2 citations · 2 across the 4 of their papers we have counts for
3 papers · 1 filter
Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers
Anthony Deschênes, Rémi Georges, Cem Subakan +3
In recent years, the wood product industry has been facing a skilled labor shortage. The result is more frequent sudden failures, resulting in additional costs for these companies…
Self-supervised learning for infant cry analysis
Arsenii Gorin, Cem Subakan, Sajjad Abdoli +3
In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newbor…
CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds
David Budaghyan, Charles C. Onu, Arsenii Gorin +2
This paper describes the Ubenwa CryCeleb dataset - a labeled collection of infant cries - and the accompanying CryCeleb 2023 task, which is a public speaker verification challenge…