Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition

Heydarian P, Reiss JD. Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition. In: AES Convention 122. Audio Engineering Society; 2007. Paper 7158. Available from: https://aes.org/publications/elibrary-page/?id=14143

@inproceedings{Heydarian2007_14143,
  author = {Heydarian, Peyman and Reiss, Joshua D.},
  title = {{Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition}},
  booktitle = {AES Convention 122},
  note = {Paper 7158},
  year = {2007},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14143}
}

TY  - CPAPER
TI  - Extraction of Long-Term Rhythmic Structures Using the Empirical Mode Decomposition
AU  - Heydarian, Peyman
AU  - Reiss, Joshua D.
T2  - AES Convention 122
M1  - Paper 7158
PY  - 2007
DA  - 2007/05/06
UR  - https://aes.org/publications/elibrary-page/?id=14143
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -