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@@ -144,7 +144,7 @@ information about the dataset, see [here](http://bark.phon.ioc.ee/voxlingua107/)
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  ```python
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  import torchaudio
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  from speechbrain.pretrained import EncoderClassifier
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- EncoderClassifier.from_hparams(source="TalTechNLP/voxlingua107-epaca-tdnn", savedir="tmp")
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  # Download Thai language sample from Omniglot
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  signal, fs = torchaudio.load("https://omniglot.com/soundfiles/udhr/udhr_th.mp3")
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  # Resample to 16000 and convert to mono by taking only the left channel
@@ -210,7 +210,7 @@ Error rate: 6% on the development dataset
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  ```bibtex
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  @inproceedings{valk2021slt,
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  title={{VoxLingua107}: a Dataset for Spoken Language Recognition},
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- author={J{\\"o}rgen Valk and Tanel Alum{\\"a}e},
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  booktitle={Proc. IEEE SLT Workshop},
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  year={2021},
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  }
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  ```python
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  import torchaudio
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  from speechbrain.pretrained import EncoderClassifier
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+ language_id = EncoderClassifier.from_hparams(source="TalTechNLP/voxlingua107-epaca-tdnn", savedir="tmp")
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  # Download Thai language sample from Omniglot
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  signal, fs = torchaudio.load("https://omniglot.com/soundfiles/udhr/udhr_th.mp3")
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  # Resample to 16000 and convert to mono by taking only the left channel
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  ```bibtex
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  @inproceedings{valk2021slt,
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  title={{VoxLingua107}: a Dataset for Spoken Language Recognition},
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+ author={J{\\\\"o}rgen Valk and Tanel Alum{\\\\"a}e},
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  booktitle={Proc. IEEE SLT Workshop},
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  year={2021},
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  }