Title :
A self-organizing map model for analysis of musical time series
Author :
Carpinteiro, Otávio Augusto S
Author_Institution :
Inst. de Engenharia Eletrica, Escola Fed. de Engenharia de Itajuba, Brazil
Abstract :
Proposes a representation for unvoiced musical sequences, and tests experimentally our hierarchical artificial neural model on a musical time series-the third voice of the sixteenth four-part fugue in G minor of the Well-Tempered Clavier (vol. I) of J.S. Bach. The results obtained suggest that the model can perform efficiently on both recognition and discrimination of real musical sequences. It could recognize instances of a referential sequence-the theme of the fugue-in the presence of noise, and could also discriminate those instances out from the entire music
Keywords :
music; pattern classification; self-organising feature maps; sequences; time series; musical time series; referential sequence; self-organizing map model; unvoiced musical sequences; Counting circuits; Displays; Speech recognition; Testing; Time series analysis;
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
DOI :
10.1109/SBRN.1998.731011