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

نویسندگان

  • Noriko Okada
  • Mitsunori Miki
  • Tomoyuki Hiroyasu
  • Masato Yoshimi
چکیده

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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تاریخ انتشار 2010