Structural Segmentation of Music Using Set Accented Tones

Coyle E, Dorran D, Gainza M, Kelly C. Structural Segmentation of Music Using Set Accented Tones. In: AES Convention 124. Audio Engineering Society; 2008. Paper 7423. Available from: https://aes.org/publications/elibrary-page/?id=14553

@inproceedings{Coyle2008_14553,
  author = {Coyle, Eugene and Dorran, David and Gainza, Mikel and Kelly, Cillian},
  title = {{Structural Segmentation of Music Using Set Accented Tones}},
  booktitle = {AES Convention 124},
  note = {Paper 7423},
  year = {2008},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14553}
}

TY  - CPAPER
TI  - Structural Segmentation of Music Using Set Accented Tones
AU  - Coyle, Eugene
AU  - Dorran, David
AU  - Gainza, Mikel
AU  - Kelly, Cillian
T2  - AES Convention 124
M1  - Paper 7423
PY  - 2008
DA  - 2008/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14553
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -