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-Reference-Cited by-同舟云学术

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

Published:2019-06 Issue:6 Volume:54 Page:1764-1777
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Yang Minhao^ORCID,Yeh Chung-Heng,Zhou Yiyin^ORCID,Cerqueira Joao P.^ORCID,Lazar Aurel A.^ORCID,Seok Mingoo^ORCID

Funder

Swiss National Science Foundation (SNSF) Early Postdoc Mobility Fellowship

Columbia University

Air Force Office of Scientific Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/8721577/08693834.pdf?arnumber=8693834

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