Searching auditory phenotypes beyond audiometry from a large clinical dataset

We present a preliminary analysis on a large clinical auditory dataset collected at Rigshospitalet University Hospital in Copenhagen (Denmark) from 1995 to 2022 containing about 300,000 audiometries including pure-tone audiometry, speech audiometry and acoustic reflex thresholds to search for novel auditory phenotypes using a clustering algorithm based on Gaussian mixture models.

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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

Using CARFAC-JAX, a fast, differentiable model of the human cochlea, to efficiently fit personalized hearing loss

When implemented in JAX, CARFAC not only displays rapid calculation time but also allows differentiation relative to its parameters. This facilitates the fast and efficient generation of personalized models of hearing impairment.

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BEARS (Both Ears) – Virtual Reality Training to Improve Binaural Hearing in Children with Bilateral Cochlear Implants

We have designed and are trialling Virtual Reality games to help children with bilateral cochlear implants hear better.

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Exploring the barriers and opportunities in alternate modes of hearing service delivery to address in hearing care uptake: a scoping review

This study reviews the barriers and opportunities in direct-to-consumer hearing services, emphasising the need for future research to address gaps in understanding and to enhance accessibility and utilisation of these services across healthcare settings worldwide

Continue ReadingExploring the barriers and opportunities in alternate modes of hearing service delivery to address in hearing care uptake: a scoping review

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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Vocal emotion recognition in children with cochlear implants and with hearing aids

Vocal emotion recognition in children with hearing aids and children with cochlear implants improves across childhood and adolescence, albeit at a seemingly slower pace compared to children with normal hearing.

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Exploring the Functional Contribution of Alpha Power Lateralization to Auditory Spatial Attention: An EEG-Neurofeedback-Based Study

EEG-Neurofeedback can help people to enhance their auditory spatial attention. Auditory spatial attention is reflected by changes in alpha power in parieto-occipital regions. The corresponding activation patterns can apparently be trained with neurofeedback.

Continue ReadingExploring the Functional Contribution of Alpha Power Lateralization to Auditory Spatial Attention: An EEG-Neurofeedback-Based Study

An Automated Digits-In-Noise Hearing Test Using Automatic Speech Recognition and Text-To-Speech: A Proof-of-Concept Study

The study shows that Digit-in-Noise tests work reasonably well when using Automatic Speech Recognition and Text-to-Speech instead of a user interface and pre-recorded stimuli.

Continue ReadingAn Automated Digits-In-Noise Hearing Test Using Automatic Speech Recognition and Text-To-Speech: A Proof-of-Concept Study

Leveraging Cochlear Implant-Based Spatial Cues for Location-Guided Target Speaker Extraction in Dynamic Environments

We train a compact deep learning model to extract a moving target speaker in the presence of interfering speech and noise, while retaining the spatial information of the target's location in the extracted speech.

Continue ReadingLeveraging Cochlear Implant-Based Spatial Cues for Location-Guided Target Speaker Extraction in Dynamic Environments

Perception of the NAO Robot via Self-Assessments and Behavioural Analyses When Conducting Audiological Tests

Human-robot interaction evaluation when conducting various psychophysical auditory tests showed that using a humanoid robot was enjoyed and favoured more than the standard computer interface.

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Perception of Voice Cues and Speech-in-Speech by Children with Prelingual Single-Sided Deafness and a Cochlear Implant

Children with single-sided deafness and a cochlear implant (CI) can perceive and use voice cues with their CI, although they do so with less accuracy than children with bilateral CIs.

Continue ReadingPerception of Voice Cues and Speech-in-Speech by Children with Prelingual Single-Sided Deafness and a Cochlear Implant

Brain-controlled hearing technology: Setting targets for real-world applications

To assess the requirements of auditory attention decoding (AAD) algorithms for real-world applications of intelligent, brain-controlled hearing technology, we conducted a series of psychoacoustic experiments which quantify the effects of various AAD parameters on user experience for normal hearing and hearing impaired listeners and illustrate that AAD user experience is dependent on the properties of the listening scene as well as the listening context.

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Categorization of Environmental Sounds Based on Pitch-Spectral Correlation and Preliminary Findings in Clinical Population

The study categorizes environmental sounds based on frequency and explores the open-set perceptual findings in individuals with normal hearing, sensorineural hearing loss, and auditory neuropathy spectrum disorder in an Indian context.

Continue ReadingCategorization of Environmental Sounds Based on Pitch-Spectral Correlation and Preliminary Findings in Clinical Population

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

Neural Network Models of Hearing Clarify Factors Limiting Cochlear Implant Outcomes

Deep neural networks trained on simulated CI-stimulated nerve input clarify the role of impoverished peripheral information following suboptimal strategies and incomplete central plasticity in limiting CI users’ performance for realistic auditory tasks.

Continue ReadingNeural Network Models of Hearing Clarify Factors Limiting Cochlear Implant Outcomes

AUDITO: A Web-based Listening Test System for Auditory Research with Cochlear Implant Recipients

A web-based test system has been developed and validated to facilitate data collection and collaboration for cochlear implant research.

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Effect Of Broadband Gain Frequency Shaping On Horizontal Localization Performance In Individuals With Normal Hearing

The study investigates the effect of channel interaction between the bandpass filters in multi-channel Hearing Aids on sound localization abilities. This was done by implementing broadband frequency shaping at low frequency channels. The study finding indicates that custom-written MATLAB code effectively preserves spatial cues, potentially due to characteristics of the filters used and high-resolution signal processing.

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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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That Looks Noisy: Creating an accessible self-report hearing questionnaire

We describe the development and validation of a language-independent ‘Image-based questionnaire’ (IBQ) for assessing hearing in which written descriptions of listening situations are replaced with images (photographs).

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Towards a detection and correction algorithm for expanding applicable time-range of EMAs for challenging situations

The development of a detection and correction algorithm that better aligns the objective sound environment with the Ecological Momentary Assessment (EMA) being completed.

Continue ReadingTowards a detection and correction algorithm for expanding applicable time-range of EMAs for challenging situations