most citedJDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment

18 citations · 18 across the 1 of their papers we have counts for

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1 paper

eess.AS2020★ 18 cited

JDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment

Dan Lim, Won Jang, Gyeonghwan O +3

We propose Jointly trained Duration Informed Transformer (JDI-T), a feed-forward Transformer with a duration predictor jointly trained without explicit alignments in order to gener…