Developing a Novel Hearing Aid Framework Using Machine Learning and a Model of the Impaired Cochlea

This project proposes a hearing aid framework based on Artificial Neural Network (ANN) and Cascade of Asymmetric Resonators with Fast-Acting Compression (CARFAC) model.

Continue ReadingDeveloping a Novel Hearing Aid Framework Using Machine Learning and a Model of the Impaired Cochlea

Developing novel electrical stimulation strategies for cochlear implant users based on a model of the healthy human cochlea

In this paper, it has been shown that a novel electrical stimulation strategy that is based on healthy cochlea, can produce neurograms that resemble the simulated neural activity of a healthy cochlea more that those produced by a current algorithm used in cochlear implants (ACE).

Continue ReadingDeveloping novel electrical stimulation strategies for cochlear implant users based on a model of the healthy human cochlea

Examining the Impact of Hearing Impairment on Neural Patterns in Spatial Attentional Filtering

Here we explore how hearing loss affects attentional subprocesses such as target selection and distractor suppression, using EEG to examine alpha modulation patterns in normal-hearing young and elderly individuals, as well as elderly individuals with hearing loss.

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An Analysis of Reasons for Speech-in-Noise Deficits Based on Clinical Use of LiSN-S

Spatial processing disorder, a long-term consequence of otitis media early in life, is an extremely common cause of speech in noise deficits that occur despite hearing thresholds being normal.

Continue ReadingAn Analysis of Reasons for Speech-in-Noise Deficits Based on Clinical Use of LiSN-S

A 3D computational model framework of the stimulated peripheral auditory system

This study presents a comprehensive computational modeling framework of the peripheral auditory system, integrating 3D volume geometries with numerical simulation to investigate the mechanisms of electrically and acoustically stimulated cochlear implants, with potential applications in clinical fitting, neural health assessment, and perceptual tasks for cochlear implant patients.

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Temporal interactions between pulses in CI users: a look through the modelling of neural distortion responses

We used modelling to investigate whether phenomena such as refractoriness and facilitation as early as the auditory nerve are sufficient to create a neural distortion response.

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Open-source auditory models of normal-hearing and hearing-impaired processing

This workshop aims to demonstrate how openly accessible auditory models can help us simulate auditory processing for normal-hearing and hearing-impaired listeners, and how they can be used to develop optimal sound-processing strategies for real-world applications such as hearing aids.

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Design of an End-to-End Deep Learning Sound Coding Strategy for Cochlear Implants and Validation through an Objective Metric based on Mutual Information

In this presentation we explore Deep ACE, an end-to-end speech-denoising sound coding strategy for cochlear implants. Its performance is evaluated using vSAMII, an objective metric based on mutual information that incorporates a physiological model of the human auditory system.

Continue ReadingDesign of an End-to-End Deep Learning Sound Coding Strategy for Cochlear Implants and Validation through an Objective Metric based on Mutual Information

A Non-spiking Model of an Electrically Stimulated Auditory Nerve Fiber

We propose an adaptive leaky-integrate and firing probability (aLIFP) model of an electrically stimulated auditory nerve fiber, which outputs the spike probability distribution over time and accounts for refractoriness, facilitation, accommodation, and long-term adaptation.

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Acoustic response of ear canal combined between ear simulator and acoustic coupled cavity by numerical simulation computation and actual measurement

Acoustic response of ear canal combined between ear simulator and acoustic coupled cavity by numerical simulation computation and actual measurement.

Continue ReadingAcoustic response of ear canal combined between ear simulator and acoustic coupled cavity by numerical simulation computation and actual measurement

Unintentional cues in psychophysical spectral ripple tests: Insights from models of acoustic and electric hearing

Using models of acoustic and electric hearing, we were able to visualize unintentional cues in the spectral ripple test and spectrally modulated ripple test.

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From business need to model monitoring: Optimizing manufacturing of custom hearing aids with machine learning

This presentation will introduce a framework used for developing and deploying cloud-based machine learning models in the context of a project aimed at optimizing manufacturing of custom (in-the-ear style) hearing aids by improved detection of electroacoustic test failures due to feedback.

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Neural Networks Hear You Loud and Clear: Hearing Loss Compensation Using Deep Neural Networks

This study investigates using deep neural networks to provide hearing loss compensation for people with hearing loss, showing promising results in speech intelligibility and perceived quality.

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Simulation of unilateral and bilateral cochlear implant for speech recognition in spatialized noise

Effect of unilateral and bilateral cochlear implants on speech recognition performance in spatialized noise can be simulated using a channel vocoder with dense tonal carriers.

Continue ReadingSimulation of unilateral and bilateral cochlear implant for speech recognition in spatialized noise