AIMC Topic: Vocalization, Animal

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Automatic classification of dog barking using deep learning.

Behavioural processes Apr 20, 2024
Barking and other dog vocalizations have acoustic properties related to emotions, physiological reactions, attitudes, or some particular internal states. In the field of intelligent audio analysis, researchers use methods based on signal processing a...
Female Animals Neural Networks, Computer Dogs Vocalization, Animal Male Deep Learning
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Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers.

Journal of the Royal Society, Interface Oct 18, 2023
With their highly social nature and complex vocal communication system, marmosets are important models for comparative studies of vocal communication and, eventually, language evolution. However, our knowledge about marmoset vocalizations predominant...
Language Callithrix Animals Humans Deep Learning Machine Learning Vocalization, Animal
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DISCO: A deep learning ensemble for uncertainty-aware segmentation of acoustic signals.

PloS one Jul 26, 2023
Recordings of animal sounds enable a wide range of observational inquiries into animal communication, behavior, and diversity. Automated labeling of sound events in such recordings can improve both throughput and reproducibility of analysis. Here, we...
Acoustics Vocalization, Animal Uncertainty Whales Animals Deep Learning Reproducibility of Results
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Using machine learning to decode animal communication.

Science (New York, N.Y.) Jul 13, 2023
New methods promise transformative insights and conservation benefits.
Machine Learning Animals Datasets as Topic Vocalization, Animal
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Deep audio embeddings for vocalisation clustering.

PloS one Jul 10, 2023
The study of non-human animals' communication systems generally relies on the transcription of vocal sequences using a finite set of discrete units. This set is referred to as a vocal repertoire, which is specific to a species or a sub-group of a spe...
Animals Cluster Analysis Machine Learning Algorithms Mammals Vocalization, Animal
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Automated identification of chicken distress vocalizations using deep learning models.

Journal of the Royal Society, Interface Jun 29, 2022
The annual global production of chickens exceeds 25 billion birds, which are often housed in very large groups, numbering thousands. Distress calling triggered by various sources of stress has been suggested as an 'iceberg indicator' of chicken welfa...
Vocalization, Animal Animals Deep Learning Neural Networks, Computer Chickens Noise
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Computational bioacoustics with deep learning: a review and roadmap.

PeerJ Mar 21, 2022
Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and ecosystems. They are studied in bioacoustics and ecoacoustics, with signal processing and analysis a...
Ecosystem Deep Learning Animals Vocalization, Animal Signal Processing, Computer-Assisted Acoustics
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Design of a robotic zebra finch for experimental studies on developmental song learning.

The Journal of experimental biology Feb 10, 2022
Birdsong learning has been consolidated as the model system of choice for exploring the biological substrates of vocal learning. In the zebra finch (Taeniopygia guttata), only males sing and they develop their song during a sensitive period in early ...
Learning Animals Male Robotics Finches Robotic Surgical Procedures Vocalization, Animal
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Automated annotation of birdsong with a neural network that segments spectrograms.

eLife Jan 20, 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. Automated methods for annotation have been proposed, but th...
Vocalization, Animal Finches Animals Models, Biological Neural Networks, Computer
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Measuring context dependency in birdsong using artificial neural networks.

PLoS computational biology Dec 28, 2021
Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart in the produced sequence. Assessing how long the past context has an effect on the current status provides crucial inform...
Computational Biology Finches Animals Cluster Analysis Neural Networks, Computer Male Memory Algorithms Vocalization, Animal
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