dc.contributor.author |
Fonseca, Eduardo |
dc.contributor.author |
Pons Puig, Jordi |
dc.contributor.author |
Favory, Xavier |
dc.contributor.author |
Font Corbera, Frederic |
dc.contributor.author |
Bogdanov, Dmitry |
dc.contributor.author |
Ferraro, Andrés |
dc.contributor.author |
Oramas, Sergio |
dc.contributor.author |
Porter, Alastair |
dc.contributor.author |
Serra, Xavier |
dc.date.accessioned |
2017-11-21T11:47:37Z |
dc.date.available |
2017-11-21T11:47:37Z |
dc.date.issued |
2017 |
dc.identifier.citation |
Fonseca E, Pons J, Favory X, Font F, Bogdanov D, Ferraro A, Oramas S, Porter A, Serra X. Freesound datasets: a platform for the creation of open audio datasets. In: Hu X, Cunningham SJ, Turnbull D, Duan Z, editors. Proceedings of the 18th ISMIR Conference; 2017 oct 23-27; Suzhou, China. [Canada]: International Society for Music Information Retrieval; 2017. p. 486-93. |
dc.identifier.uri |
http://hdl.handle.net/10230/33299 |
dc.description |
Comunicació presentada al 18th International Society for Music Information Retrieval Conference celebrada a Suzhou, Xina, del 23 al 27 d'cotubre de 2017. |
dc.description.abstract |
Openly available datasets are a key factor in the advancement
of data-driven research approaches, including many
of the ones used in sound and music computing. In the
last few years, quite a number of new audio datasets have
been made available but there are still major shortcomings
in many of them to have a significant research impact.
Among the common shortcomings are the lack of transparency
in their creation and the difficulty of making them
completely open and sharable. They often do not include
clear mechanisms to amend errors and many times they are
not large enough for current machine learning needs. This
paper introduces Freesound Datasets, an online platform
for the collaborative creation of open audio datasets based
on principles of transparency, openness, dynamic character,
and sustainability. As a proof-of-concept, we present
an early snapshot of a large-scale audio dataset built using
this platform. It consists of audio samples from Freesound
organised in a hierarchy based on the AudioSet Ontology.
We believe that building and maintaining datasets following
the outlined principles and using open tools and collaborative
approaches like the ones presented here will have a
significant impact in our research community. |
dc.description.sponsorship |
This work has received funding from the European Union’s
Horizon 2020 research and innovation programme under
grant agreement No 688382 “AudioCommons”, and
from the Maria de Maeztu Units of Excellence Programme
(MDM-2015-0502). |
dc.format.mimetype |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
International Society for Music Information Retrieval (ISMIR) |
dc.relation.ispartof |
Hu X, Cunningham SJ, Turnbull D, Duan Z, editors. Proceedings of the 18th ISMIR Conference; 2017 oct 23-27; Suzhou, China. [Canada]: International Society for Music Information Retrieval; 2017. p. 486-93. |
dc.rights |
© Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra. “Freesound Datasets: A
platform for the creation of open audio datasets”, 18th International Society
for Music Information Retrieval Conference, Suzhou, China, 2017. |
dc.rights.uri |
https://creativecommons.org/licenses/by/4.0/ |
dc.subject.other |
Freesound -- Bases de dades |
dc.title |
Freesound datasets: a platform for the creation of open audio datasets |
dc.type |
info:eu-repo/semantics/conferenceObject |
dc.relation.projectID |
info:eu-repo/grantAgreement/EC/H2020/688382 |
dc.rights.accessRights |
info:eu-repo/semantics/openAccess |
dc.type.version |
info:eu-repo/semantics/publishedVersion |