Automated birdsong recognition in complex acoustic environments: a review

N Priyadarshani, S Marsland… - Journal of Avian Biology, 2018 - Wiley Online Library
Conservationists are increasingly using autonomous acoustic recorders to determine the
presence/absence and the abundance of bird species. Unlike humans, these recorders can …

Automated bird acoustic event detection and robust species classification

Z Zhao, S Zhang, Z Xu, K Bellisario, N Dai, H Omrani… - Ecological …, 2017 - Elsevier
Non-invasive bioacoustic monitoring is becoming increasingly popular for biodiversity
conservation. Two automated methods for acoustic classification of bird species currently …

Design of bird sound recognition model based on lightweight

F Yang, Y Jiang, Y Xu - Ieee Access, 2022 - ieeexplore.ieee.org
Bird sounds recognition is of great significance in bird protection. With appropriate sound
classification, research can automatically predict the quality of life in the area. Nowadays …

Multileveled ternary pattern and iterative ReliefF based bird sound classification

T Tuncer, E Akbal, S Dogan - Applied Acoustics, 2021 - Elsevier
Birds may need to be identified for purposes such as environmental monitoring, follow-up,
and species detection in the ecological area. Automatic sound classifiers have been used to …

[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 …

Research progress in bird sounds recognition based on acoustic monitoring technology: A systematic review

D Liu, H Xiao, K Chen - Applied Acoustics, 2025 - Elsevier
Bird sound contains rich ecological information, and its related research results can be
applied to animal behavior analysis, natural information collection and ecological …

Automatic bird species recognition system using neural network based on spike

R Mohanty, BK Mallik, SS Solanki - Applied Acoustics, 2020 - Elsevier
Abstract Automatic Bird Species Recognition System helps ornithologists and researchers to
study particular bird species, effect of climate changes, count of endangered species and …

Active learning for bird sound classification via a kernel-based extreme learning machine

K Qian, Z Zhang, A Baird, B Schuller - The Journal of the Acoustical …, 2017 - pubs.aip.org
In recent years, research fields, including ecology, bioacoustics, signal processing, and
machine learning, have made bird sound recognition a part of their focus. This has led to …

Computational bioacoustic scene analysis

D Stowell - Computational analysis of sound scenes and events, 2018 - Springer
The analysis of natural and animal sound makes a demonstrable contribution to important
challenges in conservation, animal behaviour, and evolution. And now bioacoustics has …

Bird species recognition using unsupervised modeling of individual vocalization elements

P Jancovic, M Köküer - IEEE/ACM transactions on audio …, 2019 - ieeexplore.ieee.org
This paper investigates acoustic modeling for recognition of bird species from audio field
recordings. First, the acoustic scene is decomposed into isolated segments, corresponding …