AIMC Topic: Persons with Hearing Disabilities
Clear Filters Showing 11 to 20 of 21 articles
An integrated model of pitch perception incorporating place and temporal pitch codes with application to cochlear implant research.
Hearing research
Nov 12, 2016
Although the neural mechanisms underlying pitch perception are not yet fully understood, there is general agreement that place and temporal representations of pitch are both used by the auditory system. This paper describes a neural network model of ...
Software intelligent system for effective solutions for hearing impaired subjects.
International journal of medical informatics
Oct 14, 2016
PURPOSE: The anatomy and physiology of the ear is complex in nature, which makes it a challenge for audiologists to prescribe solutions for varied hearing-impaired subjects. There is a need to increase the satisfaction level of hearing-aid users by a...
A neural-based vocoder implementation for evaluating cochlear implant coding strategies.
Hearing research
Jan 14, 2016
Most simulations of cochlear implant (CI) coding strategies rely on standard vocoders that are based on purely signal processing techniques. However, these models neither account for various biophysical phenomena, such as neural stochasticity and ref...
Psychoacoustics
Speech Acoustics
Signal Processing, Computer-Assisted
Adult
Stochastic Processes
Prosthesis Design
Humans
Male
Auditory Threshold
Acoustic Stimulation
Middle Aged
Voice Quality
Time Factors
Auditory Pathways
Loudness Perception
Neural Networks, Computer
Electroencephalography
Cochlear Implantation
Electric Stimulation
Computer Simulation
Cochlear Implants
Female
Persons with Hearing Disabilities
Speech Perception
Neural-WDRC: A Deep Learning Wide Dynamic Range Compression Method Combined With Controllable Noise Reduction for Hearing Aids.
Trends in hearing
Jan 1, 2025
Wide dynamic range compression (WDRC) and noise reduction both play important roles in hearing aids. WDRC provides level-dependent amplification so that the level of sound produced by the hearing aid falls between the hearing threshold and the highes...
The Impact of Artificial Intelligence on Quality of Life for Deaf and Hard of Hearing Students.
American annals of the deaf
Jan 1, 2024
This research study synthesizes research on applications of artificial intelligence (AI) to transform and improve quality of life for deaf and hard of hearing students. Twenty studies were analyzed, spanning domains including AI-enabled captioning, i...
Performance and Reliability Evaluation of an Automated Bone-Conduction Audiometry Using Machine Learning.
Trends in hearing
Jan 1, 2024
To date, pure-tone audiometry remains the gold standard for clinical auditory testing. However, pure-tone audiometry is time-consuming and only provides a discrete estimate of hearing acuity. Here, we aim to address these two main drawbacks by develo...
Deep learning models to remix music for cochlear implant users.
The Journal of the Acoustical Society of America
Jun 1, 2018
The severe hearing loss problems that some people suffer can be treated by providing them with a surgically implanted electrical device called cochlear implant (CI). CI users struggle to perceive complex audio signals such as music; however, previous...
An algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker.
The Journal of the Acoustical Society of America
Jun 1, 2017
Individuals with hearing impairment have particular difficulty perceptually segregating concurrent voices and understanding a talker in the presence of a competing voice. In contrast, individuals with normal hearing perform this task quite well. This...
Audiometry, Speech
Perceptual Masking
Comprehension
Acoustic Stimulation
Hearing
Speech Intelligibility
Hearing Aids
Persons with Hearing Disabilities
Speech Perception
Auditory Threshold
Hearing Loss, Sensorineural
Correction of Hearing Impairment
Male
Middle Aged
Deep Learning
Signal Processing, Computer-Assisted
Signal-To-Noise Ratio
Humans
Female
Aged
Young Adult
Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners.
The Journal of the Acoustical Society of America
Mar 1, 2017
Machine-learning based approaches to speech enhancement have recently shown great promise for improving speech intelligibility for hearing-impaired listeners. Here, the performance of three machine-learning algorithms and one classical algorithm, Wie...
Acoustic Stimulation
Electric Stimulation
Speech Intelligibility
Aged
Humans
Hearing Aids
Male
Persons with Hearing Disabilities
Neural Networks, Computer
Middle Aged
Machine Learning
Speech Perception
Hearing Loss
Noise
Recognition, Psychology
Female
Signal Processing, Computer-Assisted
Audiometry, Speech
Perceptual Masking
Interactive Games with an Assistive Robotic System for Hearing-Impaired Children.
Studies in health technology and informatics
Jan 1, 2017
This paper presents an assistive robotic system, which can recognize and express sign language words from a predefined set, within interactive games to communicate with and teach hearing-impaired children sign language. The robotic system uses audio,...
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