metadata

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: null
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: 25.1
      - 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: althingi_test
          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: althingi_dev
          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" with around 875 hours of Icelandic data developed by the Language and Voice Laboratory. Most of the data is available at public repositories such as LDC or OpenSLR

The specific list of corpora used to fine-tune the model is:

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.

@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.