Automatic detection of unnatural word-level segments in unit-selection speech synthesis

By William Yang Wang, Kallirroi Georgila. 2011

15 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

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

In Artificial Intelligence

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

Citations in the corpus

• TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese (2020, background): “In addition, Hidden Markov Model (HMM) based synthesis is still a topic of research [9, 10, 11], as well as a variety of Unit Selection Models [12, 13].”
• End-To-End Speech Synthesis Applied to Brazilian Portuguese (2020, methodology): “In addition, Hidden Markov Models (HMM) based synthesis are still under investigation [Tokuda et al., 2000], as well as a variety of Unit Selection Models [Wang and Georgila, 2011].”