116 citations · 674 across the 48 of their papers we have counts for
15 papers · 1 filter
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…
Visualizing and Understanding Self-attention based Music Tagging
Minz Won, Sanghyuk Chun, Xavier Serra
Recently, we proposed a self-attention based music tagging model. Different from most of the conventional deep architectures in music information retrieval, which use stacked 3x3 f…
Neural Percussive Synthesis Parameterised by High-Level Timbral Features
António Ramires, Pritish Chandna, Xavier Favory +2
We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds. This approach allows for i…
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…
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers
Eduardo Fonseca, Frederic Font, Xavier Serra
Label noise is emerging as a pressing issue in sound event classification. This arises as we move towards larger datasets that are difficult to annotate manually, but it is even mo…
musicnn: Pre-trained convolutional neural networks for music audio tagging
Jordi Pons, Xavier Serra
Pronounced as "musician", the musicnn library contains a set of pre-trained musically motivated convolutional neural networks for music audio tagging: https://github.com/jordipons/…