3 citations · 6 across the 13 of their papers we have counts for
3 papers · 1 filter
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Ioannis Tsiamas, José A. R. Fonollosa, Marta R. Costa-jussà
End-to-end Speech Translation is hindered by a lack of available data resources. While most of them are based on documents, a sentence-level version is available, which is however…
Efficient Speech Translation with Dynamic Latent Perceivers
Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa +1
Transformers have been the dominant architecture for Speech Translation in recent years, achieving significant improvements in translation quality. Since speech signals are longer…
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Ioannis Tsiamas, Gerard I. Gállego, José A. R. Fonollosa +1
Speech translation models are unable to directly process long audios, like TED talks, which have to be split into shorter segments. Speech translation datasets provide manual segme…