Data-driven generation of F0 contours using a superpositional model

@article{Sakurai2003DatadrivenGO,
  title={Data-driven generation of F0 contours using a superpositional model},
  author={Atsuhiro Sakurai and Keikichi Hirose and Nobuaki Minematsu},
  journal={Speech Communication},
  year={2003},
  volume={40},
  pages={535-549}
}
This paper introduces a novel model-constrained, data-driven method to generate fundamental frequency contours for Japanese text-to-speech synthesis. In the training phase, the relationship between linguistic features and the parameters of a command–response F0 contour generation model is learned by a prediction module, which is represented by either a neural network or a set of binary regression trees. Input features consist of linguistic information related to accentual phrases that can be… CONTINUE READING
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