Art

J-GLOBAL ID：201902261645193726   Reference number：19A1565625

A Kansei-Based Sound Modulation System for Musical Instruments by Using Neural Networks

ニューラルネットワークを用いた楽器用の感性ベースの音響変調システム

Author (3)： Tanaka Daisuke (National Institute of Technology, Niihama College) ,  Suzuki Ryuto (The University of Electro-Communications) ,  Kato Shigeru (National Institute of Technology, Niihama College)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 23  Issue： 3  Page： 437-443(J-STAGE)  Publication year： 2019 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *instrumental acoustics ,  *evaluation ,  signal modulation ,  piano ,  test ,  *model ,  representation
Semi thesaurus term： *neural network model ,  *musical sound ,  *sensibility evaluation ,  verification test ,  linguistic expression ,  modulation(signal)

Author keywords (3)： sound modulation ,  neural network ,  Kansei

JST classification (2)： Artificial intelligence  (JE08000Z) ,  Acoustic signal processing  (BB03050C)

Reference (9)：

• [1] M. Unehara and T. Onisawa, “Music composition system with human evaluation as human centered system,” Soft Computing, Vol.7, No.3, pp. 167-178, 2003.
• [2] M. Nagamachi, “Kansei Engineering: A new ergonomic consumer-oriented technology for product development,” Int. J. of Industrial Ergonomics, Vol.15, No.1, pp. 3-11, 1995.
• [3] H. Takagi, “Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation,” Proc. of the IEEE, Vol.89, No.9, pp. 1275-1296, 2001.
• [4] L. A. Zadeh, “Fuzzy sets,” Information and Control, Vol.8, No.3, pp. 338-353, 1965.
• [5] D. E. Rumelhart, G. E. Hinton, and R. J. Williams, “Learning representations by back-propagating errors,” Nature, Vol.323, pp. 533-536, 1986.

Terms in the title (5)： ニューラルネットワーク ,  楽器 ,  感性 ,  音響 ,  変調