429 citations · 1.9k across the 36 of their papers we have counts for
37 papers
Comparison between transformers and convolutional models for fine-grained classification of insects
Rita Pucci, Vincent J. Kalkman, Dan Stowell
Fine-grained classification is challenging due to the difficulty of finding discriminatory features. This problem is exacerbated when applied to identifying species within the same…
Few-shot bioacoustic event detection at the DCASE 2023 challenge
Ines Nolasco, Burooj Ghani, Shubhr Singh +12
Few-shot bioacoustic event detection consists in detecting sound events of specified types, in varying soundscapes, while having access to only a few examples of the class of inter…
Learning to detect an animal sound from five examples
Inês Nolasco, Shubhr Singh, Veronica Morfi +14
Automatic detection and classification of animal sounds has many applications in biodiversity monitoring and animal behaviour. In the past twenty years, the volume of digitised wil…
Polyphonic sound event detection for highly dense birdsong scenes
Alberto García Arroba Parrilla, Dan Stowell
One hour before sunrise, one can experience the dawn chorus where birds from different species sing together. In this scenario, high levels of polyphony, as in the number of overla…
Computational bioacoustics with deep learning: a review and roadmap
Dan Stowell
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and ecosystems. They are studied i…
Rank-based loss for learning hierarchical representations
Ines Nolasco, Dan Stowell
Hierarchical taxonomies are common in many contexts, and they are a very natural structure humans use to organise information. In machine learning, the family of methods that use t…