{"id":"https://openalex.org/W4372260197","doi":"https://doi.org/10.1109/icassp49357.2023.10096901","title":"JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models","display_name":"JSV-VC: Jointly Trained Speaker Verification and Voice Conversion Models","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260197","doi":"https://doi.org/10.1109/icassp49357.2023.10096901"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5018003761","display_name":"Shogo Seki","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shogo Seki","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001243214","display_name":"Hirokazu Kameoka","orcid":"https://orcid.org/0000-0003-3102-0162"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hirokazu Kameoka","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004248530","display_name":"Kou Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kou Tanaka","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020693766","display_name":"Takuhiro Kaneko","orcid":"https://orcid.org/0009-0000-8016-5144"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuhiro Kaneko","raw_affiliation_strings":["NTT Corporation,NTT Communication Science Laboratories,Japan","NTT Communication Science Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Communication Science Laboratories,Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Communication Science Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018003761"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63018187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9882000088691711,"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":0.9821000099182129,"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/computer-science","display_name":"Computer science","score":0.8034979104995728},{"id":"https://openalex.org/keywords/speaker-verification","display_name":"Speaker verification","score":0.7821345925331116},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6233676671981812},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.5829691886901855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8034979104995728},{"id":"https://openalex.org/C2982762665","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker verification","level":3,"score":0.7821345925331116},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6233676671981812},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.5829691886901855}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W95152782","https://openalex.org/W1509691205","https://openalex.org/W1959608418","https://openalex.org/W2022125261","https://openalex.org/W2105160541","https://openalex.org/W2108501770","https://openalex.org/W2120605154","https://openalex.org/W2123003832","https://openalex.org/W2126143605","https://openalex.org/W2142300631","https://openalex.org/W2156142001","https://openalex.org/W2532494225","https://openalex.org/W2613904329","https://openalex.org/W2804998325","https://openalex.org/W2889061305","https://openalex.org/W2899877258","https://openalex.org/W2937579788","https://openalex.org/W2945478979","https://openalex.org/W2946555236","https://openalex.org/W2962788625","https://openalex.org/W2962793481","https://openalex.org/W2963539064","https://openalex.org/W2963767194","https://openalex.org/W2972544500","https://openalex.org/W2972659941","https://openalex.org/W2972667718","https://openalex.org/W2992384298","https://openalex.org/W3015338123","https://openalex.org/W3034420534","https://openalex.org/W3092028330","https://openalex.org/W3095936335","https://openalex.org/W3100696337","https://openalex.org/W3102628737","https://openalex.org/W3113687514","https://openalex.org/W3118753411","https://openalex.org/W3162512456","https://openalex.org/W3162879338","https://openalex.org/W3163475957","https://openalex.org/W4224916568","https://openalex.org/W4320013936","https://openalex.org/W6603838645","https://openalex.org/W6630475647","https://openalex.org/W6640963894","https://openalex.org/W6675944832","https://openalex.org/W6678506862","https://openalex.org/W6737778391","https://openalex.org/W6745415975","https://openalex.org/W6755930846","https://openalex.org/W6761382815","https://openalex.org/W6762533536","https://openalex.org/W6769767169","https://openalex.org/W6783867762","https://openalex.org/W6784504775","https://openalex.org/W6785185317","https://openalex.org/W6791184523","https://openalex.org/W6791889408","https://openalex.org/W6809902315"],"related_works":["https://openalex.org/W1491159402","https://openalex.org/W66821593","https://openalex.org/W4297807400","https://openalex.org/W4313854686","https://openalex.org/W2249138175","https://openalex.org/W1521299571","https://openalex.org/W3162054169","https://openalex.org/W1813780412","https://openalex.org/W1516392727","https://openalex.org/W2140022733"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,34,43,54,59],"variational":[4],"autoencoder":[5],"(VAE)-based":[6],"method":[7],"for":[8,42,73],"voice":[9],"conversion":[10,79],"(VC)":[11],"on":[12],"arbitrary":[13],"source-target":[14],"speaker":[15,30,35,68,110],"pairs":[16],"without":[17],"parallel":[18],"corpora,":[19],"i.e.,":[20],"non-parallel":[21],"any-to-any":[22,141],"VC.":[23],"One":[24],"typical":[25],"approach":[26],"is":[27,49,99,105,119],"to":[28,52,77,123],"use":[29],"embeddings":[31,69,126],"obtained":[32],"from":[33],"verification":[36],"(SV)":[37],"model":[38,98,118],"as":[39,107],"the":[40,85,108,112,116,130],"condition":[41],"VC":[44,63,74,91,97,131,142],"model.":[45,132],"However,":[46],"converted":[47,103],"speech":[48,104],"not":[50,71],"guaranteed":[51],"reflect":[53],"target":[55,109],"speaker\u2019s":[56],"characteristics":[57],"in":[58,111,121],"naive":[60],"combination":[61],"of":[62],"and":[64,92,128,145],"SV":[65,93,113,117],"models.":[66],"Moreover,":[67],"are":[70],"designed":[72],"problems,":[75],"leading":[76],"suboptimal":[78],"performance.":[80],"To":[81],"address":[82],"these":[83],"issues,":[84],"proposed":[86],"method,":[87],"JSV-VC,":[88],"trains":[89],"both":[90],"models":[94],"jointly.":[95],"The":[96,133],"trained":[100,120],"so":[101],"that":[102,137],"verified":[106],"model,":[114],"while":[115],"order":[122],"output":[124],"consistent":[125],"before":[127],"after":[129],"experimental":[134],"evaluation":[135],"reveals":[136],"JSV-VC":[138],"outperforms":[139],"conventional":[140],"methods":[143],"quantitatively":[144],"qualitatively.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}