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Author Kroher, Nadine ♦ Daz-Bez, Jos-Miguel ♦ Mora, Joaquin ♦ Gmez, Emilia
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Research corpus ♦ Computational ethnomusicology ♦ Flamenco
Abstract Flamenco is a music tradition from Southern Spain that attracts a growing community of enthusiasts around the world. Its unique melodic and rhythmic elements, the typically spontaneous and improvised interpretation, and its diversity regarding styles make this still largely undocumented art form a particularly interesting material for musicological studies. In prior works, it has already been demonstrated that research on computational analysis of flamenco music, despite it being a relatively new field, can provide powerful tools for the discovery and diffusion of this genre. In this article, we present $\textit{corpusCOFLA},$ a data framework for the development of such computational tools. The proposed collection of audio recordings and metadata serves as a pool for creating annotated subsets that can be used in development and evaluation of algorithms for specific music information retrieval tasks. First, we describe the design criteria for the corpus creation and then provide various examples of subsets drawn from the corpus. We showcase possible research applications in the context of computational study of flamenco music and give perspectives regarding further development of the corpus.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-05-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 9
Issue Number 2
Page Count 21
Starting Page 1
Ending Page 21

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Source: ACM Digital Library