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arXiv 2006.03331cs.CL
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ELITR Non-Native Speech Translation at IWSLT 2020

Charles University(查理大学);Karlsruhe Institute of Technology(卡尔斯鲁厄理工学院);University of Edinburgh(爱丁堡大学)

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

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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