TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

Author:

Casanova EdressonORCID,Junior Arnaldo CandidoORCID,Shulby ChristopherORCID,Oliveira Frederico Santos deORCID,Teixeira João PauloORCID,Ponti Moacir AntonelliORCID,Aluísio SandraORCID

Funder

Coordination for the Improvement of Higher Education Personnel

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Linguistics and Language,Education,Language and Linguistics

Reference53 articles.

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2. Arik, S. O., Chrzanowski, M., Coates, A., Diamos, G., Gibiansky, A., Kang, Y., Li, X., Miller, J., Raiman, J., & Sengupta, S., & Ng, A. (2017). Deep voice: Real-time neural text-to-speech. arXiv preprint. http://arxiv.org/abs/170207825

3. Arık, S. O., Diamos, G., Gibiansky, A., Miller, J., Peng, K., Ping, W., Raiman, J., & Zhou, Y. (2017). Deep voice 2: Multi-speaker neural text-to-speech. arXiv preprint. http://arxiv.org/abs/170508947

4. Aroon, A., & Dhonde, S. (2015). Statistical parametric speech synthesis: A review. In 2015 IEEE 9th international conference on intelligent systems and control (ISCO) (pp. 1–5). IEEE.

5. Ba, J. L., Kiros, J. R., & Hinton, G. E. (2016). Layer normalization. arXiv preprint. http://arxiv.org/abs/160706450

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