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A 005-mm 2 291-nJDecision Keyword-Spotting KWS Chip Featuring an Always-Retentio
一款低功耗、高精度的关键词识别芯片，采用28nm CMOS工艺，实现2.91µW功耗和90%准确率。
28nm CMOS, 2.91µW, 2.91nJ/decision, 2ms/decision, 0.05mm² core area
关键词识别低功耗卷积神经网络SRAM稀疏感知计算
▸快速采样卷积神经网络（FS-CNN）消除高功耗特征提取器并降低决策延迟
▸常保持5T-SRAM通过字电压开关降低漏电功耗，单比特线操作减少SRAM读取功耗
▸高分辨率稀疏感知计算（HR-SAC）单元提升乘加运算精度和输出摆幅
Abstract
This article reports a keyword-spotting (KWS) chip
for voice-controlled devices. It features a number of techniques
to enhance the performance, area, and power efficiencies: 1)
a fast-sampling convolutional neural network (FS-CNN) that
eliminates the power-hungry feature extractors and reduces the
decision latency; 2) an always-retention 5T-SRAM that features
word-voltage switches to reduce the leakage power and single
bitline (BL) operation to halve the SRAM read power compared
to the typical 6