- Ponce de León, Pedro J.; Iñesta, José M.; Pérez-Sancho, C.
"A shallow description framework for musical style recognition"
Lecture Notes in Computer Science, vol. 3138, pp. 871--879
In the field of computer music, pattern recognition algorithms are very
relevant for music information retrieval (MIR). One challenging task within
this area is the automatic recognition of musical style, that has a number
of applications like indexing and selecting musical databases. In this
paper, the classification of monophonic melodies of two different musical
styles (jazz and classical) represented symbolically as MIDI files is studied, using
different classification methods: Bayesian classifier and nearest neighbour
classifier. From the music sequences, a number of
melodic, harmonic, and rhythmic statistical descriptors are computed and used
for style recognition. We present a performance analysis of such algorithms
against different description models and parameters.
author = "Ponce de León, Pedro J.; Iñesta, José M.; Pérez-Sancho, C.",
title = "A shallow description framework for musical style recognition",
journal = "Lecture Notes in Computer Science",
pages = "871--879",
volume = "3138",
year = "2004"