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In this paper, we introduce a high-quality and large-scale benchmark datasetfor English-Vietnamese speech translation with 508 audio hours, consisting of331K triplets of (sentence-lengthed audio, English source transcript sentence,Vietnamese target subtitle sentence). We also conduct empirical experimentsusing strong baselines and find that the traditional "Cascaded" approach stilloutperforms the modern "End-to-End" approach. To the best of our knowledge,this is the first large-scale English-Vietnamese speech translation study. Wehope both our publicly available dataset and study can serve as a startingpoint for future research and applications on English-Vietnamese speechtranslation. Our dataset is available at https://github.com/VinAIResearch/PhoST

A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation