Cross-speaker style transfer for text-to-speech using data augmentation. (arXiv:2202.05083v1 [eess.AS])

We address the problem of cross-speaker style transfer for text-to-speech
(TTS) using data augmentation via voice conversion. We assume to have a corpus
of neutral non-expressive data from a target speaker and supporting
conversational expressive data from different speakers. Our goal is to build a
TTS system that is expressive, while retaining the target speaker's identity.
The proposed approach relies on voice conversion to first generate high-quality
data from the set of supporting expressive speakers. The voice converted data
is …

arxiv augmentation data speech style transfer text text-to-speech