47 citations · 79 across the 6 of their papers we have counts for
8 papers
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…
Evaluation of CNN-based Automatic Music Tagging Models
Minz Won, Andres Ferraro, Dmitry Bogdanov +1
Recent advances in deep learning accelerated the development of content-based automatic music tagging systems. Music information retrieval (MIR) researchers proposed various archit…
TensorFlow Audio Models in Essentia
Pablo Alonso-Jiménez, Dmitry Bogdanov, Jordi Pons +1
Essentia is a reference open-source C++/Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predicti…
Artist and style exposure bias in collaborative filtering based music recommendations
Andres Ferraro, Dmitry Bogdanov, Xavier Serra +1
Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across di…
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging
Andres Ferraro, Dmitry Bogdanov, Xavier Serra +2
Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advanc…
Skip prediction using boosting trees based on acoustic features of tracks in sessions
Andrés Ferraro, Dmitry Bogdanov, Xavier Serra
The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not. In this paper, we describe our approach to this p…