Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

Voice conversion can be formulated as finding a mapping function which transforms the
features of the source speaker to those of the target speaker. Gaussian mixture model …

A drawback of many voice conversion algorithms is that they rely on linear models and/or
require a lot of tuning. In addition, many of them ignore the inherent time-dependency …

Text-to-speech options on augmentative and alternative communication (AAC) devices are
limited. Often, several individuals in a group setting use the same synthetic voice. This lack …

Voice conversion is a speech technology encompassing transformations applied to the
speech signal with the purpose of changing the perceived speaker identity from a source …

Voice conversion (VC) is an area of speech processing that deals with the conversion of the
perceived speaker identity. In other words, the speech signal uttered by a first speaker, the …

Gaussian mixture model (GMM)-based spectral voice conversion (VC) can be performed in
real-time by applying the conversion method frame by frame. However, this local method …

In the literature of voice conversion (VC), the method based on statistical Gaussian mixture
model (GMM) serves as a benchmark. However, one of the inherent drawbacks of GMM is …