November 2, 2019 Conference paper Open Access

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

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  <dc:creator>Potapczyk, Tomasz</dc:creator>
  <dc:creator>Przybysz, Pawel</dc:creator>
  <dc:creator>Chochowski, Marcin</dc:creator>
  <dc:creator>Szumaczuk, Artur</dc:creator>
  <dc:date>2019-11-02</dc:date>
  <dc:description>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 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.</dc:description>
  <dc:identifier>https://zenodo.org/record/3525498</dc:identifier>
  <dc:identifier>10.5281/zenodo.3525498</dc:identifier>
  <dc:identifier>oai:zenodo.org:3525498</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3525497</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/iwslt2019</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Samsung's System for the IWSLT 2019 End-to-End Speech Translation Task</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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