---
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"
}

```