Eduardo Fonseca

45 papers A* 1B 1Misc 6Journal 23Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Recomposer: Event-roll-guided generative audio editing. CoRR Daniel P. W. Ellis, Eduardo Fonseca, Ron J. Weiss, Kevin W. Wilson, Scott Wisdom, Hakan Erdogan, John R. Hershey, Aren Jansen, R. Channing Moore, Manoj Plakal
2023	A*	`conf`	Audiovisual Masked Autoencoders. ICCV Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
2023	Misc	`conf`	Dataset Balancing Can Hurt Model Performance. ICASSP R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
2023	J	`jnl`	Dataset balancing can hurt model performance. CoRR R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca, Shawn Hershey, Aren Jansen, Manoj Plakal
2022	J	`jnl`	Audiovisual Masked Autoencoders. CoRR Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab
2022	—	`conf`	Description and Analysis of Novelties Introduced in DCASE Task 4 2022 on the Baseline System. DCASE Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
2022	J	`jnl`	Description and analysis of novelties introduced in DCASE Task 4 2022 on the baseline system. CoRR Francesca Ronchini, Samuele Cornell, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Daniel P. W. Ellis
2022	J	`jnl`	FSD50K: An Open Dataset of Human-Labeled Sound Events. IEEE ACM Trans. Audio Speech Lang. Process. Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
2022	J	`jnl`	HEAR 2021: Holistic Evaluation of Audio Representations. CoRR 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
2021	—	`conf`	HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks. CoRR Eduardo Fonseca, Andres Ferraro, Xavier Serra
2021	—	`ed.`	Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), Online, November 15-19, 2021 DCASE Frederic Font, Annamaria Mesaros, Daniel P. W. Ellis, Eduardo Fonseca, Magdalena Fuentes, Benjamin Elizalde
2021	—	`conf`	Self-Supervised Learning from Automatically Separated Sound Scenes. WASPAA Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
2021	J	`jnl`	Self-Supervised Learning from Automatically Separated Sound Scenes. CoRR Eduardo Fonseca, Aren Jansen, Daniel P. W. Ellis, Scott Wisdom, Marco Tagliasacchi, John R. Hershey, Manoj Plakal, Shawn Hershey, R. Channing Moore, Xavier Serra
2021	Misc	`conf`	Sound Event Detection and Separation: A Benchmark on Desed Synthetic Soundscapes. ICASSP Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2021	J	`jnl`	The Benefit Of Temporally-Strong Labels In Audio Event Classification. CoRR Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
2021	Misc	`conf`	The Benefit of Temporally-Strong Labels in Audio Event Classification. ICASSP Shawn Hershey, Daniel P. W. Ellis, Eduardo Fonseca, Aren Jansen, Caroline Liu, R. Channing Moore, Manoj Plakal
2021	—	`conf`	Toward Interpretable Polyphonic Sound Event Detection with Attention Maps Based on Local Prototypes. DCASE Pablo Zinemanas, Martín Rocamora, Eduardo Fonseca, Frederic Font, Xavier Serra
2021	—	`—`	Training sound event classifiers using different types of supervision. Eduardo Fonseca
2021	Misc	`conf`	Unsupervised Contrastive Learning of Sound Event Representations. ICASSP Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2021	Misc	`conf`	What's all the Fuss about Free Universal Sound Separation Data? ICASSP Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
2020	J	`jnl`	Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking. IEEE Signal Process. Lett. Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore
2020	J	`jnl`	Addressing Missing Labels in Large-scale Sound Event Recognition using a Teacher-student Framework with Loss Masking. CoRR Eduardo Fonseca, Shawn Hershey, Manoj Plakal, Daniel P. W. Ellis, Aren Jansen, R. Channing Moore, Xavier Serra
