Eduardo Fonseca

According to our database, Eduardo Fonseca authored at least 32 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Audiovisual Masked Autoencoders.

Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dataset Balancing Can Hurt Model Performance.

R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

FSD50K: An Open Dataset of Human-Labeled Sound Events.

Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra

IEEE ACM Trans. Audio Speech Lang. Process., 2022

HEAR 2021: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

CoRR, 2022

Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System.

Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Training sound event classifiers using different types of supervision.

Eduardo Fonseca

PhD thesis, 2021

Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks.

Eduardo Fonseca, Andres Ferraro, Xavier Serra

CoRR, 2021

Self-Supervised Learning from Automatically Separated Sound Scenes.

Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

HEAR: Holistic Evaluation of Audio Representations.

Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

What's all the Fuss about Free Universal Sound Separation Data?

Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey

Proceedings of the IEEE International Conference on Acoustics, 2021

Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes.

Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon

Proceedings of the IEEE International Conference on Acoustics, 2021

The Benefit of Temporally-Strong Labels in Audio Event Classification.

Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal

Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Contrastive Learning of Sound Event Representations.

Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra

Proceedings of the IEEE International Conference on Acoustics, 2021

Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes.

Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra

Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020

FSD50K.

Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra

Dataset, October, 2020

FSDKaggle2019.

Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra

Dataset, January, 2020

Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking.

Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore

IEEE Signal Process. Lett., 2020

Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking.

Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra

CoRR, 2020

Improving Sound Event Detection in Domestic Environments using Sound Separation.

Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

FSDKaggle2018.

Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Manoj Plakal, Daniel P. W. Ellis, Xavier Serra

Dataset, January, 2019

FSDnoisy18k.

Eduardo Fonseca, Mercedes Collado, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra

Dataset, January, 2019

Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers.

Eduardo Fonseca, Frederic Font, Xavier Serra

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Learning Sound Event Classifiers from Web Audio with Noisy Labels.

Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra

Proceedings of the IEEE International Conference on Acoustics, 2019

A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection.

Andrés Pérez-López, Eduardo Fonseca, Xavier Serra

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Audio Tagging with Noisy Labels and Minimal Supervision.

Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

2018

Facilitating the Manual Annotation of Sounds When Using Large Taxonomies.

Xavier Favory, Eduardo Fonseca, Frederic Font, Xavier Serra

CoRR, 2018

A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification.

Eduardo Fonseca, Rong Gong, Xavier Serra

CoRR, 2018

General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline.

Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2017

Freesound Datasets: A Platform for the Creation of Open Audio Datasets.

Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks.

Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2008

Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications.

Eduardo Fonseca, Sand Correa, Renato Cerqueira

Proceedings of the Second Brazilian Symposium on Software Components, 2008

A self-diagnosis approach for performance problem localization in component-based applications.

Sand Correa, Eduardo Fonseca, Renato Cerqueira

Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008