Update README.md

README.md

@@ -32,10 +32,10 @@ SpeechBrain. For a better experience we encourage you to learn more about
 ## Pipeline description
 
 This ASR system is composed with 3 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 of LibriSpeech.
-2. Neural language model (RNNLM) trained on the full 10M words dataset.
-3. Acoustic model (CRDNN + CTC/Attention). The CRDNN architecture is made of
+- Neural language model (RNNLM) trained on the full 10M words dataset.
+- Acoustic model (CRDNN + CTC/Attention). The CRDNN architecture is made of
 N blocks of convolutional neural networks with normalisation 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.
@@ -76,7 +76,7 @@ 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}},
   }
 ```