DocumentCode
389282
Title
Form recognition for Johann Strauss´s waltz centos based on music features
Author
Liu, Dan ; Zhang, Nai-yao ; Zhu, Han-Cheng
Author_Institution
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume
2
fYear
2002
fDate
2002
Firstpage
800
Abstract
Presents a form recognition method for Johann Strauss\´s waltz centos. In this method, a multilayer process strategy is adopted to make the recognition much more efficient. Three assumptions based on music theory are put forward to simplify the form recognition procedure. In addition, a new structure called "melody tree" is created to capture the essential aspects of melody, which is the most important feature in the form recognition. We have done many experiments on John Strauss\´s, most famous waltz centos to check the validity of this method, and the average correct ratio is 98.21%. This experimental result shows that the presented form recognition method is quite effective.
Keywords
feature extraction; music; Johann Strauss; MIDI; features extraction; form recognition; melody tree; multilayer process strategy; music features; music theory; waltz centos; Art; Automation; Data mining; Instruments; Multiple signal classification; Music; Nonhomogeneous media; Rhythm; Shape; Timbre;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1174492
Filename
1174492
Link To Document