Matches in SemOpenAlex for { <https://semopenalex.org/work/W3082130377> ?p ?o ?g. }
- W3082130377 abstract "The voice conversion challenge is a bi-annual scientific event held to compare and understand different voice conversion (VC) systems built on a common dataset. In 2020, we organized the third edition of the challenge and constructed and distributed a new database for two tasks, intra-lingual semi-parallel and cross-lingual VC. After a two-month challenge period, we received 33 submissions, including 3 baselines built on the database. From the results of crowd-sourced listening tests, we observed that VC methods have progressed rapidly thanks to advanced deep learning methods. In particular, speaker similarity scores of several systems turned out to be as high as target speakers in the intra-lingual semi-parallel VC task. However, we confirmed that none of them have achieved human-level naturalness yet for the same task. The cross-lingual conversion task is, as expected, a more difficult task, and the overall naturalness and similarity scores were lower than those for the intra-lingual conversion task. However, we observed encouraging results, and the MOS scores of the best systems were higher than 4.0. We also show a few additional analysis results to aid in understanding cross-lingual VC better." @default.
- W3082130377 created "2020-09-08" @default.
- W3082130377 creator A5000377034 @default.
- W3082130377 creator A5005782129 @default.
- W3082130377 creator A5007639385 @default.
- W3082130377 creator A5029637694 @default.
- W3082130377 creator A5043168931 @default.
- W3082130377 creator A5059767940 @default.
- W3082130377 creator A5071510961 @default.
- W3082130377 creator A5078330211 @default.
- W3082130377 date "2020-10-30" @default.
- W3082130377 modified "2023-09-23" @default.
- W3082130377 title "Voice Conversion Challenge 2020 –- Intra-lingual semi-parallel and cross-lingual voice conversion –-" @default.
- W3082130377 cites W1572989473 @default.
- W3082130377 cites W1590808459 @default.
- W3082130377 cites W1599112982 @default.
- W3082130377 cites W1963637322 @default.
- W3082130377 cites W2017742648 @default.
- W3082130377 cites W2056852181 @default.
- W3082130377 cites W2120847449 @default.
- W3082130377 cites W2142300631 @default.
- W3082130377 cites W2150769028 @default.
- W3082130377 cites W2152573073 @default.
- W3082130377 cites W2161476805 @default.
- W3082130377 cites W2161727827 @default.
- W3082130377 cites W2471520273 @default.
- W3082130377 cites W2515028311 @default.
- W3082130377 cites W2518172956 @default.
- W3082130377 cites W2587284713 @default.
- W3082130377 cites W2608207374 @default.
- W3082130377 cites W2608338293 @default.
- W3082130377 cites W2788851830 @default.
- W3082130377 cites W2794725088 @default.
- W3082130377 cites W2806000759 @default.
- W3082130377 cites W2889329491 @default.
- W3082130377 cites W2890964092 @default.
- W3082130377 cites W2902070858 @default.
- W3082130377 cites W2903739847 @default.
- W3082130377 cites W2928664166 @default.
- W3082130377 cites W2937343983 @default.
- W3082130377 cites W2938583109 @default.
- W3082130377 cites W2945478979 @default.
- W3082130377 cites W2946809691 @default.
- W3082130377 cites W2949382160 @default.
- W3082130377 cites W2962793481 @default.
- W3082130377 cites W2963035245 @default.
- W3082130377 cites W2963091184 @default.
- W3082130377 cites W2963300588 @default.
- W3082130377 cites W2963403868 @default.
- W3082130377 cites W2963539064 @default.
- W3082130377 cites W2963799213 @default.
- W3082130377 cites W2970006822 @default.
- W3082130377 cites W2972544500 @default.
- W3082130377 cites W2990440871 @default.
- W3082130377 cites W2994715919 @default.
- W3082130377 cites W2995124259 @default.
- W3082130377 cites W3015338123 @default.
- W3082130377 cites W3016160783 @default.
- W3082130377 cites W3020975377 @default.
- W3082130377 cites W3027343259 @default.
- W3082130377 cites W3047769339 @default.
- W3082130377 doi "https://doi.org/10.21437/vcc_bc.2020-14" @default.
- W3082130377 hasPublicationYear "2020" @default.
- W3082130377 type Work @default.
- W3082130377 sameAs 3082130377 @default.
- W3082130377 citedByCount "49" @default.
- W3082130377 countsByYear W30821303772020 @default.
- W3082130377 countsByYear W30821303772021 @default.
- W3082130377 countsByYear W30821303772022 @default.
- W3082130377 countsByYear W30821303772023 @default.
- W3082130377 crossrefType "proceedings-article" @default.
- W3082130377 hasAuthorship W3082130377A5000377034 @default.
- W3082130377 hasAuthorship W3082130377A5005782129 @default.
- W3082130377 hasAuthorship W3082130377A5007639385 @default.
- W3082130377 hasAuthorship W3082130377A5029637694 @default.
- W3082130377 hasAuthorship W3082130377A5043168931 @default.
- W3082130377 hasAuthorship W3082130377A5059767940 @default.
- W3082130377 hasAuthorship W3082130377A5071510961 @default.
- W3082130377 hasAuthorship W3082130377A5078330211 @default.
- W3082130377 hasBestOaLocation W30821303772 @default.
- W3082130377 hasConcept C28490314 @default.
- W3082130377 hasConcept C41008148 @default.
- W3082130377 hasConceptScore W3082130377C28490314 @default.
- W3082130377 hasConceptScore W3082130377C41008148 @default.
- W3082130377 hasLocation W30821303771 @default.
- W3082130377 hasLocation W30821303772 @default.
- W3082130377 hasOpenAccess W3082130377 @default.
- W3082130377 hasPrimaryLocation W30821303771 @default.
- W3082130377 hasRelatedWork W1765329493 @default.
- W3082130377 hasRelatedWork W2312116756 @default.
- W3082130377 hasRelatedWork W2368779261 @default.
- W3082130377 hasRelatedWork W2374918184 @default.
- W3082130377 hasRelatedWork W2778699561 @default.
- W3082130377 hasRelatedWork W2794438528 @default.
- W3082130377 hasRelatedWork W2893763841 @default.
- W3082130377 hasRelatedWork W2995996972 @default.
- W3082130377 hasRelatedWork W3128571556 @default.
- W3082130377 hasRelatedWork W4304891817 @default.
- W3082130377 isParatext "false" @default.
- W3082130377 isRetracted "false" @default.