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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/3952

タイトル: A proposal of alarm sound recognition system for the medical instrument
著者: Nishikage, Toshihiro
Takeda, Fumiaki
Shiraishi, Yuhki
キーワード: artificial sound recognition
neural network
digital signal processor
発行日: Nov-2005
出版者: JAIST Press
抄録: In this paper, an alarm sound recognition system of medical instruments is proposed. The difference between existing methods and the proposed method is as below: In the proposed method, the static method is used for recognition, but the dynamical method is used for recognition in existing method. Because the specification of artificial sounds such as alarm is very simple. We show abilities of the proposed method by computer simulation. Then, we propose the recognition system of alarm sounds using digital signal processor, in which neural networks are employed as the classifier. We develop the real-time alarm recognition system with the appropriate pre-processing using acoustic pressure waveform, and make some recognition experiments using real alarm sounds. The results of the experiments reveal that the system can effectively resist the interference of noise and correctly recognize the pattern of alarm sounds with low cost.
記述: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2162, Kobe, Japan
Symposium 3, Session 8 : Intelligent Information Technology and Applications Computational Intelligence (2)
言語: ENG
URI: http://hdl.handle.net/10119/3952
ISBN: 4-903092-02-X
出現コレクション:IFSR 2005

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