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

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-length 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 largescale 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 EnglishVietnamese speech translation.

Index Terms: Benchmark dataset, English-Vietnamese, Speech translation, Automatic speech recognition, Machine translation, Cascaded, End-to-End.