Pretto, NiccolòBozkurt, BarisCaro Repetto, RafaelSerra, Xavier2018-09-182018-09-182018Pretto N, Bozkurt B, Caro Repetto R, Serra X. Nawba recognition for Arab-Andalusian music using templates from music scores. In: Georgaki A, Andreopoulou A, editors. Proceedings of the 15th Sound and Music Computing Conference (SMC2018). Sonic crossing; 2018 Jul 4-7;Limassol, Xipre. Limassol: Cyprus University of Technology; 2018. p. 394-9. DOI: 10.5281/zenodo.1257387978-9963-697-30-42518-3672http://hdl.handle.net/10230/35463Comunicació presentada a: the 15th Sound and Music Computing Conference (SMC2018). Sonic crossing, celebrat a Limassol, Xipre, del 4 al 7 de juliol de 2018.The Arab-Andalusian music is performed through nawab¯at (plural of nawba), suites of instrumental and vocal pieces ordered according to their metrical pattern in a sequence of increasing tempo. This study presents for the first time in literature a system for automatic recognition of nawba for audio recordings of the Moroccan tradition of Arab- Andalusian music. The proposed approach relies on template matching applied to pitch distributions computed from audio recordings. The templates have been created using a data-driven approach, utilizing a score collection categorized into nawab¯at. This methodology has been tested on a dataset of 58 hours of music: a set of 77 recordings in eleven nawab¯at from the Arab-Andalusian corpus collected within the CompMusic project and stored in Dunya platform. An accuracy of 75% on the nawba recognition task is reported using Euclidean distance (L2) as distance metric in the template matching.application/pdfeng© 2018 Niccolò Pretto et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.info:eu-repo/semantics/articlehttp://dx.doi.org/10.5281/zenodo.1257387info:eu-repo/semantics/openAccess