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http://dx.doi.org/10.5370/KIEE.2018.67.9.1210

A Study on Voice Command Learning of Smart Toy using Convolutional Neural Network  

Lee, Kyung-Min (Dept. of Electrical Engineering, Gangneung-Wonju National University)
Park, Chul-Won (Dept. of Electrical Engineering, Gangneung-Wonju National University)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.9, 2018 , pp. 1210-1215 More about this Journal
Abstract
Recently, as the IoT(Internet of Things) and AI(Artificial Intelligence) technologies have developed, smart toys that can understand and act on the language of human beings are being studied. In this paper, we study voice learning using CNN(Convolutional Neural Network) by applying artificial intelligence based voice secretary technology to smart toy. When a human voice command gives, Smart Toy recognizes human voice, converts it into text, analyzes the morpheme, and conducts tagging and voice learning. As a result of test for the simulator program implemented using Python, no malfunction occurred in a single command. And satisfactory results were obtained within the selected simulation condition range.
Keywords
AI; CNN; IoT; Smart toy; Voice command; Voice learning;
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