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README.md
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@@ -168,7 +168,7 @@ print(prediction[3])
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['th']
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# Alternatively, use the utterance embedding extractor:
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emb = language_id.encode_batch(
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print(emb.shape)
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torch.Size([1, 1, 256])
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```
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@@ -208,7 +208,7 @@ Error rate: 7% 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{
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booktitle={Proc. IEEE SLT Workshop},
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year={2021},
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}
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['th']
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# Alternatively, use the utterance embedding extractor:
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emb = language_id.encode_batch(signal)
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print(emb.shape)
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torch.Size([1, 1, 256])
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```
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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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