AI Medical Compendium Journal:
The Journal of the Acoustical Society of America

Showing 1 to 10 of 100 articles

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 ...
Neural Networks, Computer Animals Acoustics Sound Spectrography Dolphins Vocalization, Animal Convolutional Neural Networks Signal Processing, Computer-Assisted Japan
View on PubMed DOI

Machine-learning based classification of middle-ear fixation and separation using sweep frequency impedance information reflecting middle-ear dynamics.

The Journal of the Acoustical Society of America May 1, 2025
The sweep frequency impedance (SFI) meter is an apparatus that delivers a frequency-sweeping sound into the ear canal and evaluates dynamic characteristics of the middle ear based on changes in sound pressure in the ear canal. We have renewed the SFI...
Acoustic Impedance Tests Ear Ossicles Signal Processing, Computer-Assisted Pressure Ear, Middle Machine Learning Humans Female Adult Middle Aged Young Adult Male ROC Curve
View on PubMed DOI

A WaveNet-based model for predicting the electroglottographic signal from the acoustic voice signal.

The Journal of the Acoustical Society of America Apr 1, 2025
The electroglottographic (EGG) signal offers a non-invasive approach to analyze phonation. It is known, if not obvious, that the onset of vocal fold contacting has a substantial effect on how the vocal folds vibrate and on the quality of the voice. G...
Humans Neural Networks, Computer Adult Male Signal Processing, Computer-Assisted Speech Acoustics Retrospective Studies Female Young Adult Vocal Cords Electrodiagnosis Voice Voice Quality Phonation Glottis
View on PubMed DOI

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...
Animals Time Factors Sound Spectrography Vocalization, Animal Fourier Analysis Whales Support Vector Machine Signal Processing, Computer-Assisted Acoustics
View on PubMed DOI

The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals.

The Journal of the Acoustical Society of America Mar 1, 2025
Vocal intensity is quantified by sound pressure level (SPL). The SPL can be measured by either using a sound level meter or by comparing the energy of the recorded speech signal with the energy of the recorded calibration tone of a known SPL. Neither...
Pressure Speech Acoustics Speech Production Measurement Humans Voice Quality Machine Learning Case-Control Studies Female Signal Processing, Computer-Assisted Male Sound Spectrography Middle Aged Aged Adult
View on PubMed DOI

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural networka).

The Journal of the Acoustical Society of America Mar 1, 2025
The quantity of passive acoustic data collected in marine environments is rapidly expanding; however, the software developments required to meaningfully process large volumes of soundscape data have lagged behind. A significant bottleneck in the anal...
Coral Reefs United States Virgin Islands Sound Spectrography Fishes Vocalization, Animal Humans Neural Networks, Computer Animals Acoustics Sound Time Factors Signal Processing, Computer-Assisted
View on PubMed DOI

The development of deep convolutional generative adversarial network to synthesize odontocetes' clicks.

The Journal of the Acoustical Society of America Jan 1, 2025
Odontocetes are capable of dynamically changing their echolocation clicks to efficiently detect targets, and learning their clicking strategy can facilitate the design of man-made detecting signals. In this study, we developed deep convolutional gene...
Bottle-Nosed Dolphin Vocalization, Animal Echolocation Generative Adversarial Networks Porpoises Deep Learning Signal Processing, Computer-Assisted Acoustics Sound Spectrography Neural Networks, Computer Animals
View on PubMed DOI

Using articulatory feature detectors in progressive networks for multilingual low-resource phone recognitiona).

The Journal of the Acoustical Society of America Nov 1, 2024
Systems inspired by progressive neural networks, transferring information from end-to-end articulatory feature detectors to similarly structured phone recognizers, are described. These networks, connecting the corresponding recurrent layers of pre-tr...
Speech Production Measurement Speech Recognition Software Phonetics Speech Acoustics Multilingualism Humans Neural Networks, Computer Language
View on PubMed DOI

Speech intelligibility prediction based on a physiological model of the human ear and a hierarchical spiking neural network.

The Journal of the Acoustical Society of America Sep 1, 2024
A speech intelligibility (SI) prediction model is proposed that includes an auditory preprocessing component based on the physiological anatomy and activity of the human ear, a hierarchical spiking neural network, and a decision back-end processing b...
Noise Humans Acoustic Stimulation Neural Networks, Computer Auditory Pathways Computer Simulation Speech Intelligibility Cochlea Speech Perception Otoacoustic Emissions, Spontaneous Ear, Middle Otosclerosis
View on PubMed DOI

Automated detection of Bornean white-bearded gibbon (Hylobates albibarbis) vocalizations using an open-source framework for deep learning.

The Journal of the Acoustical Society of America Sep 1, 2024
Passive acoustic monitoring is a promising tool for monitoring at-risk populations of vocal species, yet, extracting relevant information from large acoustic datasets can be time-consuming, creating a bottleneck at the point of analysis. To address t...
Sound Spectrography Vocalization, Animal Hylobates Borneo Deep Learning Signal Processing, Computer-Assisted Animals Acoustics
View on PubMed DOI
Popular Topics
Popular Journals