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Recurrent Neural Network Postfilters for Statistical Parametric Speech Synthesis
In the last two years, there have been numerous papers that have looked into using Deep Neural Networks to replace the acoustic model in traditional statistical parametric speech synthesis.
A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis
Mel Cepstral coefficients were never intended to work in a parametric speech synthesis framework, but as yet, there has been little success in creating a better parameterization that is more suited to synthesis.
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