In this paper, we introduce a high-quality and large-scale benchmark dataset
for English-Vietnamese speech translation with 508 audio hours, consisting of
331K triplets of (sentence-lengthed audio, English source transcript sentence,
Vietnamese target subtitle sentence). We also conduct empirical experiments
using strong baselines and find that the traditional "Cascaded" approach still
outperforms the modern "End-to-End" approach. To the best of our knowledge,
this is the first large-scale English-Vietnamese speech translation study. We
hope both our publicly available dataset and study can serve as a starting
point for future research and applications on English-Vietnamese speech
translation. Our dataset is available at this https URL

本研究介绍了一个高质量和大规模的英越语音翻译基准数据集，并使用强基线进行实证实验，发现传统的 “级联” 方法仍然优于现代的 “端到端” 方法，这是有关大规模英越语音翻译的第一项研究，我们的数据集和研究可用于未来研究和应用的起点。