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20182023
most citedGeneral-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

116 citations · 158 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.SD2023★ 1 cited

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…

cs.SD2021★ 23 cited

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…

cs.SD2020

Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags

Xavier Favory, Konstantinos Drossos, Tuomas Virtanen +1

Self-supervised audio representation learning offers an attractive alternative for obtaining generic audio embeddings, capable to be employed into various downstream tasks. Publish…

cs.SD2020

FSD50K: An Open Dataset of Human-Labeled Sound Events

Eduardo Fonseca, Xavier Favory, Jordi Pons +2

Most existing datasets for sound event recognition (SER) are relatively small and/or domain-specific, with the exception of AudioSet, based on over 2M tracks from YouTube videos an…

cs.SD2019

Multi Web Audio Sequencer: Collaborative Music Making

Xavier Favory, Xavier Serra

Recent advancements in web-based audio systems have enabled sufficiently accurate timing control and real-time sound processing capabilities. Numerous specialized music tools, as w…

cs.SD2019

Learning Sound Event Classifiers from Web Audio with Noisy Labels

Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis +3

As sound event classification moves towards larger datasets, issues of label noise become inevitable. Web sites can supply large volumes of user-contributed audio and metadata, but…

cs.SD2018★ 116 cited

General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

Eduardo Fonseca, Manoj Plakal, Frederic Font +4

This paper describes Task 2 of the DCASE 2018 Challenge, titled "General-purpose audio tagging of Freesound content with AudioSet labels". This task was hosted on the Kaggle platfo…