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. 18th International Society for Music Information Retrieval Conference (ISMIR17)
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
UbicaLab |
Wireless Networking |
Educational Technologies |
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. 18th International Society for Music Information Retrieval Conference (ISMIR17)
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. 18th International Society for Music Information Retrieval Conference (ISMIR17)
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.
Additional material:
- Freesound datasets web https://datasets.freesound.org/
- GitHub https://github.com/MTG/freesound-datasets/
- Open access version at UPF e-repository