733 citations · 968 across the 10 of their papers we have counts for
10 papers
Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Burooj Ghani, Tom Denton, Stefan Kahl +1
Automated bioacoustic analysis aids understanding and protection of both marine and terrestrial animals and their habitats across extensive spatiotemporal scales, and typically inv…
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Pu Li, Marie Roch, Holger Klinck +5
Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for a…
Seeing biodiversity: perspectives in machine learning for wildlife conservation
Devis Tuia, Benjamin Kellenberger, Sara Beery +15
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging device…
Parsing Birdsong with Deep Audio Embeddings
Irina Tolkova, Brian Chu, Marcel Hedman +2
Monitoring of bird populations has played a vital role in conservation efforts and in understanding biodiversity loss. The automation of this process has been facilitated by both s…
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours
Pu Li, Xiaobai Liua, K. J. Palmer +8
We present a learning-based method for extracting whistles of toothed whales (Odontoceti) in hydrophone recordings. Our method represents audio signals as time-frequency spectrogra…
Long-distance Detection of Bioacoustic Events with Per-channel Energy Normalization
Vincent Lostanlen, Kaitlin Palmer, Elly Knight +6
This paper proposes to perform unsupervised detection of bioacoustic events by pooling the magnitudes of spectrogram frames after per-channel energy normalization (PCEN). Although…