9 citations · 9 across the 1 of their papers we have counts for
3 papers
eess.IV2019★ 9 cited
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks
Erico Tjoa, Guo Heng, Lu Yuhao +1
We implement a visual interpretability method Layer-wise Relevance Propagation (LRP) on top of 3D U-Net trained to perform lesion segmentation on the small dataset of multi-modal i…
eess.AS2018
FPETS : Fully Parallel End-to-End Text-to-Speech System
Dabiao Ma, Zhiba Su, Wenxuan Wang +1
End-to-end Text-to-speech (TTS) system can greatly improve the quality of synthesised speech. But it usually suffers form high time latency due to its auto-regressive structure. An…
cs.SD2018
UFANS: U-shaped Fully-Parallel Acoustic Neural Structure For Statistical Parametric Speech Synthesis With 20X Faster
Dabiao Ma, Zhiba Su, Yuhao Lu +2
Neural networks with Auto-regressive structures, such as Recurrent Neural Networks (RNNs), have become the most appealing structures for acoustic modeling of parametric text to spe…