loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Alberto García-Durán 1 ; Jerónimo Arenas-García 1 ; Darío García-García 2 and Emilio Parrado-Hernández 1

Affiliations: 1 Universidad Carlos III de Madrid, Spain ; 2 Australian National University, Australia

Keyword(s): Genre classification, HMMs, Dynamical features, Music retrieval.

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.118.144.199

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 250-256. DOI: 10.5220/0003859002500256

@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 1: ICPRAM},
year={2012},
pages={250-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003859002500256},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - MUSIC GENRE CLASSIFICATION BASED ON DYNAMICAL MODELS
SN - 978-989-8425-99-7
IS - 2184-4313
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
PB - SciTePress