Michel Olvera

According to our database, Michel Olvera authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

On the choice of the optimal temporal support for audio classification with Pre-trained embeddings.

Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid

CoRR, 2023

2022

Robust sound event detection. (Détection robuste d'événements sonores).

Michel Olvera

PhD thesis, 2022

On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification.

Michel Olvera, Emmanuel Vincent, Gilles Gasso

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Improving Sound Event Detection with Foreground-Background Classification and Domain Adaptation.

Michel Olvera

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

2020

Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers.

Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent

Proceedings of the Interspeech 2020, 2020

Foreground-Background Ambient Sound Scene Separation.

Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso

Proceedings of the 28th European Signal Processing Conference, 2020

Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge.

Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini

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

Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge.

Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini

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