Update README.md

README.md

@@ -38,13 +38,6 @@ N blocks of convolutional neural networks with normalization and pooling on the
 frequency domain. Then, a bidirectional LSTM is connected to a final DNN to obtain
 the final acoustic representation that is given to the CTC and attention decoders.
 
-## Intended uses & limitations
-
-This model has been primarily developed to be run within SpeechBrain as a pretrained ASR model
-for the Italian language. Thanks to the flexibility of SpeechBrain, any of the 2 blocks
-detailed above can be extracted and connected to your custom pipeline as long as SpeechBrain is
-installed.
-
 ## Install SpeechBrain
 
 First of all, please install SpeechBrain with the following command:
@@ -80,7 +73,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
     year = {2021},
     publisher = {GitHub},
     journal = {GitHub repository},
-    howpublished = {\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
+    howpublished = {\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
   }
 ```