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Visualising European Crime Fiction →

Big Data for Musicology

Posted on February 9, 2015 by Tillman Weyde

Digital music libraries and collections are growing quickly and are increasingly made available for research. We feel that the use of large data collections need 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 and in addition to create and adapt the necessary technological infrastructure, to find way of working with legal limitations and to collect large scale data. Most of the necessary basic technologies exist, but they need to be brought together and applied to musicology.

We would like to talk about challenges from a digital humanities perspective and  discuss methods and solutions that can enrich music research and make good use of existing and new data collections.

In that context we would like to present for discussion our ongoing work in our AHRC projects with the British Library (Digital Music Lab with data visualisations and ASyMMus) and the Spot the Odd Song Out game.

 

Categories: Collaboration, Data Mining, Games, Libraries, Linked Data, Metadata, Open Access, Research Methods, Session Proposals, Session: Talk, Visualizations |

About Tillman Weyde

I am an academic working on Big Data and AI for Music and Media Analysis and Retrieval. I am the PI of the current AHRC funded project Digital Music Lab.
View all posts by Tillman Weyde →
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