Research paper arXiv

fairseq s2t: Fast speech-to-text modeling with fairseq

First page of fairseq s2t: Fast speech-to-text modeling with fairseq.
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In this reference

A fairseq extension for speech-to-text tasks such as recognition and translation, with workflows from data preprocessing onward.

Cite the original work

C. Wang & Y. Tang & X. Ma & A. Wu & D. Okhonko… (2020). fairseq s2t: Fast speech-to-text modeling with fairseq [Research paper]. arXiv. https://arxiv.org/pdf/2010.05171

View BibTeX
@misc{fairseq_s2t,
  author = {C. Wang and Y. Tang and X. Ma and A. Wu and D. Okhonko…},
  title = {{fairseq s2t: Fast speech-to-text modeling with fairseq}},
  howpublished = {arXiv},
  url = {https://arxiv.org/pdf/2010.05171},
  year = {2020}
}
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