论文标题

IWSLT 2020的Elitr非本地语音翻译

ELITR Non-Native Speech Translation at IWSLT 2020

论文作者

Macháček, Dominik, Kratochvíl, Jonáš, Sagar, Sangeet, Žilinec, Matúš, Bojar, Ondřej, Nguyen, Thai-Son, Schneider, Felix, Williams, Philip, Yao, Yuekun

论文摘要

本文是IWSLT 2020的非本地语音翻译任务的ELITR系统提交。我们描述了离线ASR,实时ASR的系统,以及我们的离线SLT和实时SLT的级联方法。我们从既有系统的库中选择主要的候选人,开发新的端到端通用ASR系统,以及接受过非本地语音培训的混合动力ASR。提供的小验证集可阻止我们进行复杂的验证,但是我们提交了所有未选择的候选人,以进行对比度评估。

This paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020. We describe systems for offline ASR, real-time ASR, and our cascaded approach to offline SLT and real-time SLT. We select our primary candidates from a pool of pre-existing systems, develop a new end-to-end general ASR system, and a hybrid ASR trained on non-native speech. The provided small validation set prevents us from carrying out a complex validation, but we submit all the unselected candidates for contrastive evaluation on the test set.

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