Evaluation of Deep Learning Approaches to Text-to-Speech Systems for European Portuguese

By Sebastião Quintas, Isabel Trancoso. 2020

4 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Edresson Casanova
2. Christopher Dane Shulby
3. Arnaldo Cândido Júnior
4. Frederico Santos de Oliveira
5. Arnaldo Candido
6. Moacir Antonelli Ponti
7. Sandra Maria Aluísio
8. João Paulo Ramos Teixeira

Citations in the corpus

• TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese (2020, methodology): “These values are compatible since in the work of [39] the authors used the neural vocoder WaveNet that generates speech with a higher quality.”
• End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020, background): “Quintas and Trancoso [2020] reached 3.82 ±0.69 MOS when training Tacotron 2 in their best experiment, based on female voices for European Portuguese using a closed dataset, with approximately 14 hours.”