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Nawba Recognition for Arab-Andalusian Music Using Templates From Music Scores
Title | Nawba Recognition for Arab-Andalusian Music Using Templates From Music Scores |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Conference Name | Sound and Music Computing Conference |
Authors | Pretto, N. , Bozkurt B. , Caro Repetto R. , & Serra X. |
Conference Start Date | 04/07/2018 |
Conference Location | Limassol, Cyprus, Greece |
Abstract | The Arab-Andalusian music is performed through nawabat (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 nawabat . 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. |
preprint/postprint document | https://doi.org/10.5281/zenodo.1257388 |