---
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](https://github.com/alifarrokh/persian-asr) for more information about training and using this model.