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An approach which efficiently segments Irish Traditional Music into its constituent structural segments is presented. The complexity of the segmentation process is greatly increased due to melodic variation existent within this music type. In order to deal with these variations, a novel method using ‘set accented tones’ is introduced. The premise is that these tones are less susceptible to variation than all other tones. Thus, the location of the accented tones is estimated and pitch information is extracted at these specific locations. Following this, a vector containing the pitch values is used to extract similar patterns using heuristics specific to Irish Traditional Music. The robustness of the approach is evaluated using a set of commercially available Irish Traditional recordings.
Author (s): Coyle, Eugene;
Dorran, David;
Gainza, Mikel;
Kelly, Cillian;
Affiliation:
Dublin Institute of Technology
(See document for exact affiliation information.)
AES Convention: 124
Paper Number:7423
Publication Date:
2008-05-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Coyle, Eugene; Dorran, David; Gainza, Mikel; Kelly, Cillian; 2008; Structural Segmentation of Music Using Set Accented Tones [PDF]; Dublin Institute of Technology; Paper 7423; Available from: https://aes.org/publications/elibrary-page/?id=14553
Coyle, Eugene; Dorran, David; Gainza, Mikel; Kelly, Cillian; Structural Segmentation of Music Using Set Accented Tones [PDF]; Dublin Institute of Technology; Paper 7423; 2008 Available: https://aes.org/publications/elibrary-page/?id=14553
@inproceedings{Coyle2008structural,
title={{Structural Segmentation of Music Using Set Accented Tones}},
author={Coyle, Eugene and Dorran, David and Gainza, Mikel and Kelly, Cillian},
year={2008},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7423; AES Convention 124; May 2008},
number={7423},
organization={AES},
}
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