21 citations · 28 across the 2 of their papers we have counts for
3 papers
eess.AS2020★ 7 cited
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
Guangzhi Sun, Yu Zhang, Ron J. Weiss +3
This paper proposes a hierarchical, fine-grained and interpretable latent variable model for prosody based on the Tacotron 2 text-to-speech model. It achieves multi-resolution mode…
cs.LG2018
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu, Jianqiang Yao, Zhouchen Lin +4
Recurrent neural networks have achieved excellent performance in many applications. However, on portable devices with limited resources, the models are often too large to deploy. F…
stat.ML2015★ 21 cited
Local and Global Inference for High Dimensional Nonparanormal Graphical Models
Quanquan Gu, Yuan Cao, Yang Ning +1
This paper proposes a unified framework to quantify local and global inferential uncertainty for high dimensional nonparanormal graphical models. In particular, we consider the pro…