readme: ---
  language:
  - da
  license: cc-by-nc-4.0
  tasks:
  - automatic-speech-recognition
  datasets:
  - common_voice_8_0
  metrics:
  - wer
  model-index:
  - name: voxpopuli-wav2vec2-large-cv8-da
    results:
    - task: 
        type: automatic-speech-recognition
      dataset:
        type: mozilla-foundation/common_voice_8_0
        args: da
        name: Danish Common Voice 8.0
      metrics:
        - type: wer
          value: 40.54
    - task: 
        type: automatic-speech-recognition
      dataset:
        type: Alvenir/alvenir_asr_da_eval
        name: Alvenir ASR test dataset
      metrics:
        - type: wer
          value: 40.66
  ---
  
  # VoxPopuli-Wav2vec2-large-CV8-da
  
  ## Model description
  
  This model is a fine-tuned version of the Swedish acoustic model [facebook/wav2vec2-large-sv-voxpopuli](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) on the Danish part of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0), containing ~6 crowdsourced hours of read-aloud Danish speech.
  
  
  ## Performance
  
  The model achieves the following WER scores (lower is better):
  
  | **Dataset** | **WER without LM** | **WER with 5-gram LM** |
  | :---:   | ---: | ---: |
  | [Danish part of Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/viewer/da/train) | 48.04 | 40.54 |
  | [Alvenir test set](https://huggingface.co/datasets/Alvenir/alvenir_asr_da_eval) | 48.43 | 40.66 |