Update README.md

README.md

@@ -42,13 +42,6 @@ frequency domain. Then, a bidirectional LSTM with projection layers 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 English language. Thanks to the flexibility of SpeechBrain, any of the 3 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:
@@ -86,7 +79,7 @@ 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}},
   }
 ```