Harmonics Plus Noise Model Based Vocoder for Statistical Parametric Speech Synthesis

@article{Erro2014HarmonicsPN,
  title={Harmonics Plus Noise Model Based Vocoder for Statistical Parametric Speech Synthesis},
  author={Daniel Erro and I{\~n}aki Sainz and Eva Navas and Inma Hern{\'a}ez},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2014},
  volume={8},
  pages={184-194}
}
This article explores the potential of the harmonics plus noise model of speech in the development of a high-quality vocoder applicable in statistical frameworks, particularly in modern speech synthesizers. It presents an extensive explanation of all the different alternatives considered during the design of the HNM-based vocoder, together with the corresponding objective and subjective experiments, and a careful description of its implementation details. Three aspects of the analysis have been… CONTINUE READING
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