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---
language:
- mt
tags: []
---
# Maltese ASR
wav2vec2 further trained on Maltese data
## License
This work is licensed under a
[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].
Permissions beyond the scope of this license may be available at [https://mlrs.research.um.edu.mt/](https://mlrs.research.um.edu.mt/).
[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]
[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
## Citation
This work was first presented in [UM-DFKI Maltese Speech Translation](https://aclanthology.org/2023.iwslt-1.41/).
Cite it as follows:
```bibtex
@inproceedings{williams-etal-2023-um,
title = "{UM}-{DFKI} {M}altese Speech Translation",
author = {Williams, Aiden and
Abela, Kurt and
Kumar, Rishu and
B{\"a}r, Martin and
Billinghurst, Hannah and
Micallef, Kurt and
Mozib Samin, Ahnaf and
DeMarco, Andrea and
van der Plas, Lonneke and
Borg, Claudia},
editor = "Salesky, Elizabeth and
Federico, Marcello and
Carpuat, Marine",
booktitle = "Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)",
month = jul,
year = "2023",
address = "Toronto, Canada (in-person and online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.iwslt-1.41",
doi = "10.18653/v1/2023.iwslt-1.41",
pages = "433--441"
}
```