AIMC Topic: Acoustics

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Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jun 12, 2025
Machine learning has the potential to revolutionize passive acoustic monitoring (PAM) for ecological assessments. However, high annotation and computing costs limit the field's adoption. Generalizable pretrained networks can overcome these costs, but...
Coral Reefs Acoustics Sound Vocalization, Animal Machine Learning Animals Birds Environmental Monitoring
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[Acoustic technology empowers the diagnosis and treatment of respiratory diseases: challenges, and prospects].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Jun 12, 2025
Respiratory diseases is a major challenge to global public health. In recent years, acoustic technology has shown great potential as a non-invasive and convenient diagnostic method for detecting and monitoring respiratory diseases. With the developme...
Algorithms Signal Processing, Computer-Assisted Acoustics Respiratory Tract Diseases Humans Machine Learning
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A Roadmap to Holographic Focused Ultrasound Approaches for Generating Gradient Thermal Patterns.

International journal for numerical methods in biomedical engineering Jun 1, 2025
In therapeutic focused ultrasound (FUS), such as thermal ablation and hyperthermia, effective acousto-thermal manipulation requires precise targeting of complex geometries, sound wave propagation through irregular structures, and selective focusing a...
Humans Machine Learning Temperature Acoustics Holography
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Classification of sounds from Pacific white-sided dolphins using a convolutional neural network and a method to reduce false-positive detections.

The Journal of the Acoustical Society of America Jun 1, 2025
An automatic detector for identifying the clicks and pulsed calls of Pacific white-sided dolphins (Lagenorhynchus obliquidens) was developed using a convolutional neural network architecture for passive acoustic monitoring, particularly in the areas ...
Sound Spectrography Dolphins Vocalization, Animal Convolutional Neural Networks Signal Processing, Computer-Assisted Neural Networks, Computer Japan Animals Acoustics
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Quantifying Area Back Scatter of Marine Organisms in the Arctic Ocean by Machine Learning-Based Post-Processing of Volume Back Scatter.

Sensors (Basel, Switzerland) May 15, 2025
As the sea ice reduces in both extent and thickness and the Arctic Ocean opens, there is substantial interest in mapping the marine ecosystem in this remote and until now largely inaccessible ocean. We used the during surveys in the Central Arctic O...
Aquatic Organisms Acoustics Fishes Oceans and Seas Machine Learning Animals Ecosystem Arctic Regions
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Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.

Nature communications May 8, 2025
Human-machine voice interaction based on speech recognition offers an intuitive, efficient, and user-friendly interface, attracting wide attention in applications such as health monitoring, post-disaster rescue, and intelligent control. However, conv...
Signal Processing, Computer-Assisted Acoustics Man-Machine Systems Voice Neural Networks, Computer Deep Learning Noise Humans
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Different Performances of Machine Learning Models to Classify Dysphonic and Non-Dysphonic Voices.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVE: To analyze the performance of 10 different machine learning (ML) classifiers for discrimination between dysphonic and non-dysphonic voices, using a variance threshold as a method for the selection and reduction of acoustic measurements use...
Dysphonia Speech Acoustics Speech Production Measurement Voice Quality Middle Aged Case-Control Studies Reproducibility of Results Bayes Theorem Predictive Value of Tests Humans Young Adult Signal Processing, Computer-Assisted Machine Learning Adult Female Acoustics Male Sound Spectrography
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Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...
Speech Production Measurement Deep Learning Voice Quality Time Factors Judgment Humans Reproducibility of Results Signal Processing, Computer-Assisted Predictive Value of Tests Speech Acoustics Neural Networks, Computer Adult Acoustics Voice Disorders Female Male Observer Variation Severity of Illness Index Automation
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Detection of Neurogenic Voice Disorders Using the Fisher Vector Representation of Cepstral Features.

Journal of voice : official journal of the Voice Foundation May 1, 2025
Neurogenic voice disorders (NVDs) are caused by damage or malfunction of the central or peripheral nervous system that controls vocal fold movement. In this paper, we investigate the potential of the Fisher vector (FV) encoding in automatic detection...
Vocal Cord Paralysis Vocal Cords Voice Disorders Speech Production Measurement Phonation Voice Quality Dysphonia Signal Processing, Computer-Assisted Acoustics Sound Spectrography Speech Acoustics Case-Control Studies Support Vector Machine Humans Predictive Value of Tests Databases, Factual Female Reproducibility of Results Aged Young Adult Adult Male Middle Aged
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Classification of Bryde's whale individuals using high-resolution time-frequency transforms and support vector machines.

The Journal of the Acoustical Society of America Mar 1, 2025
Whales generate vocalizations which may, deliberately or not, encode caller identity cues. In this study, we analyze calls produced by Bryde's whales and recorded by ocean-bottom arrays of hydrophones deployed close to the Costa Rica Rift in the Pana...
Signal Processing, Computer-Assisted Acoustics Sound Spectrography Vocalization, Animal Fourier Analysis Whales Animals Time Factors Support Vector Machine
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