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

Linh The Nguyen, Nguyen Luong Tran, Long Doan, Manh Luong, Dat Quoc Nguyen
8/8/2022
cs.CL

Official code: VinAIResearch/PhoST (26 stars, last commit 2025-06-05).

Abstract

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 https://github.com/VinAIResearch/PhoST

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VinAIResearch/PhoSTOfficial100%

A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation (INTERSPEECH 2022)

262Jul 2, 20221 years agoNOASSERTION
benchmark-datasetenglishenglish-to-vietnamesemachine-translationphost+2 more

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Cite this paper

@article{nguyen2022highquality,
  title  = {A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation},
  author = {Linh The Nguyen and Nguyen Luong Tran and Long Doan and Manh Luong and Dat Quoc Nguyen},
  year   = {2022},
  eprint = {2208.04243},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2208.04243v1}
}

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