405 citations · 481 across the 4 of their papers we have counts for
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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…
NIPS4Bplus: a richly annotated birdsong audio dataset
Veronica Morfi, Yves Bas, Hanna Pamuła +2
Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first rich…
Automatic acoustic detection of birds through deep learning: the first Bird Audio Detection challenge
Dan Stowell, Yannis Stylianou, Mike Wood +2
Assessing the presence and abundance of birds is important for monitoring specific species as well as overall ecosystem health. Many birds are most readily detected by their sounds…