Searching for Metric Structure of Musical Files

Authors:
Bozena Kostek;Jaroslaw Wojcik;Piotr Szczuko
Affiliations:
Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk, Poland;Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk, Poland;Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk, Poland
Venue:
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Year:
2007

Citing 3
Cited 1

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Abstract

The aim of this paper is to compare the effectiveness of various computational intelligence approaches applied to the task of retrieving musical rhythm from musical symbolic files. The study presented in this paper describes how Artificial Neural Networks and Rough Sets can be used for searching the metric structure of musical files. The described approaches are based on examining physical attributes of sound that are most significant in determining the placement of a particular sound in the accented location of a musical piece. The results of the experiments show that the approach based solely on duration is sufficient enough to retrieve the metric structure of rhythm from musical files.