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@@ -31,7 +31,7 @@ Use Case: Developers, speech processing engineers, and AI researchers will use i
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  ## References:
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- [1] Jia, Fei, Somshubra Majumdar, and Boris Ginsburg. "MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection." ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. <br>
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  [2] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
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  <br>
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  ## References:
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+ [1] [Jia, Fei, Somshubra Majumdar, and Boris Ginsburg. "MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection." ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021.](https://arxiv.org/abs/2010.13886) <br>
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  [2] [NVIDIA NeMo Toolkit](https://github.com/NVIDIA/NeMo)
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  <br>
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