Voice conversion is a process where the essence of a speaker's identity is seamlessly
transferred to another speaker, all while preserving the content of their speech. This usage is …

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

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

Voice conversion as the style transfer task applied to speech, refers to converting one
person's speech into a new speech that sounds like another person's. Up to now, there has …

Zero-shot speaker adaptation aims to clone an unseen speaker's voice without any
adaptation time and parameters. Previous researches usually use a speaker encoder to …

This paper introduces a novel voice conversion (VC) model, guided by text instructions such
as “articulate slowly with a deep tone “or “speak in a cheerful boyish voice”. Unlike …

Despite recent advances in voice conversion (VC), it is still challenging to do real-time one-
shot voice conversion with good control over timbre and F 0. In this work, we present a PPG …

E2E-S2S-VC: End-to-end sequence-to-sequence voice conversion Page 1 E2E-S2S-VC:
End-to-end sequence-to-sequence voice conversion Takuma Okamoto1, Tomoki Toda2,1 …

Background sound is an informative form of art that is helpful in providing a more immersive
experience in real-application voice conversion (VC) scenarios. However, prior research …

In recent years, large-scale pre-trained speech language models (SLMs) have
demonstrated remarkable advancements in various generative speech modeling …