Modeling Prosodic Phrasing with Multi-Task Learning in Tacotron-based TTS

11 Aug 2020 Rui Liu Berrak Sisman Feilong Bao Guanglai Gao Haizhou Li

Tacotron-based end-to-end speech synthesis has shown remarkable voice quality. However, the rendering of prosody in the synthesized speech remains to be improved, especially for long sentences, where prosodic phrasing errors can occur frequently... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper