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Long-term musical structures provide information concerning rhythm, melody and the composition. Although highly musically relevant, these structures are difficult to determine using standard signal processing techniques. In this paper, a new technique based on the time-domain empirical mode decomposition is explained. It enables us to analyse the long-term metrical structures in musical signals and provides insight into perceived rhythms and their relationship to the signal. Besides, it decomposes a given signal into its constituent oscillations that can be modified to produce a new version of the signal. The technique is explained, and results are reported and discussed.
Author (s): Heydarian, Peyman;
Reiss, Joshua D.;
Affiliation:
Queen Mary, University of London
(See document for exact affiliation information.)
AES Convention: 122
Paper Number:7158
Publication Date:
2007-05-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Heydarian, Peyman; Reiss, Joshua D.; 2007; Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition [PDF]; Queen Mary, University of London; Paper 7158; Available from: https://aes.org/publications/elibrary-page/?id=14143
Heydarian, Peyman; Reiss, Joshua D.; Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition [PDF]; Queen Mary, University of London; Paper 7158; 2007 Available: https://aes.org/publications/elibrary-page/?id=14143
@inproceedings{Heydarian2007extraction,
title={{Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition}},
author={Heydarian, Peyman and Reiss, Joshua D.},
year={2007},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7158; AES Convention 122; May 2007},
number={7158},
organization={AES},
}
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