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@@ -40,13 +40,6 @@ N blocks of convolutional neural networks with normalisation and pooling on the
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  frequency domain. Then, a bidirectional LSTM is connected to a final DNN to obtain
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  the final acoustic representation that is given to the CTC and attention decoders.
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- ## Intended uses & limitations
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-
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- This model has been primilarly developed to be run within SpeechBrain as a pretrained ASR model
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- for the english language. Thanks to the flexibility of SpeechBrain, any of the 3 blocks
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- detailed above can be extracted and connected to you custom pipeline as long as SpeechBrain is
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- installed.
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-
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  ## Install SpeechBrain
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  First of all, please install SpeechBrain with the following command:
@@ -83,7 +76,7 @@ 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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  frequency domain. Then, a bidirectional LSTM is connected to a final DNN to obtain
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  the final acoustic representation that is given to the CTC and attention decoders.
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  ## Install SpeechBrain
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  First of all, please install SpeechBrain with the following command:
 
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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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