DocumentCode
395113
Title
Positive emotion learning through music listening
Author
Milicevic, Maden
Author_Institution
Loyola Marymount Univ., Los Angeles, CA, USA
Volume
1
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
125
Abstract
This paper focuses on the need to design a template for an AI system that analyzes computer music and simulates the audience´s emotional reaction. This system may possibly aid computer music composers in creating pieces that are more appealing to the wider audiences. Conceptual design of the proposed system is based on the most recent findings in understanding how the human brain processes musical patterns.
Keywords
adaptive systems; fuzzy systems; learning systems; music; psychology; AI system; composers; computer music; emotional reaction; music listening; musical patterns; positive emotion learning; Acoustic noise; Art; Brain modeling; Cultural differences; Drives; Entropy; Humans; Multiple signal classification; Music; Technological innovation;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1202144
Filename
1202144
Link To Document