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add readme

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  1. README.md +22 -2
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  tags:
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- - correct
 
 
 
 
 
 
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  ---
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- Test
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ language: sk
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  tags:
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+ - audio
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+ - automatic-speech-recognition
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+ - voxpopuli
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+ datasets:
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+ - voxpopuli
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+ license: cc-by-nc-4.0
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+ inference: false
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  ---
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+ # Wav2Vec2-base-VoxPopuli
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+ [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) base model pretrained only in **sk** on **12.1k** unlabeled datat of the [VoxPopuli corpus](https://arxiv.org/abs/2101.00390).
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+ The model is pretrained on 16kHz sampled speech audio. When using the model make sure that your speech input is also sampled at 16Khz.
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+ **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 **sk**. 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.
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+ **Paper**: *[VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation
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+ Learning, Semi-Supervised Learning and Interpretation](https://arxiv.org/abs/2101.00390)*
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+ **Authors**: *Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino, Emmanuel Dupoux* from *Facebook AI*.
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+ See the official website for more information, [here](https://github.com/facebookresearch/voxpopuli/).