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1 Ergebnisse
1
A 108nW 0.8mm2 Analog Voice Activity Detector (VAD) Featuri..:
, In:
2022 IEEE International Solid- State Circuits Conference (ISSCC)
,
Chen, Feifei
;
Un, Ka-Fai
;
Yu, Wei-Han
.. - p. 1-3 , 2022
Link:
https://doi.org/10.1109/ISSCC42614.2022.9731720
RT T1 <cTitle>2022 IEEE International Solid- State Circuits Conference (ISSCC)</cTitle>: T1 <Title>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</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9731720&Exemplar=1&LAN=DE A1 Chen, Feifei A1 Un, Ka-Fai A1 Yu, Wei-Han A1 Mak, Pui-In A1 Martins, Rui P. YR 2022 SN 2376-8606 K1 Voice activity detection K1 Wearable computers K1 Neural networks K1 Detectors K1 Feature extraction K1 Sensors K1 Data mining SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/ISSCC42614.2022.9731720 DO https://doi.org/10.1109/ISSCC42614.2022.9731720 SF ELIB - SuUB Bremen
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