%0 Conference Paper %1 conf/isscc/ChenUYMM22 %A Chen, Feifei %A Un, Ka-Fai %A Yu, Wei-Han %A Mak, Pui-In %A Martins, Rui Paulo %B ISSCC %D 2022 %I IEEE %K dblp %P 1-3 %T 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. %U http://dblp.uni-trier.de/db/conf/isscc/isscc2022.html#ChenUYMM22 %@ 978-1-6654-2800-2

@inproceedings{conf/isscc/ChenUYMM22, added-at = {2022-12-07T00:00:00.000+0100}, author = {Chen, Feifei and Un, Ka-Fai and Yu, Wei-Han and Mak, Pui-In and Martins, Rui Paulo}, biburl = {https://www.bibsonomy.org/bibtex/23160524e3a847213572fee69aca086da/dblp}, booktitle = {ISSCC}, crossref = {conf/isscc/2022}, ee = {https://doi.org/10.1109/ISSCC42614.2022.9731720}, interhash = {a81739ad701aeb77a517d898ee5f7ad0}, intrahash = {3160524e3a847213572fee69aca086da}, isbn = {978-1-6654-2800-2}, keywords = {dblp}, pages = {1-3}, publisher = {IEEE}, timestamp = {2024-04-09T20:43:16.000+0200}, 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.}, url = {http://dblp.uni-trier.de/db/conf/isscc/isscc2022.html#ChenUYMM22}, year = 2022 }