Improving phone duration modelling using support vector regression fusion

@article{Lazaridis2011ImprovingPD,
  title={Improving phone duration modelling using support vector regression fusion},
  author={Alexandros Lazaridis and Iosif Mporas and Todor Ganchev and George K. Kokkinakis and Nikos Fakotakis},
  journal={Speech Communication},
  year={2011},
  volume={53},
  pages={85-97}
}
In the present work, we propose a scheme for the fusion of different phone duration models, operating in parallel. Specifically, the predictions from a group of dissimilar and independent to each other individual duration models are fed to a machine learning algorithm, which reconciles and fuses the outputs of the individual models, yielding more precise phone duration predictions. The performance of the individual duration models and of the proposed fusion scheme is evaluated on the American… CONTINUE READING

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The development of phone duration model in speech synthesis in the Serbian language

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