Classified-chime sound generation support system using an interactive genetic algorithm

Authors:
Noriko Okada;Mitsunori Miki;Tomoyuki Hiroyasu;Masato Yoshimi
Affiliations:
Graduate School of Engineering, Doshisha University, Kyotanabe-shi, Kyoto, Japan;Department of Science and Engineering, Doshisha University, Kyotanabe-shi, Kyoto, Japan;Department of Life and Medical Sciences, Doshisha University, Kyotanabe-shi, Kyoto, Japan;Department of Science and Engineering, Doshisha University, Kyotanabe-shi, Kyoto, Japan
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Year:
2010

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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.