Update README.md

README.md

@@ -168,6 +168,11 @@ print(prediction)
 # The identified language ISO code is given in prediction[3]
 print(prediction[3])
   ['th']
+  
+# Alternatively, use the utterance embedding extractor:
+emb =  language_id.encode_batch(signal_resampled)
+print(emb.shape)
+  torch.Size([1, 1, 256])
 ```
 
 #### Limitations and bias
@@ -205,7 +210,7 @@ Error rate: 6% on the development dataset
 ```bibtex
 @inproceedings{valk2021slt,
   title={{VoxLingua107}: a Dataset for Spoken Language Recognition},
-  author={J{\"o}rgen Valk and Tanel Alum{\"a}e},
+  author={J{\\"o}rgen Valk and Tanel Alum{\\"a}e},
   booktitle={Proc. IEEE SLT Workshop},
   year={2021},
 }