30 citations · 108 across the 20 of their papers we have counts for
33 papers
PolyVoice: Language Models for Speech to Speech Translation
Qianqian Dong, Zhiying Huang, Qiao Tian +15
We propose PolyVoice, a language model-based framework for speech-to-speech translation (S2ST) system. Our framework consists of two language models: a translation language model a…
M3ST: Mix at Three Levels for Speech Translation
Xuxin Cheng, Qianqian Dong, Fengpeng Yue +3
How to solve the data scarcity problem for end-to-end speech-to-text translation (ST)? It's well known that data augmentation is an efficient method to improve performance for many…
PARAGEN : A Parallel Generation Toolkit
Jiangtao Feng, Yi Zhou, Jun Zhang +7
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly…
Zero-shot Domain Adaptation for Neural Machine Translation with Retrieved Phrase-level Prompts
Zewei Sun, Qingnan Jiang, Shujian Huang +3
Domain adaptation is an important challenge for neural machine translation. However, the traditional fine-tuning solution requires multiple extra training and yields a high cost. I…
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation
Qianqian Dong, Fengpeng Yue, Tom Ko +3
Direct Speech-to-speech translation (S2ST) has drawn more and more attention recently. The task is very challenging due to data scarcity and complex speech-to-speech mapping. In th…
Cross-modal Contrastive Learning for Speech Translation
Rong Ye, Mingxuan Wang, Lei Li
How can we learn unified representations for spoken utterances and their written text? Learning similar representations for semantically similar speech and text is important for sp…