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@@ -25,7 +25,7 @@ metrics:
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  This repository provides all the necessary tools to perform command recognition with SpeechBrain using a model pretrained on Google Speech Commands.
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  You can download the dataset [here](https://www.tensorflow.org/datasets/catalog/speech_commands)
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- The dataset is primary provides small training, validation, and test sets useful for detecting single keywords in short audio clips. The provided system can recognize the following 12 keywords:
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  -'yes'
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  -'no'
@@ -49,7 +49,7 @@ For a better experience, we encourage you to learn more about
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  ## Pipeline description
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- This system is composed of a TDNN model coupled with statistical pooling. A classifier, trained with Categorical Cross-Entropy Loss, is applied on the top of that.
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  ## Install SpeechBrain
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@@ -142,7 +142,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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- howpublished = {\\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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  This repository provides all the necessary tools to perform command recognition with SpeechBrain using a model pretrained on Google Speech Commands.
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  You can download the dataset [here](https://www.tensorflow.org/datasets/catalog/speech_commands)
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+ The dataset provides small training, validation, and test sets useful for detecting single keywords in short audio clips. The provided system can recognize the following 12 keywords:
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  -'yes'
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  -'no'
 
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  ## Pipeline description
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+ This system is composed of a TDNN model coupled with statistical pooling. A classifier, trained with Categorical Cross-Entropy Loss, is applied on top of that.
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  ## Install SpeechBrain
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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+ howpublished = {\\\\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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