Analyzing brain connections in sound tolerance disorders using fMRI and machine learning
Machine learning models identify altered spontaneous brain connections in sound tolerance disorders
Towards an objective measurement of individual listening preferences: Trait consistency and state specificity
We evaluate a measure of individual preferences for noise vs. distortion toward more personalized fine-tuning of hearing aids
Smartphone-facilitated in-situ audiometry for community-based hearing testing
The validity of automated smartphone-facilitated in-situ audiometry
Having choices for enhancing voices: Target speaker extraction in noisy multi-talker environments using deep neural networks
Target speaker-informed speech enhancement approaches can enhance speech perception in noisy multi-talker environments
Measuring frequency selectivity (FS) in normal-hearing and mild sensorineural hearing loss clinical subjects using FS audiogram
Characterising frequency selectivity changes could provide further insights about the underlying cochlear deficits.
PrimeHA: not a hearing aid
Authors: Amelie Hintermaier1; Iko Pieper1; Tamas Harczos1* 1audifon GmbH & Co. KG Background Hearing aid technology is constantly evolving, resulting in ever more sophisticated algorithms and increasingly powerful hardware. The…
A WaveNet-based cochlear filtering and hair cell transduction model for applications in speech and music processing
WaveNet-based auditory model approximation is accurate, computationally efficient, and differentiable.
Mapping measures of vocal reaction time, perceived task demand, and speech recognition to understand the benefits of on-demand processing in hearing aids
We used a multiplicity of measures to evaluate on-demand hearing-aid processing benefits for speech understanding and effort.
A “hilltop” approach for tackling channel interactions in Cochlear Implant users
A “hilltop” approach for maximising loudness and minimising channel interactions in Cochlear Implant users
Diagnosing Noise-Induced Hearing Loss Sustained During Military Service Using Deep Neural Networks
A neural network for diagnosing noise-induced hearing loss from the audioram achieved greater accuracy than existing methods
Smartphone-based hearing tests for a Virtual Hearing Clinic: Influence of ambient noise on the absolute threshold and loudness scaling at home
This study demonstrates reliable and consistent smartphone-based absolute threshold and loudness scaling tests in a home environment
Development of a novel self-assessment hearing loss and communication disability tool (HEAR-COMMAND Tool) based on the ICF standard
Hearing loss and communication disability questionnaire (HEAR-COMMAND Tool) based on the ICF standard
End-to-end deep denoising for cochlear implants
We present a deep neural network that substitutes the cochlear implant sound coding strategy and performs speech denoising.