DocumentCode
3299531
Title
Music Note Recognition Based on Neural Networks
Author
Youssef, Khalid ; Woo, Peng-Yung
Author_Institution
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL
Volume
2
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
474
Lastpage
478
Abstract
A new design of a music note recognition system based on time delay neural networks, self organizing maps, and linear vector quantization is proposed in this paper, and the general designs of two possible applications based on this system are illustrated.
Keywords
acoustic signal processing; delays; music; pattern recognition; self-organising feature maps; vector quantisation; linear vector quantization; music note recognition; neural networks; self organizing maps; time delay; Computer networks; Delay effects; Frequency; Instruments; Music information retrieval; Neural networks; Self organizing feature maps; Signal processing; Vector quantization; Writing; Linear Vector Quantization; Note Recognition; Self Organizing Maps; Time Delay Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.831
Filename
4667040
Link To Document