Cross-lingual personalized speech generation seeks to synthesize a target speaker's voice
from only a few training samples that are in a different language. One popular technique is to …

Voice conversion aims to modify the source speaker's voice to resemble the target speaker
while preserving the original speech content. Despite notable advancements in voice …

In this paper, we propose GlowVC: a multilingual multi-speaker flow-based model for
language-independent text-free voice conversion. We build on Glow-TTS, which provides an …

Cross-lingual voice conversion (XVC) transforms the speaker identity of a source speaker to
that of a target speaker who speaks a different language. Due to the intrinsic differences …

Voice conversion systems have made significant advancements in terms of naturalness and
similarity in common voice conversion tasks. However, their performance in more complex …

Zero-shot voice conversion aims to transfer the voice of a source speaker to that of a
speaker unseen during training, while preserving the content information. Although various …

This paper presents a method for end-to-end cross-lingual text-to-speech (TTS) which aims
to preserve the target language's pronunciation regardless of the original speaker's …

Abstract Cross-Lingual Voice Conversion (XVC) aims to change the identity of a source
speaker towards a target speaker while preserving the content. In particular, the source and …