KNOWLEDGE-BASED MINING OF PATTERNS AND STRUCTURE OF SYMBOLIC MUSIC FILES

Frank Seifert

2010

Abstract

To date, there are no systems that can identify symbolic music in a generic way. That is, it should be possible to associate the countless potential occurrences of a certain song with at least one generic description. The contribution of this paper is twofold: First, we sketch a generic model for music representation. Second, we develop a framework that correlates free symbolic piano performances with such a knowledge base. Based on detected pattern instances, the framework generates hypotheses for higher-level structures and evaluates them continuously. Thus, one or more hypotheses about the identity of such a music performance should be delivered and serve as a starting point for further processing stages. Finally, the framework is tested on a database of symbolic piano music.

References

  1. Bello, J. P., 2009. Grouping Recorded Music By Structural Similarity. In Proceedings of ISMIR, Kobe, Japan.
  2. Dowling, W. J., Harwood, D. L., 1986. Music Cognition, Academic Press.
  3. Miotto, R., Orio, N., 2008. A Music Identification System Based on Chroma Indexing and Statistical Modeling. In Proceedings of ISMIR, Philadelphia, USA.
  4. Mohri, M., Moreno, P., Weinstein, E., 2007. Robust Music Identification, Detection, and Analysis. In Proceedings of ISMIR, Vienna, Austria.
  5. Montecchio, N., Orio, N., 2009. A Discrete Filter Bank Approach to Audio to Score Matching for Polyphonic Music. In Proceedings of ISMIR, Kobe, Japan.
  6. Pearce, M. T., Müllensiefen, D., Wiggins, G. A., 2008. A Comparison of Statistical and Rule-Based Models of Melodic Segmentation. In Proceedings of ISMIR, Philadelphia, USA.
Download


Paper Citation


in Harvard Style

Seifert F. (2010). KNOWLEDGE-BASED MINING OF PATTERNS AND STRUCTURE OF SYMBOLIC MUSIC FILES . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 358-363. DOI: 10.5220/0003118103580363


in Bibtex Style

@conference{kdir10,
author={Frank Seifert},
title={KNOWLEDGE-BASED MINING OF PATTERNS AND STRUCTURE OF SYMBOLIC MUSIC FILES },
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={358-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003118103580363},
isbn={978-989-8425-28-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - KNOWLEDGE-BASED MINING OF PATTERNS AND STRUCTURE OF SYMBOLIC MUSIC FILES
SN - 978-989-8425-28-7
AU - Seifert F.
PY - 2010
SP - 358
EP - 363
DO - 10.5220/0003118103580363