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- Title
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese.
- Authors
Casanova, Edresson; Junior, Arnaldo Candido; Shulby, Christopher; Oliveira, Frederico Santos de; Teixeira, João Paulo; Ponti, Moacir Antonelli; Aluísio, Sandra
- Abstract
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.
- Subjects
SPEECH synthesis; PORTUGUESE language; HUMAN-computer interaction; DEEP learning; PERSONAL assistants
- Publication
Language Resources & Evaluation, 2022, Vol 56, Issue 3, p1043
- ISSN
1574-020X
- Publication type
Article
- DOI
10.1007/s10579-021-09570-4