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

3 citations · 5 across the 3 of their papers we have counts for

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eess.AS2020★ 2 cited

GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis

Aolan Sun, Jianzong Wang, Ning Cheng +4

This paper introduces a graphical representation approach of prosody boundary (GraphPB) in the task of Chinese speech synthesis, intending to parse the semantic and syntactic relat…

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…