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

no code implementations • 4 Mar 2020 • Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao

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.

Graph Embedding Graph-to-Sequence +1

GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis

no code implementations • 3 Dec 2020 • Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Lingwei Kong, Jing Xiao

Graph-to-sequence model is proposed and formed by a graph encoder and an attentional decoder.

Graph Embedding Graph-to-Sequence +1