TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby, Frederico Santos de Oliveira, Joao Paulo Teixeira, Moacir Antonelli Ponti1, Sandra Maria Aluisio
2022
Dataset, Generation, Brazilian Portuguese
This work consists of creating publicly available resources for Brazilian Portuguese in the form of a novel dataset along with deep learning models for end-to-end speech synthesis. Such dataset has 10.5 hours from a single speaker, from which a Tacotron 2 model with the RTISI-LA vocoder presented the best performance, achieving a 4.03 MOS value.