2 papers
eess.AS2026
Acoustic domain shift in spoken language identification from systematic domain generalization evaluation to real-world application
Francois Derrida, Raphaël Duroselle, Thomas Courtat +1
Domain Generalization (DG) aims to develop models that remain robust to conditions unseen during training. While DG has been systematically studied in computer vision through contr…
cs.SD2024
Multiple Choice Learning for Efficient Speech Separation with Many Speakers
David Perera, François Derrida, Théo Mariotte +2
Training speech separation models in the supervised setting raises a permutation problem: finding the best assignation between the model predictions and the ground truth separated…