most citedGraphTTS: graph-to-sequence modelling in neural text-to-speech

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

eess.AS2020★ 3 cited

GraphTTS: graph-to-sequence modelling in neural text-to-speech

Aolan Sun, Jianzong Wang, Ning Cheng +3

This paper leverages the graph-to-sequence method in neural text-to-speech (GraphTTS), which maps the graph embedding of the input sequence to spectrograms. The graphical inputs co…