Pronunciation variation generation for spontaneous speech synthesis using state-based voice transformation

@article{Lee2010PronunciationVG,
  title={Pronunciation variation generation for spontaneous speech synthesis using state-based voice transformation},
  author={Chung-Han Lee and Chung-Hsien Wu and Jun-Cheng Guo},
  journal={2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2010},
  pages={4826-4829}
}
This study presents an approach to Hidden Markov Models (HMM)-based spontaneous speech synthesis with pronunciation variation for better spontaneity. Pronunciation variation generally occurs in spontaneous speech and plays an important role in expressing the spontaneity. In this study, a state-based transformation function is adopted to model the relation between read speech and the corresponding spontaneous speech with pronunciation variations. The transformation function is then used to… CONTINUE READING
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