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To Wake-up or Not to Wake-up: Reducing Keyword False Alarm by Successive Refinement
We show that existing deep keyword spotting mechanisms can be improved by Successive Refinement, where the system first classifies whether the input audio is speech or not, followed by whether the input is keyword-like or not, and finally classifies which keyword was uttered.
A Machine Learning Framework for Distributed Functional Compression over Wireless Channels in IoT
IoT devices generating enormous data and state-of-the-art machine learning techniques together will revolutionize cyber-physical systems.
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