The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on Voice Command Learning of Smart Toy using Convolutional Neural Network

합성곱 신경망을 이용한 스마트 토이의 음성명령 학습에 관한 연구

  • Lee, Kyung-Min (Dept. of Electrical Engineering, Gangneung-Wonju National University) ;
  • Park, Chul-Won (Dept. of Electrical Engineering, Gangneung-Wonju National University)
  • Received : 2018.05.30
  • Accepted : 2018.08.06
  • Published : 2018.09.01
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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

References

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