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Update README.md

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@@ -165,6 +165,19 @@ Around 182 hours of multilingual (Chinese, English) audio data <br>
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  * A100 <br>
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  * V100 <br>
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  ## Ethical Considerations
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  NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
 
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  * A100 <br>
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  * V100 <br>
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+ # Performance:
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+ The ROC-AUC performance is listed in the following table. A higher ROC-AUC indicates better performance.
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+ | Eval Dataset | ROC-AUC |
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+ |------------------|----------|
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+ | VoxConverse-test | 96.65 |
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+ | VoxConverse-dev | 97.59 |
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+ | AMI-test | 96.25 |
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+ | Earnings21 | 97.11 |
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+ | AISHELL4-test | 92.27 |
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+ | CH109 | 94.44 |
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+ | AVA-SPEECH | 95.26 |
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+
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  ## Ethical Considerations
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  NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.