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@@ -27,7 +27,7 @@ The system can be used to extract speaker embeddings as well.
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  It is trained on Voxceleb 1+ Voxceleb2 training data.
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  For a better experience, we encourage you to learn more about
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- [SpeechBrain](https://speechbrain.github.io). The given ASR model performance on Voxceleb1-test set are:
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  | Release | EER(%) | minDCF |
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  |:-------------:|:--------------:|:--------------:|
@@ -102,7 +102,7 @@ The SpeechBrain team does not provide any warranty on the performance achieved b
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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- howpublished = {\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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  It is trained on Voxceleb 1+ Voxceleb2 training data.
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  For a better experience, we encourage you to learn more about
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+ [SpeechBrain](https://speechbrain.github.io). The model performance on Voxceleb1-test set(Cleaned) is:
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  | Release | EER(%) | minDCF |
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  |:-------------:|:--------------:|:--------------:|
 
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  year = {2021},
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  publisher = {GitHub},
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  journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/speechbrain/speechbrain}},
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  }
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  ```
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