20 citations · 24 across the 2 of their papers we have counts for
3 papers
q-bio.QM2020★ 4 cited
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…
cs.SD2019★ 20 cited
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…
eess.AS2019
GIBBONFINDR: An R package for the detection and classification of acoustic signals
Dena J. Clink, Holger Klinck
The recent improvements in recording technology, data storage and battery life have led to an increased interest in the use of passive acoustic monitoring for a variety of research…