readme: ---
  language: ja
  datasets:
  - common_voice
  metrics:
  - cer
  model-index:
  - name: wav2vec2-xls-r-300m finetuned on Japanese Hiragana with no word boundaries
    results:
    - task:
        name: Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: Common Voice Japanese
        type: common_voice
        args: ja
      metrics:
         - name: Test CER
           type: cer
           value: 9.34
  ---
  # Wav2Vec2-XLS-R-300M-Japanese-Hiragana
  Fine-tuned [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on Japanese Hiragana characters using JSUT, JVS, Common Voice, and in-house dataset.
  The sentence outputs do not contain word boundaries. Audio inputs should be sampled at 16kHz.
  
  ## Test Results
  **CER:** 9.34%
  ## Training
  Trained on JSUT, a subset of JVS, train+valid set of Common Voice Japanese, and in-house Japanese dataset. Tested on test set of Common Voice Japanese.