M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok
Design of an Always-On Deep Neural Network Based 1 μW Voice Activity Detector Aided with a Customized Software Model for Analog Feature Extraction
IEEE Journal of Solid-State Circuits , Volume 54 , Number 6 , IEEE , pp. 1764-1777 , June 2019
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D. Wang, S. J. Kim, M. Yang, A. A. Lazar, and M. Seok
A Background-Noise- and Process-Variation-Tolerant 109-nW Acoustic Feature Extractor based on Spike-Domain Divisive Energy Normalization for an Always-on Keyword Spotting Device
2021 IEEE International Solid-State Circuits Conference (ISSCC) , pp. 160-162 , February 2021 , San Francisco, CA, USA
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M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok
A 1μW Voice Activity Detector Using Analog Feature Extraction and Digital Deep Neural Network
2018 IEEE International Solid-State Circuits Conference (ISSCC) , pp. 346-348 , February 11-15 , 2018 , San Francisco, CA
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M. Seok, M. Yang, Z. Jiang, A. A. Lazar, and J. Seo
Cases for Analog-Mixed-Signal Computing Integrated-Circuits for Deep Neural Networks
International Symposium on VLSI Design, Automation, and Test (VLSI-DAT) , April 22-25 , 2019 , Hsinchu, Taiwan
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