Efficient yet Competitive Speech Translation: FBK@IWSLT2022. (arXiv:2205.02629v1 [cs.CL])

The primary goal of this FBK's systems submission to the IWSLT 2022 offline
and simultaneous speech translation tasks is to reduce model training costs
without sacrificing translation quality. As such, we first question the need of
ASR pre-training, showing that it is not essential to achieve competitive
results. Second, we focus on data filtering, showing that a simple method that
looks at the ratio between source and target characters yields a quality
improvement of 1 BLEU. Third, we compare different …

arxiv speech translation