Title:
|
An open corpus for the computational research of Arab-Andalusian music
|
Author:
|
Caro Repetto, Rafael; Pretto, Niccolò; Chaachoo, Amin; Bozkurt, Baris; Serra, Xavier
|
Abstract:
|
Comunicació presentada a: the 5th International Conference on Digital Libraries for Musicology (DLfM 2018), satèl·lit de l'ISMIR, celebrat el dia 28 de setembre de 2018 a París, França. |
Abstract:
|
In the medieval Islamic territories of the Iberian Peninsula known
as Al-Andalus a unique style of music was formed combining local
practices with Arab sensibilities. After the fall of the last Andalusian
kingdom, this classical repertoire has been preserved to
the present in North African countries. The idiosyncrasies of this
repertoire, which combines musical traits from Western and Eastern
Mediterranean traditions in orchestral and choral settings, as
well as instrumental and vocal solos, deserves an in depth musicological
study, that can benefit from computational tools for corpusdriven
research. On the other hand, the characteristics of this music
poses interesting challenges to MIR methods and therefore offer
new research opportunities to this field. To address these topics,
we present here the first complete release of the corpus for the research
of the Moroccan tradition of Arab-Andalusian music built
in the framework of the CompMusic project. The corpus comprises
three data collections, namely audio recordings, music scores and
lyrics, as well as related annotations and metadata. We also present
a series of Jupyter Notebooks for browsing and retrieving data
from the corpus. Both the corpus and notebooks are completely
open to the research community. |
Abstract:
|
This
work was carried out with the support of the Musical Bridges project,
funded by RecerCaixa. The Andalusian Corpus was created by the
CompMusic project, funded by the European Research Council under
the European Union’s Seventh Framework Program (ERC grant
agreement 267583). |
Subject(s):
|
-Research Corpus -Arab-Andalusian Music |
Rights:
|
© 2018 Association for Computing Machinery
|
Document type:
|
Conference Object Article - Accepted version |
Published by:
|
ACM Association for Computer Machinery
|
Share:
|
|