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Advisor(s)
Abstract(s)
Speech provides a natural way for human–computer interaction. In particular,
speech synthesis systems are popular in different applications, such as
personal assistants, GPS applications, screen readers and accessibility tools. However,
not all languages are on the same level when in terms of resources and systems
for speech synthesis. 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 h 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. The obtained results are comparable to related
works covering English language and the state-of-the-art in European Portuguese.
Description
Keywords
Corpora Speech synthesis TTS Portuguese
Pedagogical Context
Citation
Casanova, Edresson; Junior, Arnaldo Candido; Shulby, Christopher; Oliveira, Frederico Santos de; Teixeira, João Paulo; Ponti, Moacir Antonelli; Aluísio, Sandra (2022). IN PRESS - TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese. Language Resources and Evaluation.