The Proceedings of the Symposium on sports and human dynamics
Online ISSN : 2432-9509
2023
Session ID : A-2-1
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Stadium Sound Recognition for Sports Watching Support System
*Masafumi NISHIDARyuken MORIOKATakashi TSUNAKAWA
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Abstract

Research aimed at supporting the daily lives of the hearing-impaired is actively being conducted. However, support targeted at entertainment is inadequate. Therefore, we proposed a system to recognize sounds in the stadium and visualize them with smart glass as a method to support watching sports. However, these conventional studies were not able to obtain a sufficient accuracy in recognizing sounds of the stadium. Therefore, in this study, we propose and evaluate a new method for recognizing the sound of a stadium using a deep neural network. As a result, the proposed method showed improvement in the accuracy of sound recognition in the stadium compared to the conventional method.

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© 2023 The Japan Society of Mechanical Engineers
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