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This paper proposes a simultaneous modeling of spectrum and F0 for voice conversion based on MSD (multi-space probability distribution) models. As a conventional technique, a spectral conversion based on GMM (Gaussian mixture model) has been proposed. Although this technique converts spectral feature sequences nonlinearly based on GMM, F0 sequences are usually converted by a simple linear function...
Hidden Markov models using Gaussian mixture models as their hidden state distributions have been successfully applied in text-dependent speaker identification applications. Nevertheless, it is well-known that Gaussian mixture models are very vulnerable to the presence of outliers in the fitting set used for their estimation. Student's-t mixture models have been proposed recently as a heavy-tailed,...
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