Research Publications for Peyman Heydarian
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Heydarian, P., & Bainbridge, D. (2019). Dastgàh recognition in Iranian music: different features and optimized parameters. In Proc 6th International Conference on Digital Libraries for Musicology (DLfM '19) (pp. 53-57). The Hague, Netherlands: ACM Press. doi:10.1145/3358664.3361873
Heydarian, P. (2018). Tonic and Dastgàh recognition in Iranian music. In P. Kudumakis, & S. Dixon (Eds.), DMRN+13: Digital Music Research Network Workshop Proceedings 2018 (pp. 1 page). London, UK.
Heydarian, P. (2016). Automatic recognition of Persian musical modes in audio musical signals. (PhD Thesis, London Metropolitan University).
Heydarian, P., & Jones, L. (2014). Tonic and scale recognition in Persian audio musical signals. In International Conference on Signal Processing Proceedings Vol. 2015-January (pp. 18-21). Hang Zhou, China. doi:10.1109/ICOSP.2014.7014961
Heydarian, P., & Jones, L. (2008). Measurement and calculation of the parameters of santur. Canadian Acoustics - Acoustique Canadienne, 36(3), 86-87. Retrieved from https://jcaa.caa-aca.ca/index.php/jcaa/article/view/2050
Heydarian, P., & Reiss, J. D. (2005). The Persian music and the Santur instrument. In ISMIR 2005 - 6th International Conference on Music Information Retrieval (pp. 524-527). London, UK.
Heydarian, P., & Reiss, J. D. (2005). Extraction of long-term structures in musical signals using the empirical mode decomposition. In Proc 8th International Conference on Digital Audio Effects, DAFx 2005 (pp. 258-261).