June 27, 2022, 1:11 a.m. | Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu

cs.CL updates on arXiv.org arxiv.org

The deep neural networks, such as the Deep-FSMN, have been widely studied for
keyword spotting (KWS) applications. However, computational resources for these
networks are significantly constrained since they usually run on-call on edge
devices. In this paper, we present BiFSMN, an accurate and extreme-efficient
binary neural network for KWS. We first construct a High-frequency Enhancement
Distillation scheme for the binarization-aware training, which emphasizes the
high-frequency information from the full-precision network's representation
that is more crucial for the optimization of the …

arxiv binary network neural network

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