Voice Conversion using GMM with Enhanced Global Variance

Hadas Benisty & David Malah
The goal of voice conversion is to transform a sentence said by one speaker, to sound as if another speaker had said it. The classical conversion based on a Gaussian Mixture Model and several other schemes suggested since, produce muffled sounding outputs, due to excessive smoothing of the spectral envelopes. To reduce the muffling effect, enhancement of the Global Variance (GV) of the spectral features was recently suggested. We propose a different approach for GV...
This data center is not currently reporting usage information. For information on how your repository can submit usage information, please see our Documentation.