Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring

MP Mcloughlin, R Stewart… - Journal of the Royal …, 2019 - royalsocietypublishing.org
Vocalizations carry emotional, physiological and individual information. This suggests that
they may serve as potentially useful indicators for inferring animal welfare. At the same time …

Challenges and solutions for studying collective animal behaviour in the wild

LF Hughey, AM Hein… - … of the Royal …, 2018 - royalsocietypublishing.org
Mobile animal groups provide some of the most compelling examples of self-organization in
the natural world. While field observations of songbird flocks wheeling in the sky or anchovy …

[HTML][HTML] Learning to detect an animal sound from five examples

I Nolasco, S Singh, V Morfi, V Lostanlen… - Ecological …, 2023 - Elsevier
Automatic detection and classification of animal sounds has many applications in
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …

Investigation of different CNN-based models for improved bird sound classification

J **e, K Hu, M Zhu, J Yu, Q Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Automatic bird sound classification plays an important role in monitoring and further
protecting biodiversity. Recent advances in acoustic sensor networks and deep learning …

A methodological literature review of acoustic wildlife monitoring using artificial intelligence tools and techniques

S Sharma, K Sato, BP Gautam - Sustainability, 2023 - mdpi.com
Artificial intelligence (AI) has become a significantly growing field in the environmental
sector due to its ability to solve problems, make decisions, and recognize patterns. The …

Review on methods used for wildlife species and individual identification

T Petso, RS Jamisola Jr, D Mpoeleng - European Journal of Wildlife …, 2022 - Springer
This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …

Sound-spectrogram based automatic bird species recognition using MLP classifier

R Pahuja, A Kumar - Applied Acoustics, 2021 - Elsevier
Bioacoustics play a major role in the field of ornithology, ecology, animal behaviour study,
habitat monitoring, species conservation and design of deterrent system. This work focusses …

Few-shot bioacoustic event detection: A new task at the dcase 2021 challenge

V Morfi, I Nolasco, V Lostanlen, S Singh… - 2021 - kops.uni-konstanz.de
Few-shot bioacoustic event detection is a novel area of research that emerged from a need
in monitoring biodiversity and animal behaviour: to annotate long recordings, that experts …

Domestic cat sound classification using learned features from deep neural nets

YR Pandeya, D Kim, J Lee - Applied Sciences, 2018 - mdpi.com
Featured Application Domestic cats are ancient human pet animal that communicate
through generating sounds. Automatic animal sound classification creates a better human …

Use of acceleration and acoustics to classify behavior, generate time budgets, and evaluate responses to moonlight in free-ranging snowshoe hares

EK Studd, MR Boudreau, YN Majchrzak… - Frontiers in Ecology …, 2019 - frontiersin.org
Technological miniaturization is driving a biologging revolution that is producing detailed
and sophisticated techniques of assessing individual behavioral responses to …