Birdsong classification based on ensemble multi-scale convolutional neural network [PDF]
Scientific Reports, 2022 With the intensification of ecosystem damage, birds have become the symbolic species of the ecosystem. Ornithology with interdisciplinary technical research plays a great significance for protecting birds and evaluating ecosystem quality.
Jiang Liu +7 more
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Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification [PDF]
Scientific ReportsAnimal sounds can be recognised automatically by machine learning, and this has an important role to play in biodiversity monitoring. Yet despite increasingly impressive capabilities, bioacoustic species classifiers still exhibit imbalanced performance ...
Burooj Ghani +5 more
doaj +5 more sources
Publisher Correction: Machine learning and statistical classification of birdsong link vocal acoustic features with phylogeny [PDF]
Scientific Reports, 2023 Moises Rivera +3 more
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Global birdsong embeddings enable superior transfer learning for bioacoustic classification
Scientific Reports, 2023 Automated bioacoustic analysis aids understanding and protection of both marine and terrestrial animals and their habitats across extensive spatiotemporal scales, and typically involves analyzing vast collections of acoustic data. With the advent of deep
Burooj Ghani +3 more
doaj +6 more sources
Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning [PDF]
PeerJ, 2014 Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies.
Dan Stowell, Mark D. Plumbley
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Semi-automatic classification of birdsong elements using a linear support vector machine. [PDF]
PLoS ONE, 2014 Birdsong provides a unique model for understanding the behavioral and neural bases underlying complex sequential behaviors. However, birdsong analyses require laborious effort to make the data quantitatively analyzable.
Ryosuke O Tachibana +2 more
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Scientific Reports, 2023 Birdsong is a longstanding model system for studying evolution and biodiversity. Here, we collected and analyzed high quality song recordings from seven species in the family Estrildidae.
Moises Rivera +3 more
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5G AI-IoT System for Bird Species Monitoring and Song Classification [PDF]
SensorsIdentification of different species of animals has become an important issue in biology and ecology. Ornithology has made alliances with other disciplines in order to establish a set of methods that play an important role in the birds’ protection and the
Jaume Segura-Garcia +5 more
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Measuring context dependency in birdsong using artificial neural networks. [PDF]
PLoS Computational Biology, 2021 Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart in the produced sequence.
Takashi Morita +3 more
doaj +2 more sources
Semiautomated generation of species-specific training data from large, unlabeled acoustic datasets for deep supervised birdsong isolation [PDF]
PeerJBackground Bioacoustic monitoring is an effective and minimally invasive method to study wildlife ecology. However, even the state-of-the-art techniques for analyzing birdsongs decrease in accuracy in the presence of extraneous signals such as ...
Justin Sasek +5 more
doaj +3 more sources