Michel Olvera

According to our database, Michel Olvera authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization.

Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

Trans. Mach. Learn. Res., 2026

2025

iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models.

Michel Olvera, Changhong Wang, Paraskevas Stamatiadis, Gaël Richard, Slim Essid

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

TACO: Training-free Sound Prompted Segmentation via Deep Audio-visual CO-factorization.

Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

CoRR, 2024

An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment.

Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

CoRR, 2024

A sound description: Exploring prompt templates and class descriptions to enhance zero-shot audio classification.

Michel Olvera, Paraskevas Stamatiadis, Slim Essid

CoRR, 2024

SALT: Standardized Audio event Label Taxonomy.

Paraskevas Stamatiadis, Michel Olvera, Slim Essid

CoRR, 2024

An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching.

Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On The Choice of the Optimal Temporal Support for Audio Classification with Pre-Trained Embeddings.

Aurian Quelennec, Michel Olvera, Geoffroy Peeters, Slim Essid

Proceedings of the IEEE International Conference on Acoustics, 2024

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 21st Annual Conference of the International Speech Communication Association, 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