26 citations · 68 across the 12 of their papers we have counts for
4 papers · 1 filter
NeurST: Neural Speech Translation Toolkit
Chengqi Zhao, Mingxuan Wang, Qianqian Dong +2
NeurST is an open-source toolkit for neural speech translation. The toolkit mainly focuses on end-to-end speech translation, which is easy to use, modify, and extend to advanced sp…
Volctrans Parallel Corpus Filtering System for WMT 2020
Runxin Xu, Zhuo Zhi, Jun Cao +2
In this paper, we describe our submissions to the WMT20 shared task on parallel corpus filtering and alignment for low-resource conditions. The task requires the participants to al…
"Listen, Understand and Translate": Triple Supervision Decouples End-to-end Speech-to-text Translation
Qianqian Dong, Rong Ye, Mingxuan Wang +4
An end-to-end speech-to-text translation (ST) takes audio in a source language and outputs the text in a target language. Existing methods are limited by the amount of parallel cor…
Deep Modulation Recognition with Multiple Receive Antennas: An End-to-end Feature Learning Approach
Lei Li, Qihang Peng, Jun Wang
Modulation recognition using deep neural networks has shown promising advantages over conventional algorithms. However, most existing research focuses on single receive antenna. In…