DocumentCode
3275766
Title
A self-learning musical grammar, or ´associative memory of the second kind´
Author
Kohonen, Teuvo
Author_Institution
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Espoo, Finland
fYear
1989
fDate
0-0 1989
Firstpage
1
Abstract
A context-sensitive generative grammar that learns its production rules automatically from examples and optimizes the length of context for each individual production rule on the basis of conflicts occurring in the source material is described. The grammar has been applied to the generation of new melodic passages and counterpoint according to a certain style. This report describes some of the principal ideas and the work that was done. Music produced by this method generally sounds smooth, continuous, and pleasant.<>
Keywords
content-addressable storage; context-sensitive grammars; learning systems; music; neural nets; associative memory; context-sensitive generative grammar; counterpoint; learning systems; melodic passages; optimization; production rules; self-learning musical grammar; Associative memories; Formal languages; Learning systems; Music; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118552
Filename
118552
Link To Document