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Update README.md

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  1. README.md +5 -3
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@@ -4,6 +4,8 @@ tags:
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  - Czech
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  - KKY
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  - FAV
 
 
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  license: "cc-by-nc-sa-4.0"
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  ---
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@@ -27,7 +29,7 @@ More than 80 thousand hours of unlabeled Czech speech:
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  ## Usage
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  Inputs must be 16kHz mono audio files.
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- This model could be used e.g. to extract per-frame contextual embeddings from audio:
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  ```python
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  from transformers import Wav2Vec2Model, Wav2Vec2FeatureExtractor
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  import torchaudio
@@ -67,7 +69,7 @@ If you find this model useful, please cite our paper:
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  Ale\v{s} Pra\v{z}\'ak and
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  Josef V. Psutka
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  },
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- booktitle = {Interspeech 2022},
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  publisher = {{ISCA}},
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  year = {2022},
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  note = {(in press)},
@@ -75,5 +77,5 @@ If you find this model useful, please cite our paper:
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  }
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  ```
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- ## Other papers using this model:
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  - [Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project](https://arxiv.org/abs/2206.07666)
 
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  - Czech
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  - KKY
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  - FAV
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+ datasets:
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+ - mozilla-foundation/common_voice_7_0
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  license: "cc-by-nc-sa-4.0"
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  ---
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  ## Usage
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  Inputs must be 16kHz mono audio files.
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+ This model can be used e.g. to extract per-frame contextual embeddings from audio:
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  ```python
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  from transformers import Wav2Vec2Model, Wav2Vec2FeatureExtractor
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  import torchaudio
 
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  Ale\v{s} Pra\v{z}\'ak and
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  Josef V. Psutka
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  },
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+ booktitle = {{I}nterspeech 2022},
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  publisher = {{ISCA}},
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  year = {2022},
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  note = {(in press)},
 
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  }
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  ```
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+ ## Works using this model
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  - [Transformer-based Automatic Speech Recognition of Formal and Colloquial Czech in MALACH Project](https://arxiv.org/abs/2206.07666)