MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS

Alberto García-Durán, Jerónimo Arenas-García, Darío García-García, Emilio Parrado-Hernández

2012

Abstract

This paper studies several alternatives to extract dynamical features from hidden Markov Models (HMMs) that are meaningful for music genre supervised classification. Songs are modelled using a three scale approach: a first stage of short term (milliseconds) features, followed by two layers of dynamical models: a multivariate AR that provides mid term (seconds) features for each song followed by an HMM stage that captures long term (song) features shared among similar songs. We study from an empirical point of view which features are relevant for the genre classification task. Experiments on a database including pieces of heavy metal, punk, classical and reggae music illustrate the advantages of each set of features.

Paper Citation

in Harvard Style

García-Durán A., Arenas-García J., García-García D. and Parrado-Hernández E. (2012). MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 250-256. DOI: 10.5220/0003859002500256

in Bibtex Style

@conference{icpram12,
author={Alberto García-Durán and Jerónimo Arenas-García and Darío García-García and Emilio Parrado-Hernández},
title={MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={250-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003859002500256},
isbn={978-989-8425-99-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS
SN - 978-989-8425-99-7
AU - García-Durán A.
AU - Arenas-García J.
AU - García-García D.
AU - Parrado-Hernández E.
PY - 2012
SP - 250
EP - 256
DO - 10.5220/0003859002500256