README.md

metadata

language:
  - da
license: other
datasets:
  - ftspeech
metrics:
  - wer
tasks:
  - automatic-speech-recognition
base_model: facebook/wav2vec2-xls-r-300m
model-index:
  - name: wav2vec2-xls-r-300m-ftspeech
    results:
      - task:
          type: automatic-speech-recognition
        dataset:
          name: Danish Common Voice 8.0
          type: mozilla-foundation/common_voice_8_0
          args: da
        metrics:
          - type: wer
            value: 17.91
      - task:
          type: automatic-speech-recognition
        dataset:
          name: Alvenir ASR test dataset
          type: Alvenir/alvenir_asr_da_eval
        metrics:
          - type: wer
            value: 13.84

XLS-R-300m-FTSpeech

Model description

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the FTSpeech dataset, being a dataset of 1,800 hours of transcribed speeches from the Danish parliament.

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	20.48	17.91
Alvenir test set	15.46	13.84

License

The use of this model needs to adhere to this license from the Danish Parliament.