An energy-efficient voice activity detector using deep neural networks and approximate computing
Author:
Funder
National Science and Technology Major Project
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Engineering
Reference22 articles.
1. A 90 nm cmos, 6 μw power-proportional acoustic sensing frontend for voice activity detection;Badami;IEEE J. Solid State Circ.,2016
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