readme: ---
  language:
  - fo
  library_name: nemo
  datasets:
  - carlosdanielhernandezmena/ravnursson_asr
  thumbnail: null
  tags:
  - automatic-speech-recognition
  - speech
  - audio
  - CTC
  - pytorch
  - NeMo
  - QuartzNet
  - QuartzNet15x5
  - faroese
  - faroe islands
  license: cc-by-4.0
  widget:
  model-index:
  - name: stt_fo_quartznet15x5_sp_ep163_100h
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Ravnursson Corpus (Test)
        type: carlosdanielhernandezmena/ravnursson_asr
        split: test
        args: 
          language: fo
      metrics:
      - name: WER
        type: wer
        value: 22.81
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Ravnursson Corpus (Dev)
        type: carlosdanielhernandezmena/ravnursson_asr
        split: validation
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 20.51
  ---
  # stt_fo_quartznet15x5_sp_ep163_100h
  **NOTE! This model was trained with the NeMo version: nemo-toolkit==1.10.0**
  
  The "stt_fo_quartznet15x5_sp_ep163_100h" is an acoustic model created with NeMo which is suitable for Automatic Speech Recognition in Faroese. 
  
  It is the result of fine-tuning the model ["QuartzNet15x5Base-En.nemo"](https://catalog.ngc.nvidia.com/orgs/nvidia/models/nemospeechmodels/files) with 100 hours of Faroese data developed by the [Ravnur Project](https://maltokni.fo/en/the-ravnur-project) from the Faroe Islands and curated by Carlos Mena during 2022. Most of the data is available at public repositories such as [Clarin.is](http://hdl.handle.net/20.500.12537/276) or [Hugging Face](https://huggingface.co/datasets/carlosdanielhernandezmena/ravnursson_asr).
  
  The specific corpus used to fine-tune the model is:
  
  - [The Ravnursson Corpus: Faroese Speech and Transcripts (100h34m)](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 Laboratory](https://lvl.ru.is/) at [Reykjavík University](https://en.ru.is/) (Iceland) by Carlos Daniel Hernández Mena.
  ```bibtex
  @misc{mena2022quartznet15x5faroese,
        title={Acoustic Model in Faroese: stt_fo_quartznet15x5_sp_ep163_100h.}, 
        author={Hernandez Mena, Carlos Daniel},
        year={2022},
        url={https://huggingface.co/carlosdanielhernandezmena/stt_fo_quartznet15x5_sp_ep163_100h},
  }
  ```
  
  # Acknowledgements
  
  Special thanks 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.
  
  