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20202023
most citedStacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

6 citations · 14 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation

Yuchen Han, Chen Xu, Tong Xiao +1

Pre-training and fine-tuning is a paradigm for alleviating the data scarcity problem in end-to-end speech translation (E2E ST). The commonplace "modality gap" between speech and te…

cs.CL20235 cited

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…

cs.CL2021

The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task

Chen Xu, Xiaoqian Liu, Xiaowen Liu +4

This paper describes the submission of the NiuTrans end-to-end speech translation system for the IWSLT 2021 offline task, which translates from the English audio to German text dir…

cs.CL20216 cited

Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders

Chen Xu, Bojie Hu, Yanyang Li +5

Encoder pre-training is promising in end-to-end Speech Translation (ST), given the fact that speech-to-translation data is scarce. But ST encoders are not simple instances of Autom…

cs.CL2020

Dynamic Curriculum Learning for Low-Resource Neural Machine Translation

Chen Xu, Bojie Hu, Yufan Jiang +6

Large amounts of data has made neural machine translation (NMT) a big success in recent years. But it is still a challenge if we train these models on small-scale corpora. In this…