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Classified-Chime Sound Generation Support System Using an Interactive Genetic Algorithm

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Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

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Abstract

This research proposes a chime sound generation support system to readily generate intercom chime sounds that are agreeable to individual persons and to associate the chime sounds with visitors. In the proposed system, an interactive genetic algorithm (IGA) is used. Based on the melodies created by users, chime sounds are automatically generated in accordance with rules. The effectiveness of the proposed system is verified by an experiment using the system.

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Author information

Authors and Affiliations

  1. Graduate School of Engineering, Doshisha University,  

    Noriko Okada

  2. Department of Science and Engineering, Doshisha University,  

    Mitsunori Miki & Masato Yoshimi

  3. Department of Life and Medical Sciences, Doshisha University, 1-3 Tatara Miyakodani Kyotanabe-shi, Kyoto, Japan, 610-0321

    Tomoyuki Hiroyasu

Authors
  1. Noriko Okada
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  2. Mitsunori Miki
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  3. Tomoyuki Hiroyasu
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  4. Masato Yoshimi
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Okada, N., Miki, M., Hiroyasu, T., Yoshimi, M. (2010). Classified-Chime Sound Generation Support System Using an Interactive Genetic Algorithm. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-13232-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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