{"id":"https://openalex.org/W3012437242","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023141","title":"Novel Adaptive Generative Adversarial Network for Voice Conversion","display_name":"Novel Adaptive Generative Adversarial Network for Voice Conversion","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012437242","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023141","mag":"3012437242"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5018555559","display_name":"Maitreya Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maitreya Patel","raw_affiliation_strings":["Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063582658","display_name":"Mihir Parmar","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihir Parmar","raw_affiliation_strings":["Arizona State University, Tempe, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062542902","display_name":"Savan Doshi","orcid":null},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Savan Doshi","raw_affiliation_strings":["Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091143209","display_name":"Nirmesh J. Shah","orcid":"https://orcid.org/0000-0002-7294-6757"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nirmesh J. Shah","raw_affiliation_strings":["Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Speech Research Lab, Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3121,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86534023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1273","last_page":"1281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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/T11309","display_name":"Music and Audio Processing","score":0.9980999827384949,"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/naturalness","display_name":"Naturalness","score":0.8493406176567078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8277319073677063},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6753666400909424},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6161180734634399},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.609478771686554},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5531597137451172},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5260123014450073},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5140834450721741},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.50972980260849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4517783224582672},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4355788826942444},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07306960225105286}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.8493406176567078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277319073677063},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6753666400909424},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6161180734634399},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.609478771686554},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5531597137451172},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5260123014450073},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5140834450721741},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.50972980260849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4517783224582672},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4355788826942444},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07306960225105286},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023141","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W49412823","https://openalex.org/W142801778","https://openalex.org/W624848986","https://openalex.org/W1509691205","https://openalex.org/W1959608418","https://openalex.org/W1977362459","https://openalex.org/W1999016813","https://openalex.org/W2057609679","https://openalex.org/W2086796102","https://openalex.org/W2115755118","https://openalex.org/W2120605154","https://openalex.org/W2127520494","https://openalex.org/W2145130307","https://openalex.org/W2153057929","https://openalex.org/W2156142001","https://openalex.org/W2161476805","https://openalex.org/W2187089797","https://openalex.org/W2295406225","https://openalex.org/W2515020857","https://openalex.org/W2518312472","https://openalex.org/W2526493173","https://openalex.org/W2532494225","https://openalex.org/W2576309025","https://openalex.org/W2603777577","https://openalex.org/W2651834199","https://openalex.org/W2739735615","https://openalex.org/W2746457594","https://openalex.org/W2747744257","https://openalex.org/W2750335806","https://openalex.org/W2765628712","https://openalex.org/W2773164424","https://openalex.org/W2774848319","https://openalex.org/W2796495654","https://openalex.org/W2804998325","https://openalex.org/W2888796252","https://openalex.org/W2888980597","https://openalex.org/W2889042353","https://openalex.org/W2889048414","https://openalex.org/W2921343178","https://openalex.org/W2938537202","https://openalex.org/W2944450525","https://openalex.org/W2963035245","https://openalex.org/W2963539064","https://openalex.org/W2963971656","https://openalex.org/W2987496713","https://openalex.org/W4320013936","https://openalex.org/W6605781699","https://openalex.org/W6640963894","https://openalex.org/W6697307144","https://openalex.org/W6742802039","https://openalex.org/W6746801104","https://openalex.org/W6746868779"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W1554502231","https://openalex.org/W172797710","https://openalex.org/W2945105049","https://openalex.org/W4387098302","https://openalex.org/W2626699140","https://openalex.org/W3005996785","https://openalex.org/W4386984417","https://openalex.org/W2476099471","https://openalex.org/W3214668706"],"abstract_inverted_index":{"Voice":[0],"Conversion":[1],"(VC)":[2],"converts":[3],"the":[4,12,21,79,88,92,96,103,125,141,144,159,193,202],"speaking":[5,13],"style":[6,14,80],"of":[7,15,24,98,106,143,176,209,222,241],"a":[8,16,25,58,111],"source":[9],"speaker":[10,18,83,227,242],"to":[11,84,109,128,201],"target":[17],"by":[19],"preserving":[20,87],"linguistic":[22,89],"content":[23,90],"given":[26],"speech":[27],"utterance.":[28],"Recently,":[29],"Cycle":[30],"Consistent":[31],"Adversarial":[32,62,114],"Network":[33,63,115],"(CycleGAN),":[34],"and":[35,51,74,124,152,187,204,226,233,244],"its":[36,107],"variants":[37],"have":[38],"become":[39],"popular":[40],"for":[41,65,77,132,180],"non-parallel":[42,66],"VC":[43,67,134,162],"tasks.":[44],"However,":[45],"CycleGAN":[46,148,179,238],"uses":[47],"two":[48,75],"different":[49],"generators":[50],"discriminators.":[52],"In":[53,136,166],"this":[54,101,130,137],"paper,":[55,138],"we":[56,139,168],"introduce":[57,110],"novel":[59],"Adaptive":[60],"Generative":[61,113],"(AdaGAN)":[64],"task,":[68],"which":[69,173],"effectively":[70],"requires":[71],"single":[72],"generator,":[73],"discriminators":[76],"transferring":[78],"from":[81],"one":[82],"another":[85],"while":[86],"in":[91,120,207,220,239],"converted":[93],"voices.":[94],"To":[95],"best":[97],"authors'":[99],"knowledge,":[100],"is":[102],"first":[104,126],"study":[105],"kind":[108],"new":[112],"(GAN)-based":[116],"architecture":[117,131],"(i.e.,":[118],"AdaGAN)":[119],"machine":[121],"learning":[122],"literature,":[123],"attempt":[127],"apply":[129],"nonparallel":[133],"task.":[135],"compared":[140],"results":[142,197],"AdaGAN":[145,177,194,217,229],"w.r.t.":[146],"state-of-the-art":[147],"architecture.":[149],"Detailed":[150],"subjective":[151,210,213],"objective":[153,196],"tests":[154],"are":[155,199,205],"carried":[156],"out":[157],"on":[158],"publicly":[160],"available":[161],"Challenge":[163],"2018":[164],"corpus.":[165],"addition,":[167],"perform":[169],"three":[170],"statistical":[171],"analysis":[172],"show":[174],"effectiveness":[175],"over":[178,237],"parallel-data":[181],"free":[182],"one-to-one":[183],"VC.":[184],"For":[185],"inter-gender":[186],"intra-gender":[188],"VC,":[189],"We":[190],"observe":[191],"that":[192,198,216],"yield":[195],"comparable":[200],"CycleGAN,":[203],"superior":[206],"terms":[208,221,240],"evaluation.":[211],"A":[212],"evaluation":[214],"shows":[215],"outperforms":[218],"CycleGAN-VC":[219],"naturalness,":[223],"sound":[224,245],"quality,":[225,246],"similarity.":[228],"was":[230],"preferred":[231],"58.33%":[232],"41%":[234],"time":[235],"more":[236],"similarity":[243],"respectively.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}