dc.contributor.author |
Porter, Alastair |
dc.contributor.author |
Serra, Xavier |
dc.date.accessioned |
2018-08-28T08:48:20Z |
dc.date.available |
2018-08-28T08:48:20Z |
dc.date.issued |
2014 |
dc.identifier.citation |
Porter A, Serra X. An Analysis and storage system for music research datasets. In: Proceedings of the 1st International workshop on Digial Libraries for Musicology; 2014 Sept 12; London, UK. London: ACM; 2014. 3 p. DOI: 10.1145/2660168.2660179 |
dc.identifier.isbn |
978-1-4503-3002-2 |
dc.identifier.uri |
http://hdl.handle.net/10230/35396 |
dc.description |
Comunicació presentada al 1st International workshop on Digial Libraries for Musicology, que va tenir lloc el 12 de setembre de 2014 a Longres, Regne Unit. |
dc.description.abstract |
We present a work
ow processing and data storage system
that has been developed to store the computational analysis
of large databases of music-related documents. Documents
can consist of any music-related data, for example, audio
les or symbolic scores. The system can be used to run fea-
ture extraction algorithms to compute new data based on
these input documents. The feature extraction process can
be distributed over many networked computers to reduce
calculation time. Researchers can develop and run their own
algorithms on a collection of music-related documents using
any programming system without needing system adminis-
trator knowledge or direct access to the les, using a web
based interface. Computed features are stored in the sys-
tem along with a reference to the version of the code that
was used to compute it. Audio les and computed features
can be accessed over the internet. This system has been
developed as a supporting part of the CompMusic project,
allowing collaborating researchers to develop new feature ex-
traction algorithms and share them with other researchers.
It has been released under an open-source licence. |
dc.description.sponsorship |
The CompMusic project is funded by the European Research
Council under the European Union's Seventh Framework
Program (ERC grant agreement 267583). |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
ACM Association for Computer Machinery |
dc.relation.ispartof |
Proceedings of the 1st International workshop on Digial Libraries for Musicology; 2014 Sept 12; London, UK. London: ACM; 2014. |
dc.rights |
© 2014 Association for Computing Machinery |
dc.title |
An Analysis and storage system for music research datasets |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.identifier.doi |
http://dx.doi.org/10.1145/2660168.2660179 |
dc.relation.projectID |
info:eu-repo/grantAgreement/EC/FP7/267583 |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |
dc.type.version |
info:eu-repo/semantics/acceptedVersion |