2020	J	`jnl`	FSD50K: an Open Dataset of Human-Labeled Sound Events. CoRR Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra
2020	J	`jnl`	Improving Sound Event Detection In Domestic Environments Using Sound Separation. CoRR Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020	—	`conf`	Improving Sound Event Detection in Domestic Environments using Sound Separation. DCASE Nicolas Turpault, Scott Wisdom, Hakan Erdogan, John R. Hershey, Romain Serizel, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020	J	`jnl`	Sound Event Detection and Separation: a Benchmark on Desed Synthetic Soundscapes. CoRR Nicolas Turpault, Romain Serizel, Scott Wisdom, Hakan Erdogan, John R. Hershey, Eduardo Fonseca, Prem Seetharaman, Justin Salamon
2020	J	`jnl`	Unsupervised Contrastive Learning of Sound Event Representations. CoRR Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2020	J	`jnl`	What's All the FUSS About Free Universal Sound Separation Data? CoRR Scott Wisdom, Hakan Erdogan, Daniel P. W. Ellis, Romain Serizel, Nicolas Turpault, Eduardo Fonseca, Justin Salamon, Prem Seetharaman, John R. Hershey
2019	—	`conf`	A Hybrid Parametric-Deep Learning Approach for Sound Event Localization and Detection. DCASE Andrés Pérez-López, Eduardo Fonseca, Xavier Serra
2019	J	`jnl`	A hybrid parametric-deep learning approach for sound event localization and detection. CoRR Andrés Pérez-López, Eduardo Fonseca, Xavier Serra
2019	—	`conf`	Audio Tagging with Noisy Labels and Minimal Supervision. DCASE Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
2019	J	`jnl`	Audio tagging with noisy labels and minimal supervision. CoRR Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Serra
2019	Misc	`conf`	Learning Sound Event Classifiers from Web Audio with Noisy Labels. ICASSP Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
2019	J	`jnl`	Learning Sound Event Classifiers from Web Audio with Noisy Labels. CoRR Eduardo Fonseca, Manoj Plakal, Daniel P. W. Ellis, Frederic Font, Xavier Favory, Xavier Serra
2019	—	`conf`	Model-Agnostic Approaches To Handling Noisy Labels When Training Sound Event Classifiers. WASPAA Eduardo Fonseca, Frederic Font, Xavier Serra
2019	J	`jnl`	Model-agnostic Approaches to Handling Noisy Labels When Training Sound Event Classifiers. CoRR Eduardo Fonseca, Frederic Font, Xavier Serra
2018	J	`jnl`	A Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification. CoRR Eduardo Fonseca, Rong Gong, Xavier Serra
2018	J	`jnl`	Facilitating the Manual Annotation of Sounds When Using Large Taxonomies. CoRR Xavier Favory, Eduardo Fonseca, Frederic Font, Xavier Serra
2018	J	`jnl`	General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline. CoRR Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
2018	—	`conf`	General-purpose tagging of Freesound audio with AudioSet labels: task description, dataset, and baseline. DCASE Eduardo Fonseca, Manoj Plakal, Frederic Font, Daniel P. W. Ellis, Xavier Favory, Jordi Pons, Xavier Serra
2017	—	`conf`	Acoustic Scene Classification by Ensembling Gradient Boosting Machine and Convolutional Neural Networks. DCASE Eduardo Fonseca, Rong Gong, Dmitry Bogdanov, Olga Slizovskaia, Emilia Gómez, Xavier Serra
2017	—	`conf`	Freesound Datasets: A Platform for the Creation of Open Audio Datasets. ISMIR Eduardo Fonseca, Jordi Pons, Xavier Favory, Frederic Font, Dmitry Bogdanov, Andres Ferraro, Sergio Oramas, Alastair Porter, Xavier Serra
2008	B	`conf`	A self-diagnosis approach for performance problem localization in component-based applications. NOMS Sand Correa, Eduardo Fonseca, Renato Cerqueira
2008	—	`conf`	Experimenting Middleware-Level Monitoring Facilities to Observe Component-based Applications. SBCARS Eduardo Fonseca, Sand Correa, Renato Cerqueira