readme: ---
  language: ro
  tags:
  - audio
  - automatic-speech-recognition
  - voxpopuli-v2
  datasets:
  - voxpopuli
  license: cc-by-nc-4.0
  inference: false
  ---
  
  # Wav2Vec2-base-VoxPopuli-V2
  
  [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained only in **ro** on **17.9k** unlabeled datat of the [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
  
  The model is pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz.
  
  **Note**: This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model for **speech recognition**, a tokenizer should be created and the model should be fine-tuned on labeled text data in **ro**. Check out [this blog](https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) for a more in-detail explanation of how to fine-tune the model. 
  
  **Paper**: *[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
  Learning, Semi-Supervised Learning and Interpretation](https://arxiv.org/abs/2101.00390)*
  
  **Authors**: *Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux* from *Facebook AI*.
  
  See the official website for more information, [here](https://github.com/facebookresearch/voxpopuli/).
  