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Single Cell Training on Architecture Search for Image Denoising
With these modules, then we employ reinforcement learning in search of an optimal image denoising network at a module level.
Discriminatory and orthogonal feature learning for noise robust keyword spotting
In order to train the network for more robust performance in noisy environments, we introduce the LOw Variant Orthogonal (LOVO) loss.
A Lightweight dynamic filter for keyword spotting
Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition.
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