APPLICATION OF AN ANT COLONY ALGORITHM - For Song Categorising using Metadata

Nadia Lachetar, Halima Bahi

2011

Abstract

Instead of the expansion of the information retrieval systems, the music information retrieval domain is still an open one. One of the promising areas in this context is the audio indexing databases. This paper addresses the problem of indexing database containing songs to enable their effective exploitation. Since, we are interested with songs databases, it is necessary to exploit the specific structure of the song in with each part plays a specific role. We propose to use the title and the artist particularities (in fact each artist tends to compose or sing a specific genre of music). In this article, we present our experiments in automated song categorisation, where we suggest the use of an ant colony algorithm. A naive Bayes algorithm is used as a baseline in our tests.

References

  1. Chua, B. Y., Lu, G., 2004. Determination of perceptual tempo of music. In CMMR.
  2. Dang, T. T., Shirai, K., 2009. Machine learning approaches for mood classification of songs toward music search engine.
  3. Harb, H., Chen, T., 2003. Cyndi: An indexing engine from the soundtrack by segmentation and semantic extarction keywords. LIRIS, Lyon
  4. Karjalainen, M., Tolonen, T., 1999. Multi-pitch and periodicity analysis model for sound separation and auditory scene analysis. In ICASSP.IEEE, vol. 2, pp. 929-932.
  5. Knees, P., Pohle, T., Schedl, M., Widmer, G., 2000. A music search engine Built upon Audio-based and Web-based similarity Measures. In SIGIR.
  6. Laurier, C., Grivolla, J., Herrera, P., 2008. Multimodal music mood classification using audio and lyrics. ICMALA, pp 668-693
  7. Li, T., Ogihana, M., 2004. Content-based music similarity search and emotion detection.
  8. Liu, D., Lu, L., Zang, H. J., 2003. Automatic mood detection from acoustic music data.
  9. Scheirer, E., Slaney, M., 1997. Construction and evaluation of a robust multifeatures speech/music discriminator. In ICASSP. IEEE, vol.2, pp. 1331-1334.
  10. Sebastiani, F., 2002. Automated text categorization tools, techniques and application. Renne France,.
  11. Solnon, C., 2005. Contribution to the practical problemsolving combinatorial-graph and the ants. Thesis for habilitation research, Claude Bernard University Lion1.
Download


Paper Citation


in Harvard Style

Lachetar N. and Bahi H. (2011). APPLICATION OF AN ANT COLONY ALGORITHM - For Song Categorising using Metadata . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 371-376. DOI: 10.5220/0003631303790384


in Bibtex Style

@conference{kdir11,
author={Nadia Lachetar and Halima Bahi},
title={APPLICATION OF AN ANT COLONY ALGORITHM - For Song Categorising using Metadata},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={371-376},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003631303790384},
isbn={978-989-8425-79-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - APPLICATION OF AN ANT COLONY ALGORITHM - For Song Categorising using Metadata
SN - 978-989-8425-79-9
AU - Lachetar N.
AU - Bahi H.
PY - 2011
SP - 371
EP - 376
DO - 10.5220/0003631303790384