,49,64,73,139],"conversion":[7,65,74,98,119,140],"is":[8,34,54,89,100,147],"requirement":[10],"parallel":[13,32,68],"training":[14,45],"data,":[15],"which":[16],"contain":[17],"pairs":[18],"utterances":[20],"with":[21],"same":[23],"linguistic":[24],"content":[25],"spoken":[26],"by":[27],"different":[28],"speakers.Since":[29],"collecting":[30],"such":[31,52],"data":[33,46],"a":[35,109],"highly":[36],"expensive":[37],"task,":[38],"many":[39],"works":[40],"attempted":[41],"to":[42,115,124,128],"use":[43,125],"non-parallel":[44],"for":[47,113],"conversion.One":[50],"approaches":[53],"using":[55,149],"variational":[57],"autoencoder":[58],"(VAE).Though":[59],"it":[60],"can":[61],"handle":[62],"without":[66],"training,":[69],"VAE":[71,92,114,137],"based":[72,138],"methods":[75],"suffer":[76],"from":[77],"low":[78],"sound":[79,132],"qualities":[80,133],"converted":[83],"speech.One":[84],"major":[87],"reasons":[88],"because":[90],"learns":[93],"only":[94],"selfreconstruction":[96],"path.The":[97],"path":[99],"not":[101],"trained":[102],"at":[103],"all.In":[104],"this":[105],"paper,":[106],"we":[107,122],"propose":[108,123],"cycle":[110],"consistency":[111],"loss":[112],"explicitly":[116],"learn":[117],"path.In":[120],"addition,":[121],"multiple":[126],"decoders":[127],"further":[129],"improve":[130],"conventional":[136],"methods.The":[141],"effectiveness":[142],"proposed":[145],"method":[146],"validated":[148],"objective":[150],"and":[151],"subjective":[153],"evaluations.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}