{"id":"https://openalex.org/W2912183406","doi":"https://doi.org/10.1109/icassp.2019.8683519","title":"Unsupervised Polyglot Text-to-speech","display_name":"Unsupervised Polyglot Text-to-speech","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2912183406","doi":"https://doi.org/10.1109/icassp.2019.8683519","mag":"2912183406"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1902.02263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083811924","display_name":"Eliya Nachmani","orcid":"https://orcid.org/0000-0003-4220-5672"},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Eliya Nachmani","raw_affiliation_strings":["Facebook AI Research","Facebook AI Research#TAB#"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]},{"raw_affiliation_string":"Facebook AI Research#TAB#","institution_ids":["https://openalex.org/I2252078561"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078102229","display_name":"Lior Wolf","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Lior Wolf","raw_affiliation_strings":["Facebook AI Research","Facebook AI Research#TAB#"],"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I2252078561"]},{"raw_affiliation_string":"Facebook AI Research#TAB#","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083811924"],"corresponding_institution_ids":["https://openalex.org/I2252078561"],"apc_list":null,"apc_paid":null,"fwci":0.289,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64422832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"7055","last_page":"7059"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9965999722480774,"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/polyglot","display_name":"Polyglot","score":0.9962626695632935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7870342135429382},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6093500256538391},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5862820744514465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.520453691482544},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5115926861763},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4980478286743164},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4963722825050354},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4876950681209564},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09228962659835815}],"concepts":[{"id":"https://openalex.org/C2780239667","wikidata":"https://www.wikidata.org/wiki/Q2102850","display_name":"Polyglot","level":2,"score":0.9962626695632935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7870342135429382},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6093500256538391},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5862820744514465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520453691482544},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5115926861763},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4980478286743164},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4963722825050354},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4876950681209564},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09228962659835815},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icassp.2019.8683519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1902.02263","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.02263","pdf_url":"https://arxiv.org/pdf/1902.02263","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2912183406","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1902.02263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1902.02263","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1902.02263","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1902.02263","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1902.02263","pdf_url":"https://arxiv.org/pdf/1902.02263","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912183406.pdf","grobid_xml":"https://content.openalex.org/works/W2912183406.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W88751538","https://openalex.org/W1026270304","https://openalex.org/W2036740752","https://openalex.org/W2068512280","https://openalex.org/W2108153551","https://openalex.org/W2139751012","https://openalex.org/W2401698713","https://openalex.org/W2471520273","https://openalex.org/W2494654097","https://openalex.org/W2527729766","https://openalex.org/W2769810959","https://openalex.org/W2794235490","https://openalex.org/W2901997113","https://openalex.org/W2949382160","https://openalex.org/W2962739369","https://openalex.org/W2963192573","https://openalex.org/W2963403868","https://openalex.org/W2963534259","https://openalex.org/W2963609956","https://openalex.org/W2963782041","https://openalex.org/W2964243274","https://openalex.org/W2964265128","https://openalex.org/W6626481562","https://openalex.org/W6737778391","https://openalex.org/W6739901393","https://openalex.org/W6745569068","https://openalex.org/W6746700228","https://openalex.org/W6748573829","https://openalex.org/W6748588790","https://openalex.org/W6756197946","https://openalex.org/W6936113694","https://openalex.org/W7075696416"],"related_works":["https://openalex.org/W2963964591","https://openalex.org/W2977798327","https://openalex.org/W3033831118","https://openalex.org/W3105242324","https://openalex.org/W2978460235","https://openalex.org/W3095012670","https://openalex.org/W3162185027","https://openalex.org/W2891616026","https://openalex.org/W3008613924","https://openalex.org/W3015325583","https://openalex.org/W2972805867","https://openalex.org/W2964309797","https://openalex.org/W2920970185","https://openalex.org/W2973227840","https://openalex.org/W2794235490","https://openalex.org/W2743923735","https://openalex.org/W3113594615","https://openalex.org/W3011415440","https://openalex.org/W3016224472","https://openalex.org/W2796156786"],"abstract_inverted_index":{"We":[0,91],"present":[1],"a":[2,22,28,31,71,102],"TTS":[3],"neural":[4,96],"network":[5,17,73,97],"that":[6,74,83],"is":[7,18,41,67],"able":[8,19],"to":[9,20],"produce":[10],"speech":[11],"in":[12,30,56,88],"multiple":[13,57,76,89],"languages.":[14,39,90],"The":[15,65],"proposed":[16,94],"transfer":[21],"voice,":[23],"which":[24],"was":[25],"presented":[26],"as":[27],"sample":[29],"source":[32],"language,":[33],"into":[34],"one":[35],"of":[36,52,104],"several":[37],"target":[38],"Training":[40],"done":[42],"without":[43,50],"using":[44],"matching":[45],"or":[46],"parallel":[47],"data,":[48],"i.e.,":[49],"samples":[51],"the":[53,60,85,93],"same":[54],"speaker":[55],"languages,":[58],"making":[59],"method":[61],"much":[62],"more":[63,105],"applicable.":[64],"conversion":[66,112],"based":[68],"on":[69],"learning":[70],"polyglot":[72,95],"has":[75],"per-language":[77],"sub-networks":[78],"and":[79,109],"adding":[80],"loss":[81],"terms":[82],"preserve":[84],"speaker's":[86],"identity":[87],"evaluate":[92],"for":[98],"three":[99],"languages":[100],"with":[101],"total":[103],"than":[106],"400":[107],"speakers":[108],"demonstrate":[110],"convincing":[111],"capabilities.":[113]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
