[HTML][HTML] BirdNET: A deep learning solution for avian diversity monitoring
Variation in avian diversity in space and time is commonly used as a metric to assess
environmental changes. Conventionally, such data were collected by expert observers, but …
environmental changes. Conventionally, such data were collected by expert observers, but …
[HTML][HTML] Towards a multisensor station for automated biodiversity monitoring
Rapid changes of the biosphere observed in recent years are caused by both small and
large scale drivers, like shifts in temperature, transformations in land-use, or changes in the …
large scale drivers, like shifts in temperature, transformations in land-use, or changes in the …
Overview of lifeclef 2022: an evaluation of machine-learning based species identification and species distribution prediction
Building accurate knowledge of the identity, the geographic distribution and the evolution of
species is essential for the sustainable development of humanity, as well as for biodiversity …
species is essential for the sustainable development of humanity, as well as for biodiversity …
Improving bird classification with unsupervised sound separation
This paper addresses the problem of species classification in bird song recordings. The
massive amount of available field recordings of birds presents an opportunity to use …
massive amount of available field recordings of birds presents an opportunity to use …
Overview of birdclef 2020: Bird sound recognition in complex acoustic environments
Passive acoustic monitoring is a cornerstone of the assessment of ecosystem health and the
improvement of automated assessment systems has the potential to have a transformative …
improvement of automated assessment systems has the potential to have a transformative …
Overview of lifeclef 2020: a system-oriented evaluation of automated species identification and species distribution prediction
Building accurate knowledge of the identity, the geographic distribution and the evolution of
species is essential for the sustainable development of humanity, as well as for biodiversity …
species is essential for the sustainable development of humanity, as well as for biodiversity …
[PDF][PDF] Bird Sound Classification Using Convolutional Neural Networks.
CY Koh, JY Chang, CL Tai, DY Huang, HH Hsieh… - Clef (working notes …, 2019 - ceur-ws.org
Accurate prediction of bird species from audio recordings is beneficial to bird conservation.
Thanks to the rapid advance in deep learning, the accuracy of bird species identification …
Thanks to the rapid advance in deep learning, the accuracy of bird species identification …
Classification of animal sounds in a hyperdiverse rainforest using convolutional neural networks with data augmentation
Y Sun, TM Maeda, C Solís-Lemus… - Ecological …, 2022 - Elsevier
To protect tropical forest biodiversity, we need to be able to detect it reliably, cheaply, and at
scale. Automated detection of sound producing animals from passively recorded …
scale. Automated detection of sound producing animals from passively recorded …
[PDF][PDF] Bird Species Identification in Soundscapes.
M Lasseck - CLEF (Working Notes), 2019 - researchgate.net
This paper presents deep learning techniques for audio-based bird identification in
soundscapes. Deep Convolutional Neural Networks are trained to classify 659 species …
soundscapes. Deep Convolutional Neural Networks are trained to classify 659 species …
Bird species identification using spectrogram based on multi-channel fusion of DCNNs
F Zhang, L Zhang, H Chen, J Xie - Entropy, 2021 - mdpi.com
Deep convolutional neural networks (DCNNs) have achieved breakthrough performance on
bird species identification using a spectrogram of bird vocalization. Aiming at the imbalance …
bird species identification using a spectrogram of bird vocalization. Aiming at the imbalance …