4 citations · 4 across the 1 of their papers we have counts for
4 papers
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-…
A simple discriminative training method for machine translation with large-scale features
Tian Xia, Shaodan Zhai, Shaojun Wang
Margin infused relaxed algorithms (MIRAs) dominate model tuning in statistical machine translation in the case of large scale features, but also they are famous for the complexity…
Plackett-Luce model for learning-to-rank task
Tian Xia, Shaodan Zhai, Shaojun Wang
List-wise based learning to rank methods are generally supposed to have better performance than point- and pair-wise based. However, in real-world applications, state-of-the-art sy…
Analysis of Regression Tree Fitting Algorithms in Learning to Rank
Tian Xia, Shaodan Zhai, Shaojun Wang
In learning to rank area, industry-level applications have been dominated by gradient boosting framework, which fits a tree using least square error principle. While in classificat…