Eduardo Fonseca

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 40

Top Topics

Shift Invariance

Event Detection

Supervised Learning

Top Venues

Publications

R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
Dataset Balancing Can Hurt Model Performance. ICASSP (2023)
R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
Dataset balancing can hurt model performance. CoRR (2023)
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
Audiovisual Masked Autoencoders. ICCV (2023)
Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
Audiovisual Masked Autoencoders. CoRR (2022)
Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
FSD50K: An Open Dataset of Human-Labeled Sound Events. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE (2022)
Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR (2022)
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
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR (2022)
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP (2021)
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. ICASSP (2021)
Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR (2021)
Eduardo Fonseca, Andres Ferraro, Xavier Serra
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. CoRR (2021)
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR (2021)
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
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) (2021)
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP (2021)
Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra
Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes. DCASE (2021)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's all the Fuss about Free Universal Sound Separation Data? ICASSP (2021)
Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA (2021)
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Improving Sound Event Detection In Domestic Environments Using Sound Separation. CoRR (2020)
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra
Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR (2020)
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
Unsupervised Contrastive Learning of Sound Event Representations. CoRR (2020)
Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
FSD50K: an Open Dataset of Human-Labeled Sound Events. CoRR (2020)
Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. 27 (2020)
Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Improving Sound Event Detection in Domestic Environments using Sound Separation. DCASE (2020)
Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
What's All the FUSS About Free Universal Sound Separation Data? CoRR (2020)
Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. CoRR (2020)
Andres Perez-Lopez, Eduardo Fonseca, Xavier Serra
A hybrid parametric-deep learning approach for sound event localization and detection. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
Audio tagging with noisy labels and minimal supervision. CoRR (2019)
Eduardo Fonseca, Frederic Font, Xavier Serra
Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
Learning Sound Event Classifiers from Web Audio with Noisy Labels. ICASSP (2019)
Andres Perez-Lopez, Eduardo Fonseca, Xavier Serra
A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection. DCASE (2019)
Eduardo Fonseca, Frederic Font, Xavier Serra
Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers. WASPAA (2019)
Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
Learning Sound Event Classifiers from Web Audio with Noisy Labels. CoRR (2019)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
Audio Tagging with Noisy Labels and Minimal Supervision. DCASE (2019)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. DCASE (2018)
Xavier Favory, Eduardo Fonseca, Frederic Font, Xavier Serra
Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. CoRR (2018)
Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. CoRR (2018)
Eduardo Fonseca, Rong Gong, Xavier Serra
A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. CoRR (2018)
Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra
Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE (2017)
Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra
Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR (2017)
Eduardo Fonseca, Sand Correa, Renato Cerqueira
Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications. SBCARS (2008)
Sand Correa, Eduardo Fonseca, Renato Cerqueira
A self-diagnosis approach for performance problem localization in component-based applications. NOMS (2008)