A 108nW 0.8mm<sup>2</sup> Analog Voice Activity Detector (VAD) Featuring a Time-Domain CNN as a Programmable Feature Extractor and a Sparsity-Aware Computational Scheme in 28nm CMOS-Reference-Cited by-同舟云学术

A 108nW 0.8mm² Analog Voice Activity Detector (VAD) Featuring a Time-Domain CNN as a Programmable Feature Extractor and a Sparsity-Aware Computational Scheme in 28nm CMOS

Published:2022-02-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Solid- State Circuits Conference (ISSCC)
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Author:

Chen Feifei¹,Un Ka-Fai¹,Yu Wei-Han¹,Mak Pui-In¹,Martins Rui P.¹

Affiliation:

1. University of Macau,Macau,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9731529/9731102/09731720.pdf?arnumber=9731720

Reference6 articles.

1. 17.2 A 142nW Voice and Acoustic Activity Detection Chip for mm-Scale Sensor Nodes Using Time-Interleaved Mixer-Based Frequency Scanning

2. Context-Aware Hierarchical Information-Sensing in a 6?W 90nm CMOS Voice Activity Detector;badami;ISSCC Dig Tech Papers,2015

3. Feature Learning with Raw-Waveform CLDNNs for Voice Activity Detection

4. A 760-nW, 180-nm CMOS Fully Analog Voice Activity Detection System for Domestic Environment

5. A 1?W Voice Activity Detector Using Analog Feature Extraction and Digital Deep Neural Network;yang;ISSCC Dig Tech Papers,2018

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