Does Zipf's law of abbreviation shape birdsong? [PDF]
PLoS Comput Biol, 2023 Zipf’s law of abbreviation predicts that in human languages, words that are used more frequently will be shorter than words that are used less frequently.
Gilman RT +3 more
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A hierarchical birdsong feature extraction architecture combining static and dynamic modeling
Ecological Indicators, 2023 To conserve bird biodiversity and monitor the distribution of species in the region, it is of tremendous necessity to identify birds by their songs and explore the rich ecological information birdsong contains.
Yanan Wang +5 more
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Global incidence of female birdsong is predicted by territoriality and biparental care in songbirds. [PDF]
Nat CommunPronounced sexual dimorphism is generally assumed to evolve through sexual selection for elaborate male traits. However, there is increasing evidence that sexual dimorphism in traits such as birdsong may also evolve through loss of elaboration in females,
Odom KJ +12 more
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Automated annotation of birdsong with a neural network that segments spectrograms
eLife, 2022 Songbirds provide a powerful model system for studying sensory-motor learning. However, many analyses of birdsong require time-consuming, manual annotation of its elements, called syllables.
Yarden Cohen +5 more
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Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification. [PDF]
Sci RepAnimal 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 ...
Ghani B +5 more
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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 ...
Sasek J +5 more
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Multi-Scale Deep Feature Fusion with Machine Learning Classifier for Birdsong Classification
Applied SciencesBirds are significant bioindicators in the assessment of habitat biodiversity, ecological impacts and ecosystem health. Against the backdrop of easier bird vocalization data acquisition, and with deep learning and machine learning technologies as the ...
Wei Li +6 more
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Respiratory contributions to birdsong-evolutionary considerations and open questions. [PDF]
Philos Trans R Soc Lond B Biol SciRespiration plays a central role in avian vocal behaviour by providing the airstream that induces vibration of vocal folds. In this role, respiratory movements dictate the coarse temporal pattern of song, while simultaneously fulfilling its vital ...
Goller F.
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Applied SciencesBirdsong classification plays a crucial role in monitoring species distribution, population structure, and environmental changes. Existing methods typically use supervised learning to extract specific features for classification, but this may limit the ...
Ziyi Wang +4 more
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Recognition of bird species with birdsong records using machine learning methods. [PDF]
PLoS OneThe recognition of bird species through the analysis of their vocalizations is a crucial aspect of wildlife conservation and biodiversity monitoring. In this study, the acoustic features of Certhia americana, Certhia brachydactyla, and Certhia familiaris
Tang Y, Liu C, Yuan X.
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