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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…
Fast Chirplet Transform to Enhance CNN Machine Listening - Validation on Animal calls and Speech
Herve Glotin, Julien Ricard, Randall Balestriero
The scattering framework offers an optimal hierarchical convolutional decomposition according to its kernels. Convolutional Neural Net (CNN) can be seen as an optimal kernel decomp…
Bird detection in audio: a survey and a challenge
Dan Stowell, Mike Wood, Yannis Stylianou +1
Many biological monitoring projects rely on acoustic detection of birds. Despite increasingly large datasets, this detection is often manual or semi-automatic, requiring manual tun…