173 citations · 209 across the 3 of their papers we have counts for
3 papers
eess.AS2020★ 30 cited
MultiSpeech: Multi-Speaker Text to Speech with Transformer
Mingjian Chen, Xu Tan, Yi Ren +5
Transformer-based text to speech (TTS) model (e.g., Transformer TTS~\cite{li2019neural}, FastSpeech~\cite{ren2019fastspeech}) has shown the advantages of training and inference eff…
cs.CL2020★ 173 cited
Incorporating BERT into Neural Machine Translation
Jinhua Zhu, Yingce Xia, Lijun Wu +5
The recently proposed BERT has shown great power on a variety of natural language understanding tasks, such as text classification, reading comprehension, etc. However, how to effe…
cs.LG2015★ 6 cited
On the Depth of Deep Neural Networks: A Theoretical View
Shizhao Sun, Wei Chen, Liwei Wang +2
People believe that depth plays an important role in success of deep neural networks (DNN). However, this belief lacks solid theoretical justifications as far as we know. We invest…