TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese (2022)
- Authors:
- USP affiliated authors: PONTI, MOACIR ANTONELLI - ICMC ; ALUISIO, SANDRA MARIA - ICMC ; CASANOVA, EDRESSON - ICMC
- Unidade: ICMC
- DOI: 10.1007/s10579-021-09570-4
- Subjects: CORPUS; RECONHECIMENTO DE VOZ; APRENDIZADO COMPUTACIONAL; INTERFACE HOMEM-COMPUTADOR; PORTUGUÊS DO BRASIL
- Keywords: Speech synthesis; TTS; Corpora
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Language Resources and Evaluation
- ISSN: 1574-020X
- Volume/Número/Paginação/Ano: v. 56, n. 3, p. 1043-1055, Sep. 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
CASANOVA, Edresson et al. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, v. 56, n. 3, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09570-4. Acesso em: 28 abr. 2025. -
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Teixeira, J. P., Ponti, M. A., & Aluísio, S. M. (2022). TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, 56( 3), Se 2022. doi:10.1007/s10579-021-09570-4 -
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2025 abr. 28 ] Available from: https://doi.org/10.1007/s10579-021-09570-4 -
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2025 abr. 28 ] Available from: https://doi.org/10.1007/s10579-021-09570-4 - SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model
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- Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021
- Evaluating semantic similarity methods to build semantic predictability norms of reading data
- Brazilian portuguese speech recognition using Wav2vec 2.0
Informações sobre o DOI: 10.1007/s10579-021-09570-4 (Fonte: oaDOI API)
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