47 citations · 107 across the 12 of their papers we have counts for
13 papers
Discogs-VI: A Musical Version Identification Dataset Based on Public Editorial Metadata
R. Oguz Araz, Xavier Serra, Dmitry Bogdanov
Current version identification (VI) datasets often lack sufficient size and musical diversity to train robust neural networks (NNs). Additionally, their non-representative clique s…
Efficient Supervised Training of Audio Transformers for Music Representation Learning
Pablo Alonso-Jiménez, Xavier Serra, Dmitry Bogdanov
In this work, we address music representation learning using convolution-free transformers. We build on top of existing spectrogram-based audio transformers such as AST and train o…
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
Pablo Alonso-Jiménez, Xavier Favory, Hadrien Foroughmand +4
In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies…
Enriched Music Representations with Multiple Cross-modal Contrastive Learning
Andres Ferraro, Xavier Favory, Konstantinos Drossos +2
Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtai…
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
Andres Ferraro, Yuntae Kim, Soohyeon Lee +8
One of the main limitations in the field of audio signal processing is the lack of large public datasets with audio representations and high-quality annotations due to restrictions…
The Freesound Loop Dataset and Annotation Tool
Antonio Ramires, Frederic Font, Dmitry Bogdanov +7
Music loops are essential ingredients in electronic music production, and there is a high demand for pre-recorded loops in a variety of styles. Several commercial and community dat…