Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

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 …

Any-to-any voice conversion aims to transform source speech into a target voice with just a
few examples of the target speaker as a reference. Recent methods produce convincing …

Text-to-Speech (TTS) technology brings significant advantages, such as giving a voice to
those with speech impairments, but also enables audio deepfakes and spoofs. The former …

This paper proposes RefXVC, a method for crosslingual voice conversion (XVC) that
leverages reference information to improve conversion performance. Previous XVC works …

Deep speech classification has achieved tremendous success and greatly promoted the
emergence of many real-world applications. However, backdoor attacks present a new …

We introduce OpenVoice, a versatile voice cloning approach that requires only a short audio
clip from the reference speaker to replicate their voice and generate speech in multiple …

We present StreamVC, a streaming voice conversion solution that preserves the content and
prosody of any source speech while matching the voice timbre from any target speech …

Voice conversion refers to transferring speaker identity with well-preserved content. Better
disentanglement of speech representations leads to better voice conversion. Recent studies …