Title :
Music classification applying Prime form and Interval-Class Vector
Author :
Maekaku, T. ; Kasai, Hiroyuki
Author_Institution :
Univ. of Electro-Commun., Tokyo, Japan
Abstract :
This paper proposes music classification considering melody transition for browsing system to recommend tunes depending on users´ preference. Especially, we apply the Prime form and the Interval-Class Vector to Melodies Markov Model proposed in [1].
Keywords :
Markov processes; computational complexity; music; pattern classification; vectors; computational complexity; interval-class vector; melodies Markov model; melody transition; music classification; prime form; user preference; Computational modeling; Markov processes; Music; Probability; Support vector machine classification; Training; Vectors;
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-1361-2
DOI :
10.1109/ICCE.2013.6486906
