Update README.md

README.md

@@ -33,9 +33,9 @@ The performance of the model is the following:
 ## Pipeline description
 
 This ASR system is composed of 2 different but linked blocks:
-1. Tokenizer (unigram) that transforms words into subword units and trained with
+- Tokenizer (unigram) that transforms words into subword units and trained with
 the train transcriptions (train.tsv) of CommonVoice (IT).
-2. Acoustic model (CRDNN + CTC/Attention). The CRDNN architecture is made of
+- Acoustic model (CRDNN + CTC/Attention). The CRDNN architecture is made of
 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.
@@ -75,7 +75,7 @@ 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}},
   }
 ```