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---
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](https://huggingface.co./facebook/wav2vec2-large-xlsr-53) on Russian using the [Sberdevices Golos](https://huggingface.co./datasets/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:
```bibtex
@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}
}
``` |