Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm

IEEE ASSCC 2020

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Bibliographic Details
Main Authors: TEO JINQ HORNG, KARIM ALI ABDELTAWWAB AHMED, ALIOTO,MASSIMO BRUNO
Other Authors: ELECTRICAL AND COMPUTER ENGINEERING
Format: Conference or Workshop Item
Language:English
Published: 2020
Online Access:https://scholarbank.nus.edu.sg/handle/10635/172974
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1729742024-11-15T06:06:27Z Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm TEO JINQ HORNG KARIM ALI ABDELTAWWAB AHMED ALIOTO,MASSIMO BRUNO ELECTRICAL AND COMPUTER ENGINEERING Prof Alioto, Massimo Bruno IEEE ASSCC 2020 United States 2020-08-18T01:03:27Z 2020-08-18T01:03:27Z 2020-07-28 2020-08-10T19:23:16Z Conference Paper TEO JINQ HORNG, KARIM ALI ABDELTAWWAB AHMED, ALIOTO,MASSIMO BRUNO (2020-07-28). Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm. IEEE ASSCC 2020. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/172974 en Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
description IEEE ASSCC 2020
author2 ELECTRICAL AND COMPUTER ENGINEERING
author_facet ELECTRICAL AND COMPUTER ENGINEERING
TEO JINQ HORNG
KARIM ALI ABDELTAWWAB AHMED
ALIOTO,MASSIMO BRUNO
format Conference or Workshop Item
author TEO JINQ HORNG
KARIM ALI ABDELTAWWAB AHMED
ALIOTO,MASSIMO BRUNO
spellingShingle TEO JINQ HORNG
KARIM ALI ABDELTAWWAB AHMED
ALIOTO,MASSIMO BRUNO
Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
author_sort TEO JINQ HORNG
title Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
title_short Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
title_full Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
title_fullStr Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
title_full_unstemmed Voice Activity Detection with >83% Accuracy under SNR down to -3dB at 1.19µW and 0.07mm2 in 40nm
title_sort voice activity detection with >83% accuracy under snr down to -3db at 1.19µw and 0.07mm2 in 40nm
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/172974
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