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Frame_VAD_Multilingual_MarbleNet_v2.0

Voice Activity Detection
NeMo
PyTorch
ONNX
Multilingual
MarbleNet
speech
audio
VAD
onnxruntime
Model card Files Community
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@@ -155,4 +155,4 @@ Around 182 hours of multilingual (Chinese, English) audio data <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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- For more detailed information on ethical considerations for this model, please see the Model Card++ [Explainability](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/explainability.md), [Bias](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/bias.md), [Safety & Security](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/safety.md), and [Privacy](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/privacy.md) Subcards [here](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main). Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
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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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+ For more detailed information on ethical considerations for this model, please see the Model Card++ [Explainability](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/explainability.md), [Bias](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/bias.md), [Safety & Security](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/safety.md), and [Privacy](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/blob/main/privacy.md) Subcards [here](https://huggingface.co/nvidia/Frame_VAD_Multilingual_MarbleNet_v2.0/tree/main). Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).