EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing

EERA-KWS: A 163 TOPS/W Always-on Keyword Spotting Accelerator in 28nm CMOS Using Binary Weight Network and Precision Self-Adaptive Approximate Computing

This paper proposed an energy-efficient reconfigurable accelerator for keyword spotting (EERA-KWS) based on binary weight network (BWN) and fabricated in 28-nm CMOS technology. This keyword spotting system consists of two parts: the feature extraction based on melscale frequency cepstral coefficient...

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Bibliographic Details
Main Authors: BO Liu, ZHEN Wang, HU Fan, JING Yang, WENTAO Zhu, LEPENG Huang, YU Gong, WEI Ge, LONGXING Shi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Keyword spotting
binary weight network
approximate computing
Online Access:https://ieeexplore.ieee.org/document/8743369/

Internet

https://ieeexplore.ieee.org/document/8743369/

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