A text-to-speech synthesis system typically consists of multiple stages, such as a text
analysis frontend, an acoustic model and an audio synthesis module. Building these …

ABSTRACT A text-to-speech synthesis system typically consists of multiple stages, such as a
text analysis frontend, an acoustic model and an audio synthesis module. Building these …

Text-to-speech (TTS) has made rapid progress in both academia and industry in recent
years. Some questions naturally arise that whether a TTS system can achieve human-level …

In this paper we propose Flowtron: an autoregressive flow-based generative network for text-
to-speech synthesis with control over speech variation and style transfer. Flowtron borrows …

End-to-end speech synthesis is a promising approach that directly converts raw text to
speech. Although it was shown that Tacotron2 outperforms classical pipeline systems with …

Although end-to-end text-to-speech (TTS) models such as Tacotron have shown excellent
results, they typically require a sizable set of high-quality< text, audio> pairs for training …

Text-to-Speech (TTS) has recently seen great progress in synthesizing high-quality speech
owing to the rapid development of parallel TTS systems, but producing speech with …

We present a novel generative model that combines state-of-the-art neural text-to-speech
(TTS) with semi-supervised probabilistic latent variable models. By providing partial …

Modern text-to-speech synthesis pipelines typically involve multiple processing stages, each
of which is designed or learnt independently from the rest. In this work, we take on the …

Current text to speech (TTS) systems usually leverage a cascaded acoustic model and
vocoder pipeline with mel-spectrograms as the intermediate representations, which suffer …