João Monteiro
Orcid: 0000-0002-1327-3572Affiliations:
- ServiceNow Research, Montréal, QC, Canada
- Université du Québec, Montréal, QC, Canada
- Institut National de la Recherche Scientifique, INRS-EMT, QC, Canada
According to our database1,
João Monteiro
authored at least 34 papers
between 2017 and 2024.
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Bibliography
2024
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content.
CoRR, 2024
2023
COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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.
Speech Commun., 2022
Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment.
Frontiers Artif. Intell., 2022
2020
Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers.
Comput. Speech Lang., 2020
A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020
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.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers.
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.
Comput. Speech Lang., 2019
CoRR, 2019
Learning to navigate image manifolds induced by generative adversarial networks for unsupervised video generation.
CoRR, 2019
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.
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.
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.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators.
Proceedings of the 36th International Conference on Machine Learning, 2019
Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-end Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019
AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications.
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.
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.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
CoRR, 2018
Proceedings of the 2018 International Carnahan Conference on Security Technology, 2018
Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography.
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.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017