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Data Augmentation for End-to-End Speech Translation: FBK@IWSLT '19
2019
Zenodo
This paper describes FBK's submission to the end-to-end speech translation (ST) task at IWSLT 2019. The task consists in the "direct" translation (i.e. without intermediate discrete representation) of English speech data derived from TED Talks or lectures into German texts. Our participation had a twofold goal: i) testing our latest models, and ii) eval- uating the contribution to model training of different data augmentation techniques. On the model side, we deployed our recently proposed
doi:10.5281/zenodo.3525492
fatcat:yvmfqs3gqrainc2gno4f5eoyhe