A 1μW voice activity detector using analog feature extraction and digital deep neural network. Yang, M., Yeh, C., Zhou, Y., Cerqueira, J. P., Lazar, A. A., & Seok, M. In 2018 IEEE International Solid - State Circuits Conference - (ISSCC), pages 346–348, San Francisco, CA, February, 2018. IEEE.
A 1μW voice activity detector using analog feature extraction and digital deep neural network [link]Paper  doi  bibtex   
@inproceedings{yang_1w_2018,
	address = {San Francisco, CA},
	title = {A 1{μW} voice activity detector using analog feature extraction and digital deep neural network},
	isbn = {978-1-5090-4940-0},
	url = {http://ieeexplore.ieee.org/document/8310326/},
	doi = {10.1109/ISSCC.2018.8310326},
	language = {en},
	urldate = {2019-04-29TZ},
	booktitle = {2018 {IEEE} {International} {Solid} - {State} {Circuits} {Conference} - ({ISSCC})},
	publisher = {IEEE},
	author = {Yang, Minhao and Yeh, Chung-Heng and Zhou, Yiyin and Cerqueira, Joao P. and Lazar, Aurel A. and Seok, Mingoo},
	month = feb,
	year = {2018},
	pages = {346--348}
}
Downloads: 0