Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204116061> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W3204116061 abstract "Singing voice synthesis (SVS) is a task that aims to generate audio signals according to musical scores and lyrics. With its multifaceted nature concerning music and language, producing singing voices indistinguishable from that of human singers has always remained an unfulfilled pursuit. Nonetheless, the advancements of deep learning techniques have brought about a substantial leap in the quality and naturalness of synthesized singing voice. This paper aims to review some of the state-of-the-art deep learning-driven SVS systems. We intend to summarize their deployed model architectures and identify the strengths and limitations for each of the introduced systems. Thereby, we picture the recent advancement trajectory of this field and conclude the challenges left to be resolved both in commercial applications and academic research." @default.
- W3204116061 created "2021-10-11" @default.
- W3204116061 creator A5019455184 @default.
- W3204116061 creator A5022703708 @default.
- W3204116061 creator A5025897761 @default.
- W3204116061 creator A5036605364 @default.
- W3204116061 creator A5047834625 @default.
- W3204116061 creator A5084266744 @default.
- W3204116061 date "2021-11-01" @default.
- W3204116061 modified "2023-09-26" @default.
- W3204116061 title "A Survey on Recent Deep Learning-driven Singing Voice Synthesis Systems" @default.
- W3204116061 cites W2102870814 @default.
- W3204116061 cites W2107860279 @default.
- W3204116061 cites W2154920538 @default.
- W3204116061 cites W2471520273 @default.
- W3204116061 cites W2515336442 @default.
- W3204116061 cites W2778460379 @default.
- W3204116061 cites W2889244839 @default.
- W3204116061 cites W2940405045 @default.
- W3204116061 cites W2973046048 @default.
- W3204116061 cites W29794711 @default.
- W3204116061 cites W3015338123 @default.
- W3204116061 cites W3097514409 @default.
- W3204116061 cites W3133525064 @default.
- W3204116061 cites W3163031268 @default.
- W3204116061 cites W3190244907 @default.
- W3204116061 cites W3198020407 @default.
- W3204116061 doi "https://doi.org/10.1109/aivr52153.2021.00067" @default.
- W3204116061 hasPublicationYear "2021" @default.
- W3204116061 type Work @default.
- W3204116061 sameAs 3204116061 @default.
- W3204116061 citedByCount "3" @default.
- W3204116061 countsByYear W32041160612022 @default.
- W3204116061 countsByYear W32041160612023 @default.
- W3204116061 crossrefType "proceedings-article" @default.
- W3204116061 hasAuthorship W3204116061A5019455184 @default.
- W3204116061 hasAuthorship W3204116061A5022703708 @default.
- W3204116061 hasAuthorship W3204116061A5025897761 @default.
- W3204116061 hasAuthorship W3204116061A5036605364 @default.
- W3204116061 hasAuthorship W3204116061A5047834625 @default.
- W3204116061 hasAuthorship W3204116061A5084266744 @default.
- W3204116061 hasBestOaLocation W32041160612 @default.
- W3204116061 hasConcept C108583219 @default.
- W3204116061 hasConcept C111472728 @default.
- W3204116061 hasConcept C121332964 @default.
- W3204116061 hasConcept C127413603 @default.
- W3204116061 hasConcept C134537474 @default.
- W3204116061 hasConcept C138885662 @default.
- W3204116061 hasConcept C14999030 @default.
- W3204116061 hasConcept C154945302 @default.
- W3204116061 hasConcept C201995342 @default.
- W3204116061 hasConcept C202444582 @default.
- W3204116061 hasConcept C24890656 @default.
- W3204116061 hasConcept C2776436406 @default.
- W3204116061 hasConcept C2779530757 @default.
- W3204116061 hasConcept C2780451532 @default.
- W3204116061 hasConcept C28490314 @default.
- W3204116061 hasConcept C33923547 @default.
- W3204116061 hasConcept C41008148 @default.
- W3204116061 hasConcept C44819458 @default.
- W3204116061 hasConcept C62520636 @default.
- W3204116061 hasConcept C9652623 @default.
- W3204116061 hasConceptScore W3204116061C108583219 @default.
- W3204116061 hasConceptScore W3204116061C111472728 @default.
- W3204116061 hasConceptScore W3204116061C121332964 @default.
- W3204116061 hasConceptScore W3204116061C127413603 @default.
- W3204116061 hasConceptScore W3204116061C134537474 @default.
- W3204116061 hasConceptScore W3204116061C138885662 @default.
- W3204116061 hasConceptScore W3204116061C14999030 @default.
- W3204116061 hasConceptScore W3204116061C154945302 @default.
- W3204116061 hasConceptScore W3204116061C201995342 @default.
- W3204116061 hasConceptScore W3204116061C202444582 @default.
- W3204116061 hasConceptScore W3204116061C24890656 @default.
- W3204116061 hasConceptScore W3204116061C2776436406 @default.
- W3204116061 hasConceptScore W3204116061C2779530757 @default.
- W3204116061 hasConceptScore W3204116061C2780451532 @default.
- W3204116061 hasConceptScore W3204116061C28490314 @default.
- W3204116061 hasConceptScore W3204116061C33923547 @default.
- W3204116061 hasConceptScore W3204116061C41008148 @default.
- W3204116061 hasConceptScore W3204116061C44819458 @default.
- W3204116061 hasConceptScore W3204116061C62520636 @default.
- W3204116061 hasConceptScore W3204116061C9652623 @default.
- W3204116061 hasLocation W32041160611 @default.
- W3204116061 hasLocation W32041160612 @default.
- W3204116061 hasOpenAccess W3204116061 @default.
- W3204116061 hasPrimaryLocation W32041160611 @default.
- W3204116061 hasRelatedWork W2028766658 @default.
- W3204116061 hasRelatedWork W2047841731 @default.
- W3204116061 hasRelatedWork W2109622212 @default.
- W3204116061 hasRelatedWork W2290770594 @default.
- W3204116061 hasRelatedWork W2370585058 @default.
- W3204116061 hasRelatedWork W2395416690 @default.
- W3204116061 hasRelatedWork W2547993968 @default.
- W3204116061 hasRelatedWork W3204116061 @default.
- W3204116061 hasRelatedWork W3207038517 @default.
- W3204116061 hasRelatedWork W4297453990 @default.
- W3204116061 isParatext "false" @default.
- W3204116061 isRetracted "false" @default.
- W3204116061 magId "3204116061" @default.
- W3204116061 workType "article" @default.