Computationally-efficient voice activity detection based on deep neural networks

Voice activity detection (VAD) is among the first preprocessing steps in most speech processing applications. While there are several very low-power analog solutions, the more recent deep neural network (DNN) based solutions have superior VAD performance in even complex noisy backgrounds at the expense of increase in computations. In this paper, we propose a computationally-efficient network archi...