SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model (2021)
Fonte: Proceedings. Nome do evento: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS, RECONHECIMENTO DE TEXTO, RECONHECIMENTO DE VOZ
ABNT
CASANOVA, Edresson et al. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. 2021, Anais.. Baixas: ISCA, 2021. Disponível em: https://doi.org/10.21437/Interspeech.2021-1774. Acesso em: 23 nov. 2025.APA
Casanova, E., Shulby, C. D., Gölge, E., Müller, N. M., Oliveira, F. S. de, Candido Junior, A., et al. (2021). SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2021-1774NLM
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774Vancouver
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2025 nov. 23 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
