[TEXT] MSD-A
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 |
[TEXT] MSD-A
The MSD-A is a dataset related to the Million Song Dataset (MSD). It is a collection of artist tags and biographies gathered from Last.fm for all the artists that have songs in the MSD.
In addition, we provide the data splits, feature embeddings, and models to reproduce the experiments from the paper:
Oramas S., Nieto O., Sordo M., & Serra X. (2017) A Deep Multimodal Approach for Cold-start Music Recommendation. https://arxiv.org/abs/1706.09739
Downloads
MSD-Taste triplets for artists and track ids
Tartarus: Library for deep learning experiments https://github.com/sergiooramas/tartarus