no code implementations • 7 Dec 2023 • Huan Zhao, Li Zhang, Yue Li, Yannan Wang, Hongji Wang, Wei Rao, Qing Wang, Lei Xie
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems.
no code implementations • 27 Jun 2023 • Shuai Wang, Chengdong Liang, Xu Xiang, Bing Han, Zhengyang Chen, Hongji Wang, Wen Ding
This report showcases the results achieved using the wespeaker toolkit for the VoxSRC2023 Challenge.
no code implementations • 27 Jan 2023 • Chulun Zhou, Yunlong Liang, Fandong Meng, Jie zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su
To address these issues, in this paper, we propose a multi-task multi-stage transitional (MMT) training framework, where an NCT model is trained using the bilingual chat translation dataset and additional monolingual dialogues.
no code implementations • ACL 2022 • Chulun Zhou, Fandong Meng, Jie zhou, Min Zhang, Hongji Wang, Jinsong Su
Most dominant neural machine translation (NMT) models are restricted to make predictions only according to the local context of preceding words in a left-to-right manner.
2 code implementations • 16 Jan 2018 • Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang
The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation.