Update README.md

README.md

@@ -145,11 +145,9 @@ information about the dataset, see [here](http://bark.phon.ioc.ee/voxlingua107/)
 import torchaudio
 from speechbrain.pretrained import EncoderClassifier
 language_id = EncoderClassifier.from_hparams(source="TalTechNLP/voxlingua107-epaca-tdnn", savedir="tmp")
-# Download Thai language sample from Omniglot
-signal, fs = torchaudio.load("https://omniglot.com/soundfiles/udhr/udhr_th.mp3")
-# Resample to 16000 and convert to mono by taking only the left channel
-signal_resampled = torchaudio.transforms.Resample(fs, 16000)(signal)[0]
-prediction =  language_id.classify_batch(signal_resampled)
+# Download Thai language sample from Omniglot and cvert to suitable form
+signal = language_id.load_audio("https://omniglot.com/soundfiles/udhr/udhr_th.mp3")
+prediction =  language_id.classify_batch(signal)
 print(prediction)
   (tensor([[0.3210, 0.3751, 0.3680, 0.3939, 0.4026, 0.3644, 0.3689, 0.3597, 0.3508,
            0.3666, 0.3895, 0.3978, 0.3848, 0.3957, 0.3949, 0.3586, 0.4360, 0.3997,
@@ -210,7 +208,7 @@ Error rate: 7% 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},
 }