2021.iwslt-1.6@ACL

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#1 The Volctrans Neural Speech Translation System for IWSLT 2021 [PDF] [Copy] [Kimi1]

Authors: Chengqi Zhao ; Zhicheng Liu ; Jian Tong ; Tao Wang ; Mingxuan Wang ; Rong Ye ; Qianqian Dong ; Jun Cao ; Lei Li

This paper describes the systems submitted to IWSLT 2021 by the Volctrans team. We participate in the offline speech translation and text-to-text simultaneous translation tracks. For offline speech translation, our best end-to-end model achieves 7.9 BLEU improvements over the benchmark on the MuST-C test set and is even approaching the results of a strong cascade solution. For text-to-text simultaneous translation, we explore the best practice to optimize the wait-k model. As a result, our final submitted systems exceed the benchmark at around 7 BLEU on the same latency regime. We release our code and model to facilitate both future research works and industrial applications.