Parallel Tacotron: Non-Autoregressive and Controllable TTS

Isaac Elias
Isaac Elias
Jonathan Shen
Jonathan Shen
Ye Jia
Ye Jia
Cited by: 0|Bibtex|Views7
Other Links: arxiv.org

Abstract:

Although neural end-to-end text-to-speech models can synthesize highly natural speech, there is still room for improvements to its efficiency and naturalness. This paper proposes a non-autoregressive neural text-to-speech model augmented with a variational autoencoder-based residual encoder. This model, called \emph{Parallel Tacotron}, ...More

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