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@@ -168,6 +168,11 @@ print(prediction)
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  # The identified language ISO code is given in prediction[3]
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  print(prediction[3])
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  ['th']
 
 
 
 
 
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  ```
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  #### Limitations and bias
@@ -205,7 +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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  # The identified language ISO code is given in prediction[3]
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  print(prediction[3])
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  ['th']
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+
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+ # Alternatively, use the utterance embedding extractor:
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+ emb = language_id.encode_batch(signal_resampled)
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+ print(emb.shape)
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+ torch.Size([1, 1, 256])
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  ```
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  #### Limitations and bias
 
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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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  }