4 citations · 16 across the 6 of their papers we have counts for
5 papers · 1 filter
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
Zhen Zeng, Jianzong Wang, Ning Cheng +1
In this paper, we propose a novel conditional convolution network, named location-variable convolution, to model the dependencies of the waveform sequence. Different from the use o…
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…
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit
Zhen Zeng, Jianzong Wang, Ning Cheng +1
Recent neural speech synthesis systems have gradually focused on the control of prosody to improve the quality of synthesized speech, but they rarely consider the variability of pr…
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
Zhen Zeng, Jianzong Wang, Ning Cheng +2
Targeting at both high efficiency and performance, we propose AlignTTS to predict the mel-spectrum in parallel. AlignTTS is based on a Feed-Forward Transformer which generates mel-…
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…