readme: ---
  language: gsw
  tags:
  - hf-asr-leaderboard
  - robust-speech-event
  widget:
  - example_title: swiss parliament sample 1
    src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/07e73bcaa2ab192aea9524d72db45f34f274d1b3d5672434c462d32d44d792be.mp3
  - example_title: swiss parliament sample 2
    src: https://huggingface.co/manifoldix/xlsr-sg-lm/resolve/main/14a2f855363920f111c7b30e8632c19e5f340ab5031e1ed2621db39baf452ae0.mp3
  model-index:
  - name: XLS-R-1b Wav2Vec2 Swiss German
    results:
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      metrics:
      - name: Test WER on Swiss parliament
        type: wer
        value: 34.6%
      - name: Test WER on Swiss dialect test set
        type: wer
        value: 40%
  ---
  
  
  ## XLSR-1b Swiss German
  Fine-tuned on the Swiss parliament dataset from FHNW v1 (70h).
  
  Tested on the Swiss parliament test set with a WER of 34.6%
  
  Tested on the "Swiss German Dialects" with a WER of 40%
  
  Both test sets can be accessed here: [fhnw_datasets](https://www.cs.technik.fhnw.ch/i4ds-datasets)
  
  The Swiss German dialect private test set has been uploaded on huggingface: [huggingface_swiss_dialects](https://huggingface.co/datasets/manifoldix/swg_parliament_fhnw)