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20112022
most citedGeneral-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline

116 citations · 674 across the 48 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

cs.SD2020

Unsupervised Contrastive Learning of Sound Event Representations

Eduardo Fonseca, Diego Ortego, Kevin McGuinness +2

Self-supervised representation learning can mitigate the limitations in recognition tasks with few manually labeled data but abundant unlabeled data---a common scenario in sound ev…

cs.IR2020★ 6 cited

Multimodal Metric Learning for Tag-based Music Retrieval

Minz Won, Sergio Oramas, Oriol Nieto +2

Tag-based music retrieval is crucial to browse large-scale music libraries efficiently. Hence, automatic music tagging has been actively explored, mostly as a classification task,…

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…

eess.AS2020★ 2 cited

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…

eess.AS2020★ 2 cited

TIV.lib: an open-source library for the tonal description of musical audio

António Ramires, Gilberto Bernardes, Matthew E. P. Davies +1

In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Ton…