ISCA Archive SpeechProsody 2008
ISCA Archive SpeechProsody 2008

Modeling intonation variability with HMM for speech synthesis

Cédric Boidin, Olivier Boeffard

This paper proposes a statistical intonation model designed to deal with intrinsic variability in speech. In combining the advantages of two well-known statistical algorithms, CART and HMM, the proposed model takes advantage of available linguistic information and successfully tackles the issue of missing para-linguistic information. Promising results of the training process are shown and analyzed. 1. Introduction


Cite as: Boidin, C., Boeffard, O. (2008) Modeling intonation variability with HMM for speech synthesis. Proc. Speech Prosody 2008, 115-118

@inproceedings{boidin08_speechprosody,
  author={Cédric Boidin and Olivier Boeffard},
  title={{Modeling intonation variability with HMM for speech synthesis}},
  year=2008,
  booktitle={Proc. Speech Prosody 2008},
  pages={115--118}
}