  We explore Neural Networks (NNs) for keyword spotting (KWS) on IoT devices
like smart speakers and wearables. Since we target to execute our NN on a
constrained memory and computation footprint, we propose a CNN design that. (i)
uses a limited number of multiplies. (ii) uses a limited number of model
parameters.
