Conference paper Open Access

Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task

Potapczyk, Tomasz; Przybysz, Pawel; Chochowski, Marcin; Szumaczuk, Artur


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This paper describes the submission to IWSLT 2019 End- to-End speech translation task by Samsung R&amp;D Institute, Poland. We decided to focus on end-to-end English to German TED lectures translation and did not provide any submission for other speech tasks. We used a slightly altered Transformer&nbsp;architecture with standard convolutional layer preparing the audio input to Transformer en- coder. Additionally, we propose an audio segmentation al- gorithm maximizing BLEU score on tst2015 test set.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Samsung R&D Institute, Poland", 
      "@type": "Person", 
      "name": "Potapczyk, Tomasz"
    }, 
    {
      "affiliation": "Samsung R&D Institute, Poland", 
      "@type": "Person", 
      "name": "Przybysz, Pawel"
    }, 
    {
      "affiliation": "Samsung R&D Institute, Poland", 
      "@type": "Person", 
      "name": "Chochowski, Marcin"
    }, 
    {
      "affiliation": "Samsung R&D Institute, Poland", 
      "@type": "Person", 
      "name": "Szumaczuk, Artur"
    }
  ], 
  "headline": "Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2019-11-02", 
  "url": "https://zenodo.org/record/3525498", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3525498", 
  "@id": "https://doi.org/10.5281/zenodo.3525498", 
  "@type": "ScholarlyArticle", 
  "name": "Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task"
}
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