AIMC Topic: Acoustics

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Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Scientific reports Jul 2, 2025
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic features linked to conditions such as preterm birth. However, previous studies have focused on limited and specific acoustic features, hindering a more compr...
Neural Networks, Computer Female Infant, Newborn Humans Infant, Premature Gestational Age Crying Male Acoustics Sound Spectrography
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Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees.

PloS one Jun 18, 2025
Pollinator populations are declining globally at an unprecedented rate, driven by factors such as pathogens, habitat loss, climate change, and the widespread application of pesticides. Although colony losses remain difficult to prevent, precision bee...
Markov Chains Bees Pesticides Animals Acoustics Chlorpyrifos Hidden Markov Models
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Optimal feature selection and model explanation for reef fish sound classification.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 12, 2025
Fish produce a wide variety of sounds that contribute to the soundscapes of aquatic environments. In reef systems, these sounds are important acoustic cues for various ecological processes. Artificial intelligence methods to detect, classify and iden...
Algorithms Animals Acoustics Artificial Intelligence Sound Vocalization, Animal Fishes Coral Reefs
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Acoustic monitoring for tropical insect conservation.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 12, 2025
Monitoring the species-specific sounds produced by insects could provide us with a rapid, reliable, non-invasive measure of tropical ecosystem health and biodiversity. Although acoustic biodiversity monitoring has made rapid progress over the past de...
Environmental Monitoring Biodiversity Rainforest Acoustics Tropical Climate Insecta Animals Conservation of Natural Resources Vocalization, Animal
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Decoding Poultry Welfare from Sound-A Machine Learning Framework for Non-Invasive Acoustic Monitoring.

Sensors (Basel, Switzerland) May 5, 2025
Acoustic monitoring presents a promising, non-invasive modality for assessing animal welfare in precision livestock farming. In poultry, vocalizations encode biologically relevant cues linked to health status, behavioral states, and environmental str...
Poultry Chickens Acoustics Sound Animal Welfare Vocalization, Animal Machine Learning Animals
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Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.

PLoS computational biology Apr 28, 2025
Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to de...
Acoustics Fishes Coral Reefs Neural Networks, Computer Environmental Monitoring Unsupervised Machine Learning Animals Artificial Intelligence Ecosystem Machine Learning Computational Biology Algorithms
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Multiclass CNN Approach for Automatic Classification of Dolphin Vocalizations.

Sensors (Basel, Switzerland) Apr 16, 2025
Monitoring dolphins in the open sea is essential for understanding their behavior and the impact of human activities on the marine ecosystems. Passive Acoustic Monitoring (PAM) is a non-invasive technique for tracking dolphins, providing continuous d...
Neural Networks, Computer Animals Acoustics Sound Spectrography Bottle-Nosed Dolphin Dolphins Vocalization, Animal Echolocation
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach.

Journal of medical Internet research Apr 14, 2025
BACKGROUND: Crisis hotlines serve as a crucial avenue for the early identification of suicide risk, which is of paramount importance for suicide prevention and intervention. However, assessing the risk of callers in the crisis hotline context is cons...
Hotlines Suicide Acoustics Adult Male Risk Assessment China Suicide Prevention Humans Suicidal Ideation Machine Learning Female
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Explainable classification of goat vocalizations using convolutional neural networks.

PloS one Apr 1, 2025
Efficient precision livestock farming relies on having timely access to data and information that accurately describes both the animals and their surrounding environment. This paper advances classification of goat vocalizations leveraging a publicly ...
Vocalization, Animal Animals Goats Acoustics Neural Networks, Computer Machine Learning
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Multidisciplinary characterization of embarrassment through behavioral and acoustic modeling.

Scientific reports Mar 20, 2025
Embarrassment is a social emotion that shares many characteristics with social anxiety (SA). Most people experience embarrassment in their daily lives, but it is quite overlooked in research. We characterized embarrassment through an interdisciplinar...
Emotions Humans Male Acoustics Female Machine Learning Anxiety Young Adult Adult
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