README.md

metadata

language: ru
datasets:
  - SberDevices/Golos
metrics:
  - wer
  - cer
tags:
  - audio
  - automatic-speech-recognition
  - speech
  - xlsr-fine-tuning-week
license: apache-2.0
model-index:
  - name: XLSR Wav2Vec2 Russian by Ivan Bondarenko
    results:
      - task:
          name: Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Sberdevices Golos (crowd)
          type: SberDevices/Golos
          args: ru
        metrics:
          - name: Test WER
            type: wer
            value: 9.85
          - name: Test CER
            type: cer
            value: 2.36
      - task:
          name: Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Sberdevices Golos (farfield)
          type: SberDevices/Golos
          args: ru
        metrics:
          - name: Test WER
            type: wer
            value: 20.64
          - name: Test CER
            type: cer
            value: 5.55

Wav2Vec2-Large-Ru-Golos

Fine-tuned facebook/wav2vec2-large-xlsr-53 on Russian using the Sberdevices Golos. When using this model, make sure that your speech input is sampled at 16kHz.

Citation

If you want to cite this model you can use this:

@misc{bondarenko2022wav2vec2-large-ru-golos,
  title={XLSR Wav2Vec2 Russian by Ivan Bondarenko},
  author={Bondarenko, Ivan},
  publisher={Hugging Face},
  journal={Hugging Face Hub},
  howpublished={\url{https://huggingface.co./bond005/wav2vec2-large-ru-golos}},
  year={2022}
}