Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

The voice conversion challenge is a bi-annual scientific event held to compare and
understand different voice conversion (VC) systems built on a common dataset. In 2020, we …

Abstract Cross-Lingual Voice Conversion (XVC) aims to modify a source speaker identity
towards a target while preserving the source linguistic content. This paper introduces a cycle …

Neural attention mechanisms have gained significant popularity and widespread adoption in
various applications. These attention mechanisms can be applied to different models …

Singing voice conversion methods encounter challenges in achieving a delicate balance
between synthesis quality and singer similarity. Traditional voice conversion techniques …

In the task of voice conversion (VC), the voice of the source speaker is converted into the
voice of the target speaker, but the voice content does not change in this task. There has …

This paper takes a review of some recent state-of-the-art works in the field of speech
generation through adopting adaptive Generative Adversarial Network (GAN). It firstly …

Voice conversion (VC) is a speech processing task where speech by a source speaker is
transformed into speech that appears to be spoken by a desired target speaker while …