ISCA Archive Interspeech 2021
ISCA Archive Interspeech 2021

The Multilingual TEDx Corpus for Speech Recognition and Translation

Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post

We present the Multilingual TEDx corpus, built to support speech recognition (ASR) and speech translation (ST) research across many non-English source languages. The corpus is a collection of audio recordings from TEDx talks in 8 source languages. We segment transcripts into sentences and align them to the source-language audio and target-language translations. The corpus is released along with open-sourced code enabling extension to new talks and languages as they become available. Our corpus creation methodology can be applied to more languages than previous work, and creates multi-way parallel evaluation sets. We provide baselines in multiple ASR and ST settings, including multilingual models to improve translation performance for low-resource language pairs.


doi: 10.21437/Interspeech.2021-11

Cite as: Salesky, E., Wiesner, M., Bremerman, J., Cattoni, R., Negri, M., Turchi, M., Oard, D.W., Post, M. (2021) The Multilingual TEDx Corpus for Speech Recognition and Translation. Proc. Interspeech 2021, 3655-3659, doi: 10.21437/Interspeech.2021-11

@inproceedings{salesky21_interspeech,
  author={Elizabeth Salesky and Matthew Wiesner and Jacob Bremerman and Roldano Cattoni and Matteo Negri and Marco Turchi and Douglas W. Oard and Matt Post},
  title={{The Multilingual TEDx Corpus for Speech Recognition and Translation}},
  year=2021,
  booktitle={Proc. Interspeech 2021},
  pages={3655--3659},
  doi={10.21437/Interspeech.2021-11}
}