João Monteiro

According to our database, João Monteiro authored at least 30 papers between 2017 and 2023.

Collaborative distances:

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

2023

COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features.

Yi Zhu, Abhishek Tiwari, João Monteiro, Shruti Rajendra Kshirsagar, Tiago H. Falk

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection.

Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vázquez, João Monteiro

CoRR, 2023

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning.

Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constraining Representations Yields Models That Know What They Don't Know.

João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations.

João Monteiro, Jahangir Alam, Tiago H. Falk

Speech Commun., 2022

Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment.

Isabela Albuquerque, João Monteiro, Olivier Rosanne, Tiago H. Falk

Frontiers Artif. Intell., 2022

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning.

Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro

CoRR, 2022

2020

Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Comput. Speech Lang., 2020

A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

An end-to-end approach for the verification problem: learning the right distance.

João Monteiro, Isabela Albuquerque, Md. Jahangir Alam, R. Devon Hjelm, Tiago H. Falk

Proceedings of the 37th International Conference on Machine Learning, 2020

An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Comput. Speech Lang., 2019

Adversarial target-invariant representation learning for domain generalization.

Isabela Albuquerque, João Monteiro, Tiago H. Falk, Ioannis Mitliagkas

CoRR, 2019

Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation.

Isabela Albuquerque, João Monteiro, Tiago H. Falk

CoRR, 2019

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch.

João Monteiro, Isabela Albuquerque, Zahid Akhtar, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment.

Isabela Albuquerque, João Monteiro, Olivier Rosanne, Abhishek Tiwari, Jean-François Gagnon, Tiago H. Falk

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning.

João Monteiro, Md. Jahangir Alam, Tiago H. Falk

Proceedings of the Interspeech 2019, 2019

Multi-objective training of Generative Adversarial Networks with multiple discriminators.

Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago H. Falk, Ioannis Mitliagkas

Proceedings of the 36th International Conference on Machine Learning, 2019

Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification.

Gautam Bhattacharya, João Monteiro, Md. Jahangir Alam, Patrick Kenny

Proceedings of the IEEE International Conference on Acoustics, 2019

AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications.

Raymundo Cassani, Isabela Albuquerque, João Monteiro, Tiago H. Falk

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

End-to-End Language Identification Using a Residual Convolutional Neural Network with Attentive Temporal Pooling.

João Monteiro, Md. Jahangir Alam, Gautam Bhattacharya, Tiago H. Falk

Proceedings of the 27th European Signal Processing Conference, 2019

Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge.

João Monteiro, Md. Jahangir Alam

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

On-Line Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Online Adaptative Curriculum Learning for GANs.

Thang Doan, João Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R. Devon Hjelm

CoRR, 2018

Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch.

João Monteiro, Zahid Akhtar, Tiago H. Falk

CoRR, 2018

Adversarial Examples Detection Using No-Reference Image Quality Features.

Zahid Akhtar, João Monteiro, Tiago H. Falk

Proceedings of the 2018 International Carnahan Conference on Security Technology, 2018

Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography.

Isabela Albuquerque, João Monteiro, Tiago H. Falk, Vuk Pavlovic, Ferdin Ephrem, Diana Lucaci

Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018

2017

Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks.

Anderson R. Avila, João Monteiro, Douglas D. O'Shaughnessy, Tiago H. Falk

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017