Dr. Aggelos Gkiokas, Universitat Pompeu Fabra, Barcelona

                           V O R T R A G

Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6/7, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: sec@ofai.at

Dr. Aggelos Gkiokas
Music Technology Group, Universitat Pompeu Fabra, Barcelona, Spain


This talk will present the basic aspects of the TROMPA Project 
(Towards Richer Online Music Public-domain Archives), a recently funded
EU project for enriching public domain classical music archives.
Classical music is one of the greatest treasures of Europe’s cultural
heritage, which is continually (re)interpreted and revitalised through
musical performance. Today, most of the classical repertoire is in the
public domain; massive numbers of scores and recordings are now
available in online community-contributed repositories actively used by
scholars and musicians. Technology offers ways to enrich and
contextualise this repertoire, so that users might better understand and
appreciate it. However, due to varying data quality and scale, this does
not happen automatically for public-domain resources. Amidst a deluge of
data, relevant associations across repositories and modalities (e.g.
from scores to recordings) still have to be made manually, while
insights by previous users are not explicitly stored for future users to
learn from. It is thus impossible to get comprehensive insight into the
full wealth of our musical cultural heritage. TROMPA will change this by
massively enriching and democratising our publicly available musical
heritage through a user-centred co-creation setup. For analysing and
linking music data at scale, the project will employ and improve state-
f-the-art technology. Music-loving citizens (including the large scene
of amateur performers) will cooperate with the technology, giving
feedback on algorithmic results, and annotating the data according to
their personal expertise. Following an open innovation philosophy, all
knowledge derived will be released back to the community in reusable
ways. This enables many uses in applications which directly benefit
crowd contributors and further audiences.


Time: Monday, 3rd of December 2018, 10:00 a.m. sharp

Location: Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien

Univ.-Prof. Ing. Dr. Robert Trappl


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