README.md

metadata

library_name: nemo
license: mit
language:
  - fa
metrics:
  - wer
pipeline_tag: automatic-speech-recognition
tags:
  - audio
  - speech
  - automatic-speech-recognition
model-index:
  - name: Wav2Vec2 XLS-R 300M Persian (Farsi) by Ali Farokh
    results:
      - task:
          name: Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice fa
          type: common_voice
          args: fa
        metrics:
          - name: Test WER
            type: wer
            value: 32.08

NeMo Conformer Medium Persian (Farsi)

Please refer to Persian ASR for more information about training and using this model.