Title:
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Nawba recognition for Arab-Andalusian music using templates from music scores
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Author:
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Pretto, Niccolò; Bozkurt, Baris; Caro Repetto, Rafael; Serra, Xavier
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Abstract:
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Comunicació presentada a: the 15th Sound and Music Computing Conference (SMC2018). Sonic crossing, celebrat a Limassol, Xipre, del 4 al 7 de juliol de 2018. |
Abstract:
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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. |
Rights:
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© 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.
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Document type:
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Article Article - Accepted version |
Published by:
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Cyprus University of Technology
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