While the performance of cross-lingual TTS based on monolingual corpora has been
significantly improved recently, generating cross-lingual speech still suffers from the foreign …

Building end-to-end speech synthesisers for Indian languages is challenging, given the lack
of adequate clean training data and multiple grapheme representations across languages …

An essential design decision for multilingual Neural Text-To-Speech (NTTS) systems is how
to represent input linguistic features within the model. Looking at the wide variety of …

Training multilingual Neural Text-To-Speech (NTTS) models using only monolingual
corpora has emerged as a popular way for building voice cloning based Polyglot NTTS …

In this work we improve the style representation for crosslingual style transfer. Specifically,
we improve the Spanish representation across four styles, Newscaster, DJ, Excited, and …

In this paper, we study the disentanglement of speaker and language representations in non-
autoregressive cross-lingual TTS models from various aspects. We propose a phoneme …

As the quality of contemporary speech synthesis improves, so too does the interest from
language communities in developing text-to-speech (TTS) systems for a variety of real-world …

We introduce continuous phonological features as input to TTS with the dual objective of
more precise control over phonological aspects and better potential for exploration of latent …

This paper studies a transferable phoneme embedding framework that aims to deal with the
cross-lingual text-to-speech (TTS) problem under the few-shot setting. Transfer learning is a …

Voice cloning is a difficult task which requires robust and informative features incorporated
in a high quality TTS system in order to effectively copy an unseen speaker's voice. In our …