Methods for Identification of the Tuning System in Audio Musical Signals

Heydarian P, Jones L, Seago A. Methods for Identification of the Tuning System in Audio Musical Signals. In: AES Convention 125. Audio Engineering Society; 2008. Paper 7515. Available from: https://aes.org/publications/elibrary-page/?id=14667

@inproceedings{Heydarian2008_14667,
  author = {Heydarian, Peyman and Jones, Lewis and Seago, Allan},
  title = {{Methods for Identification of the Tuning System in Audio Musical Signals}},
  booktitle = {AES Convention 125},
  note = {Paper 7515},
  year = {2008},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14667}
}

TY  - CPAPER
TI  - Methods for Identification of the Tuning System in Audio Musical Signals
AU  - Heydarian, Peyman
AU  - Jones, Lewis
AU  - Seago, Allan
T2  - AES Convention 125
M1  - Paper 7515
PY  - 2008
DA  - 2008/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14667
PB  - Audio Engineering Society
LA  - en
AB  - The tuning system is an important aspect of a piece. It specifies the scale intervals and is an indicator of the emotions of a musical file. There is a direct relationship between musical mode and the tuning of a piece for modal musical traditions. So, the tuning system carries valuable information, which is worth incorporating into metadata of a file. In this paper different algorithms for automatic identification of the tuning system are presented and compared. In the training process, spectral and chroma average, and pitch histograms, are used to construct reference patterns for each class. The same is done for the testing samples and a similarity measure like the Manhattan distance classifies a piece into different tuning classes.
ER  -