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Design of an Always-On Deep Neural Network-Based 1- $\mu$ W Voice Activity Detector Aided with a Customized Software Model for Analog Feature Extraction

IEEE Journal of Solid-State Circuits(2019)

引用 61|浏览75
关键词
Analog signal processing,approximate quantization,bandpass filter (BPF),binarized neural network (BNN),classification,computer-aided design,event driven,feature extraction,full-wave rectifier (FWR),hardware/software co-design,integrate and fire (IAF),Internet of Things (IoT),low-noise amplifier (LNA),machine learning,multilayer perceptron (MLP),ultra-low power (ULP),voice activity detection (VAD),wearable electronics
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