Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

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Deploying energy-efficient deep neural networks on energy-constrained edge devices is an important research topic in both machine learning and circuit design communities. Both artificial neural networks (ANNs) and spiking neural networks (SNNs) have been p ...

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Low-rank and sparse subspace modeling of speech for DNN based acoustic modeling

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