A $1.5\mu\mathrm{W}$ End-to-End Keyword Spotting SoC with Content-Adaptive Frame Sub-Sampling and Fast-Settling Analog Frontend

Author:

SeoI Ji-Hwan1,Yang Heejin1,Rothe Rohit1,Fan Zichen1,Zhang Qirui1,Kim Hun-Seok1,Blaauw David1,Sylvester Dennis1

Affiliation:

1. University of Michigan,Ann Arbor,MI

Publisher

IEEE

Reference6 articles.

1. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks;campos;ICLRE,2018

2. 18\mu W SoC for Near-Microphone Keyword Spotting and Speaker Verification;giraldo;IEEE Symp VLSI Circuits,0

3. An Energy-Efficient Biomedical Signal Processing Platform

4. A 0.19x0.17 mm2 Wireless Neural Recording IC for Motor Prediction with Near-Infrared-Based Power and Data Telemetry;lim;ISSCC,2020

5. 14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS

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