README.md

metadata

language: en
datasets:
  - common_voice
  - mozilla-foundation/common_voice_6_0
metrics:
  - wer
  - cer
tags:
  - audio
  - automatic-speech-recognition
  - en
  - hf-asr-leaderboard
  - mozilla-foundation/common_voice_6_0
  - robust-speech-event
  - speech
  - xlsr-fine-tuning-week
license: apache-2.0
model-index:
  - name: XLSR Wav2Vec2 English
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice en
          type: common_voice
          args: en
        metrics:
          - name: Test WER
            type: wer
            value: 19.06
          - name: Test CER
            type: cer
            value: 7.69
          - name: Test WER (+LM)
            type: wer
            value: 14.81
          - name: Test CER (+LM)
            type: cer
            value: 6.84
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Robust Speech Event - Dev Data
          type: speech-recognition-community-v2/dev_data
          args: en
        metrics:
          - name: Dev WER
            type: wer
            value: 27.72
          - name: Dev CER
            type: cer
            value: 11.65
          - name: Dev WER (+LM)
            type: wer
            value: 20.85
          - name: Dev CER (+LM)
            type: cer
            value: 11.01
library_name: transformers

Fine-tuned XLSR-53 large model for speech recognition in English

Fine-tuned facebook/wav2vec2-large-xlsr-53 on English using the train and validation splits of Common Voice 6.1. When using this model, make sure that your speech input is sampled at 16kHz.