Title :
Positive emotion learning through music listening
Author :
Milicevic, Maden
Author_Institution :
Loyola Marymount Univ., Los Angeles, CA, USA
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;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1202144