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Big Data for Musicology

Weyde, T, Cottrell, S, Dykes, J, Benetos, E, Wolff, D, Tidhar, D, Kachkaev, A, Plumbley, M, Dixon, S, Barthet, M , Gold, N, Abdallah, S, Alancar-Brayner, A, Mahey, M and Tovell, A (2014) Big Data for Musicology In: Proceedings of the 1st International Workshop on Digital Libraries for Musicology (DLfM 2014), 2014-09-12 - 2014-09-12.

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Digital music libraries and collections are growing quickly and are increasingly made available for research. We argue that the use of large data collections will enable a better understanding of music performance and music in general, which will benefit areas such as music search and recommendation, music archiving and indexing, music production and education. However, to achieve these goals it is necessary to develop new musicological research methods, to create and adapt the necessary technological infrastructure, and to find ways of working with legal limitations. Most of the necessary basic technologies exist, but they need to be brought together and applied to musicology. We aim to address these challenges in the Digital Music Lab project, and we feel that with suitable methods and technology Big Music Data can provide new opportunities to musicology.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
Weyde, T
Cottrell, S
Dykes, J
Benetos, E
Wolff, D
Tidhar, D
Kachkaev, A
Plumbley, M
Dixon, S
Barthet, M
Gold, N
Abdallah, S
Alancar-Brayner, A
Mahey, M
Tovell, A
Date : 12 September 2014
DOI : 10.1145/2660168.2660187
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 10:53
Last Modified : 31 Oct 2017 17:25

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