Title :
Melody classification using EM algorithm
Author :
Yoshihara, Yukiteru ; Miura, Takao
Author_Institution :
Dept.of Electr. & Electron. Eng., Hosei Univ., Tokyo, Japan
Abstract :
In this investigation we propose a novel technique to classify melodies by using EM algorithm. Here we generate classifiers based on naive Bayesian technique during FM steps. And we discuss the experimental results with several features of melodies and show we can get efficient classifiers by our approach.
Keywords :
Bayes methods; feature extraction; music; pattern classification; signal classification; EM algorithm; melody classification; melody features; naive Bayes; naive Bayesian technique; Application software; Classification algorithms; Computer applications; Software algorithms; EM Algorithm; Melody Classification; Melody Features; Naive Bayes;
Conference_Titel :
Computer Software and Applications Conference, 2005. COMPSAC 2005. 29th Annual International
Print_ISBN :
0-7695-2413-3
DOI :
10.1109/COMPSAC.2005.98
