7 citations · 9 across the 15 of their papers we have counts for
3 papers · 1 filter
Self-Supervised Learning for Few-Shot Bird Sound Classification
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Self-supervised learning (SSL) in audio holds significant potential across various domains, particularly in situations where abundant, unlabeled data is readily available at no cos…
Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Deep learning has been widely used recently for sound event detection and classification. Its success is linked to the availability of sufficiently large datasets, possibly with co…
Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
Ilyass Moummad, Romain Serizel, Nicolas Farrugia
Bioacoustic sound event detection allows for better understanding of animal behavior and for better monitoring biodiversity using audio. Deep learning systems can help achieve this…