Computational bioacoustics with deep learning: a review and roadmap
D Stowell - PeerJ, 2022 - peerj.com
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
valuable evidence about animal behaviours, populations and ecosystems. They are studied …
Terrestrial passive acoustic monitoring: review and perspectives
Passive acoustic monitoring (PAM) is quickly gaining ground in ecological research,
following global trends toward automated data collection and big data. Using unattended …
following global trends toward automated data collection and big data. Using unattended …
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
High‐throughput environmental sensing technologies are increasingly central to global
monitoring of the ecological impacts of human activities. In particular, the recent boom in …
monitoring of the ecological impacts of human activities. In particular, the recent boom in …
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
Passive acoustic monitoring (PAM) has emerged as a transformative tool for applied
ecology, conservation and biodiversity monitoring, but its potential contribution to …
ecology, conservation and biodiversity monitoring, but its potential contribution to …
Sound event localization and detection of overlapping sources using convolutional recurrent neural networks
In this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …
Applications for deep learning in ecology
S Christin, É Hervet, N Lecomte - Methods in Ecology and …, 2019 - Wiley Online Library
A lot of hype has recently been generated around deep learning, a novel group of artificial
intelligence approaches able to break accuracy records in pattern recognition. Over the …
intelligence approaches able to break accuracy records in pattern recognition. Over the …
Automatic acoustic detection of birds through deep learning: the first bird audio detection challenge
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 …
as well as overall ecosystem health. Many birds are most readily detected by their sounds …
Drones count wildlife more accurately and precisely than humans
Knowing how many individuals are in a wildlife population allows informed management
decisions to be made. Ecologists are increasingly using technologies, such as remotely …
decisions to be made. Ecologists are increasingly using technologies, such as remotely …
[图书][B] Distance sampling: methods and applications
This is the fourth book dedicated to distance sampling. The first (Buckland et al. 1993)
appeared at around the same time as the first version of the Distance software (Laake et al …
appeared at around the same time as the first version of the Distance software (Laake et al …
Estimating bird density using passive acoustic monitoring: a review of methods and suggestions for further research
C Pérez‐Granados, J Traba - Ibis, 2021 - Wiley Online Library
Passive acoustic monitoring is a non‐invasive tool for automated wildlife monitoring. This
technique has several advantages and addresses many of the biases related to traditional …
technique has several advantages and addresses many of the biases related to traditional …