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 …

Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring

R Gibb, E Browning, P Glover‐Kapfer… - Methods in Ecology …, 2019 - Wiley Online Library
High‐throughput environmental sensing technologies are increasingly central to global
monitoring of the ecological impacts of human activities. In particular, the recent boom in …

[HTML][HTML] Machine learning in acoustics: Theory and applications

MJ Bianco, P Gerstoft, J Traer, E Ozanich… - The Journal of the …, 2019 - pubs.aip.org
Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

Automatic acoustic detection of birds through deep learning: the first bird audio detection challenge

D Stowell, MD Wood, H Pamuła… - Methods in Ecology …, 2019 - Wiley Online Library
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 …

A review of automatic recognition technology for bird vocalizations in the deep learning era

J Xie, Y Zhong, J Zhang, S Liu, C Ding… - Ecological …, 2023 - Elsevier
Birds are considered critical indicators of ecosystem condition. Automatic recording devices
have emerged as a trending tool to assist field observations, contributing to biodiversity …

Bat detective—Deep learning tools for bat acoustic signal detection

O Mac Aodha, R Gibb, KE Barlow… - PLoS computational …, 2018 - journals.plos.org
Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic
impacts on biodiversity, especially for echolocating bat species. To better assess bat …

A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network

J LeBien, M Zhong, M Campos-Cerqueira, JP Velev… - Ecological …, 2020 - Elsevier
Automated acoustic recorders can collect long-term soundscape data containing species-
specific signals in remote environments. Ecologists have increasingly used them for …

Ecological inferences about marine mammals from passive acoustic data

E Fleishman, D Cholewiak, D Gillespie… - Biological …, 2023 - Wiley Online Library
Monitoring on the basis of sound recordings, or passive acoustic monitoring, can
complement or serve as an alternative to real‐time visual or aural monitoring of marine …

[HTML][HTML] Improving deep learning acoustic classifiers with contextual information for wildlife monitoring

L Jeantet, E Dufourq - Ecological Informatics, 2023 - Elsevier
Bioacoustics, the exploration of animal vocalizations and natural soundscapes, has
emerged as a valuable tool for studying species within their habitats, particularly those that …

[PDF][PDF] Bird call recognition using deep convolutional neural network, ResNet-50

M Sankupellay, D Konovalov - Proc. Acoustics, 2018 - researchgate.net
Birds are an important group of animal that ecologist monitor using autonomous recordings
units as an crucial indicator of health of an environment. There is not yet an adequate …