Acoustic Modeling in Statistical Parametric Speech Synthesis - From HMM to LSTM-RNN

@inproceedings{Zen2015AcousticMI,
  title={Acoustic Modeling in Statistical Parametric Speech Synthesis - From HMM to LSTM-RNN},
  author={Heiga Zen},
  year={2015}
}
Statistical parametric speech synthesis (SPSS) combines an acoustic model and a vocoder to render speech given a text. Typically decision tree-clustered context-dependent hidden Markov models (HMMs) are employed as the acoustic model, which represent a relationship between linguistic and acoustic features. Recently, artificial neural network-based acoustic models, such as deep neural networks, mixture density networks, and long short-term memory recurrent neural networks (LSTM-RNNs), showed… CONTINUE READING

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