A depthwise separable convolutional neural network for keyword spotting on an embedded system

Volume: 2020, Issue: 1
Published: Jun 25, 2020
Abstract
A keyword spotting algorithm implemented on an embedded system using a depthwise separable convolutional neural network classifier is reported. The proposed system was derived from a high-complexity system with the goal to reduce complexity and to increase efficiency. In order to meet the requirements set by hardware resource constraints, a limited hyper-parameter grid search was performed, which showed that network complexity could be...
Paper Details
Title
A depthwise separable convolutional neural network for keyword spotting on an embedded system
Published Date
Jun 25, 2020
Volume
2020
Issue
1
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