readme: ---
  language:
  - is
  library_name: nemo
  datasets:
  - samromur
  - samromur_children
  - malromur
  - althingi
  thumbnail: null
  tags:
  - automatic-speech-recognition
  - speech
  - audio
  - CTC
  - pytorch
  - NeMo
  - QuartzNet
  - QuartzNet15x5
  - icelandic
  license: cc-by-4.0
  widget:
  model-index:
  - name: stt_is_quartznet15x5_ft_ep56_875h
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Samrómur (Test)
        type: language-and-voice-lab/samromur_asr
        split: test
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 28.56
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Samrómur (Dev)
        type: language-and-voice-lab/samromur_asr
        split: validation
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 25.10
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Samrómur Children (Test)
        type: language-and-voice-lab/samromur_children
        split: test
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 32.51
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Samrómur Children (Dev)
        type: language-and-voice-lab/samromur_children
        split: validation
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 21.99
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Malrómur (Test)
        type: language-and-voice-lab/malromur_asr
        split: test
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 22.88
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Malrómur (Dev)
        type: language-and-voice-lab/malromur_asr
        split: validation
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 22.82
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Althingi (Test)
        type: language-and-voice-lab/althingi_asr
        split: test
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 20.74  
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Althingi (Dev)
        type: language-and-voice-lab/althingi_asr
        split: validation
        args: 
          language: is
      metrics:
      - name: WER
        type: wer
        value: 20.68
  ---
  
  # stt_is_quartznet15x5_ft_ep56_875h
  
  **NOTE! This model was trained with the NeMo version: nemo-toolkit==1.10.0**
  
  The "stt_is_quartznet15x5_ft_ep56_875h" is an acoustic model created with NeMo which is suitable for Automatic Speech Recognition in Icelandic. 
  
  It is the result of fine-tuning the model ["QuartzNet15x5Base-En.nemo"](https://catalog.ngc.nvidia.com/orgs/nvidia/models/nemospeechmodels/files) with around 875 hours of Icelandic data developed by the [Language and Voice Laboratory](https://huggingface.co/language-and-voice-lab). Most of the data is available at public repositories such as [LDC](https://www.ldc.upenn.edu/) or [OpenSLR](https://openslr.org/)
  
  The specific list of corpora used to fine-tune the model is:
  
  - [Samrómur 21.05 (114h34m)](http://www.openslr.org/112/)
  - [Samrómur Children (127h25m)](https://catalog.ldc.upenn.edu/LDC2022S11)
  - [Malrómur (119hh03m)](https://clarin.is/en/resources/malromur/)
  - [Althingi Parliamentary Speech (514h29m)](https://catalog.ldc.upenn.edu/LDC2021S01)
  	
  The fine-tuning process was performed during September (2022) in the servers of the Language and Voice Laboratory (https://lvl.ru.is/) at Reykjavík University (Iceland) by Carlos Daniel Hernández Mena.
  
  ```bibtex
  @misc{mena2022quartznet15x5icelandic,
        title={Acoustic Model in Icelandic: stt_is_quartznet15x5_ft_ep56_875h.}, 
        author={Hernandez Mena, Carlos Daniel},
        year={2022},
        url={https://huggingface.co/carlosdanielhernandezmena/stt_is_quartznet15x5_ft_ep56_875h},
  }
  ```
  
  # 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.
  