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Neural ODE with Temporal Convolution and Time Delay Neural Networks for Small-Footprint Keyword Spotting

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Document pages: 5 pages

Abstract: In this paper, we propose neural network models based on the neural ordinarydifferential equation (NODE) for small-footprint keyword spotting (KWS). Wepresent techniques to apply NODE to KWS that make it possible to adopt BatchNormalization to NODE-based network and to reduce the number of computationsduring inference. Finally, we show that the number of model parameters of theproposed model is smaller by 68 than that of the conventional KWS model.

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