README.md

---
language: fo
datasets:
- ravnursson
tags:
- audio
- automatic-speech-recognition
- faroese
- xlrs-53-faroese
- ravnur-project
- faroe-islands
license: cc-by-4.0
widget:
model-index:
- name: wav2vec2-large-xlsr-53-faroese-100h
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Ravnursson Faroese Speech and Transcripts
      type: read
      split: test
      args: 
        language: fo
    metrics:
    - name: Test WER
      type: wer
      value: 0.076
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Ravnursson Faroese Speech and Transcripts
      type: read
      split: dev
      args: 
        language: fo
    metrics:
    - name: Test WER
      type: wer
      value: 0.00556
---

# wav2vec2-large-xlsr-53-faroese-100h

The "wav2vec2-large-xlsr-53-faroese-100h" is an acoustic model suitable for Automatic Speech Recognition in Faroese. It is the result of fine-tuning the model "facebook/wav2vec2-large-xlsr-53" with 100 hours of Faroese data released by the Ravnur Project (https://maltokni.fo/en/) from the Faroe Islands.

The specific dataset used to create the model is called "Ravnursson Faroese Speech and Transcripts" and it is available at http://hdl.handle.net/20.500.12537/276.
	
The fine-tuning process was perform during November (2022) in the servers of the Language and Voice Lab (https://lvl.ru.is/) at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena.

# BibTeX entry and citation info
*When publishing results based on these models please refer to:*
```bibtex
@misc{mena2022xlrs53faroese,
      title={Acoustic Model in Faroese: wav2vec2-large-xlsr-53-faroese-100h.}, 
      author={Hernandez Mena, Carlos Daniel},
      year={2022},
      url={https://huggingface.co/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-faroese-100h},
}
```

# Acknowledgements

We want to thank to Jón Guðnason, head of the Language and Voice Lab for providing computational power to make this model possible. We also want to thank to the "Language Technology Programme for Icelandic 2019-2023" which is managed and coordinated by Almannarómur, and it is funded by the Icelandic Ministry of Education, Science and Culture.

Special thanks to Annika Simonsen and to The Ravnur Project for making their
"Basic Language Resource Kit"(BLARK 1.0) publicly available through the research paper "Creating a Basic Language Resource Kit for Faroese" https://aclanthology.org/2022.lrec-1.495.pdf