Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while kee** the linguistic …

While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

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 …

In this paper, we describe a novel spectral conversion method for voice conversion (VC). A
Gaussian mixture model (GMM) of the joint probability density of source and target features …

Voice transformation refers to the various modifications one may apply to the sound
produced by a person, speaking or singing. Voice transformation is usually seen as an add …

Any modification applied to speech signals has an impact on their perceptual quality. In
particular, voice conversion to modify a source voice so that it is perceived as a specific …

Most existing voice conversion systems, particularly those based on Gaussian mixture
models, require a set of paired acoustic vectors from the source and target speakers to learn …

In Voice Conversion (VC), the speech of a source speaker is modified to resemble that of a
particular target speaker. Currently, standard VC approaches use Gaussian mixture model …

Editing audio narration using conventional software typically involves many painstaking low-
level manipulations. Some state of the art systems allow the editor to work in a text transcript …

In most state-of-the-art voice conversion systems, speech quality of converted utterances is
still unsatisfactory. In this paper, STRAIGHT analysis-synthesis framework is used to improve …