A Deep Learning Approach to Data-driven Parameterizations for Statistical Parametric Speech Synthesis

Nearly all Statistical Parametric Speech Synthesizers today use Mel Cepstral coefficients as the vocal tract parameterization of the speech signal. 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... (read more)

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METHOD TYPE
Denoising Autoencoder
Generative Models
AutoEncoder
Generative Models