/msc_thesis

my MSc Thesis: Deep Learning Applied to Speech Synthesis

MSc Thesis: Deep Learning Applied to Speech Synthesis

MSc thesis on applying Deep Learning to speech synthesis, presented in Telecom Barcelona on July 2016.

Contents:

  • State of the art in Statistical Parametric Speech Synthesis
  • Intro to Deep Learning
  • Two stage TTS with RNN-LSTM and post-filtering
  • Multiple Output Acoustic Mapping
    • Multiple speakers acoustic shared representation
    • Speaker adaptation
    • Speaker interpolation

Reference

Please cite this work if it is useful for your research:

@mastersthesis{pascual2016deep,
  title={Deep learning applied to speech synthesis},
  author={Pascual de la Puente, Santiago},
  year={2016},
  school={Universitat Polit{\`e}cnica de Catalunya}
}

Author:

Santiago Pascual (@santty128)