AIMC Topic: Vocalization, Animal

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Classifying vocal responses of broilers to environmental stressors via artificial neural network.

Animal : an international journal of animal bioscience Nov 22, 2024
Detecting early-stage stress in broiler farms is crucial for optimising growth rates and animal well-being. This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transforme...
Neural Networks, Computer Animals Signal Processing, Computer-Assisted Stress, Physiological Vocalization, Animal Animal Husbandry Chickens
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Deep learning algorithms reveal increased social activity in rats at the onset of the dark phase of the light/dark cycle.

PloS one Nov 8, 2024
The rapid decrease of light intensity is a potent stimulus of rats' activity. The nature of this activity, including the character of social behavior and the composition of concomitant ultrasonic vocalizations (USVs), is unknown. Using deep learning ...
Rats Behavior, Animal Social Behavior Photoperiod Vocalization, Animal Male Deep Learning Algorithms Animals
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Deep transfer learning-based bird species classification using mel spectrogram images.

PloS one Aug 12, 2024
The classification of bird species is of significant importance in the field of ornithology, as it plays an important role in assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels of pollution, ...
Birds Deep Learning Neural Networks, Computer Animals Sound Spectrography Vocalization, Animal
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Applying machine learning to primate bioacoustics: Review and perspectives.

American journal of primatology Aug 9, 2024
This paper provides a comprehensive review of the use of computational bioacoustics as well as signal and speech processing techniques in the analysis of primate vocal communication. We explore the potential implications of machine learning and deep ...
Animals Acoustics Vocalization, Animal Machine Learning Primates
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Bird song comparison using deep learning trained from avian perceptual judgments.

PLoS computational biology Aug 7, 2024
Our understanding of bird song, a model system for animal communication and the neurobiology of learning, depends critically on making reliable, validated comparisons between the complex multidimensional syllables that are used in songs. However, mos...
Finches Judgment Conditioning, Operant Male Deep Learning Sound Spectrography Algorithms Vocalization, Animal Animals Computational Biology Humans
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5G AI-IoT System for Bird Species Monitoring and Song Classification.

Sensors (Basel, Switzerland) Jun 6, 2024
Identification 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...
Deep Learning Internet of Things Animals Birds Vocalization, Animal Neural Networks, Computer Machine Learning Algorithms Artificial Intelligence
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Machine learning with taxonomic family delimitation aids in the classification of ephemeral beaked whale events in passive acoustic monitoring.

PloS one Jun 4, 2024
Passive acoustic monitoring is an essential tool for studying beaked whale populations. This approach can monitor elusive and pelagic species, but the volume of data it generates has overwhelmed researchers' ability to quantify species occurrence for...
Whales Acoustics Vocalization, Animal Neural Networks, Computer Machine Learning Animals
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Machine-learning based detection of marine mammal vocalizations in snapping-shrimp dominated ambient noise.

Marine environmental research May 31, 2024
Passive acoustics is an effective method for monitoring marine mammals, facilitating both detection and population estimation. In warm tropical waters, this technique encounters challenges due to the high persistent level of ambient impulsive noise o...
Animals Environmental Monitoring Singapore Mammals Noise Machine Learning Acoustics Vocalization, Animal
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Multi-year soundscape recordings and automated call detection reveals varied impact of moonlight on calling activity of neotropical forest katydids.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences May 6, 2024
Night-time light can have profound ecological effects, even when the source is natural moonlight. The impacts of light can, however, vary substantially by taxon, habitat and geographical region. We used a custom machine learning model built with the ...
Vocalization, Animal Light Forests Machine Learning Animals
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Bat2Web: A Framework for Real-Time Classification of Bat Species Echolocation Signals Using Audio Sensor Data.

Sensors (Basel, Switzerland) May 1, 2024
Bats play a pivotal role in maintaining ecological balance, and studying their behaviors offers vital insights into environmental health and aids in conservation efforts. Determining the presence of various bat species in an environment is essential ...
Signal Processing, Computer-Assisted Acoustics Chiroptera Echolocation Vocalization, Animal Neural Networks, Computer Animals
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