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 …

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 …

Combining visual and acoustic features for audio classification tasks

L Nanni, YMG Costa, DR Lucio, CN Silla Jr… - Pattern Recognition …, 2017 - Elsevier
In this paper a novel and effective approach for automated audio classification is presented
that is based on the fusion of different sets of features, both visual and acoustic. A number of …

[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 …

Bird species identification via transfer learning from music genres

S Ntalampiras - Ecological informatics, 2018 - Elsevier
Humans possess the ability to apply previously acquired knowledge to deal with novel
problems quite efficiently. Transfer Learning is inspired by exactly that ability and has been …

Bioacoustics data analysis–A taxonomy, survey and open challenges

RR Kvsn, J Montgomery, S Garg, M Charleston - IEEE Access, 2020 - ieeexplore.ieee.org
Biodiversity monitoring has become a critical task for governments and ecological research
agencies for reducing significant loss of animal species. Existing monitoring methods are …

Classification of group-specific variations in songs within House Wren species using machine learning models

B Ghani, H Klinck, S Hallerberg - Ecological Informatics, 2023 - Elsevier
Songbirds have shown variation in vocalizations across different populations and different
geographical ranges. Such variations can over time lead to divergence in song …

Predicting species identity of bumblebees through analysis of flight buzzing sounds

A Gradišek, G Slapničar, J Šorn, M Luštrek, M Gams… - Bioacoustics, 2017 - Taylor & Francis
We present a study of buzzing sounds of several common species of bumblebees, with the
focus on automatic classification of bumblebee species and types. Such classification is …

Bird species identification using spectrogram and dissimilarity approach

RHD Zottesso, YMG Costa, D Bertolini… - Ecological Informatics, 2018 - Elsevier
In this work, we investigate bird species identification starting from audio record-ings on
eight quite challenging subsets taken from the LifeClef 2015 bird task contest database, in …

Automatic identification of bird species using audio/video processing

N Sharma, A Vijayeendra, V Gopakumar… - … for advancement in …, 2022 - ieeexplore.ieee.org
There are about 10,000 to 13,000 different species of birds in the world. Identification of bird
species has been a taxing ordeal for ornithologists and domain experts for decades. Hence …