A Physiologically Explainable Machine Learning Framework for Hearing Aid Development
In this work, we propose a machine learning framework for hearing aid development based on a physiological model of the inner ear (CARFAC) and neural network.
In this work, we propose a machine learning framework for hearing aid development based on a physiological model of the inner ear (CARFAC) and neural network.
This project assessed a novel method of covertly measuring adaptive directionality in hearing aids using simultaneous, inaudible, direction-dependent intensity modulations applied to diffuse background noise.
This study introduces AHEAD-DS, a new sound dataset designed for scene recognition of audiologically relevant environments, and YAMNet+, a sound recognition model.
This study evaluated the importance and effectiveness of using digital technology and reusable materials to provide teleguidance and telemonitoring to new and experienced hearing aid users and its impact on the performance and daily use of hearing aids. The individuals were followed for a period of eight to 12 months. The users' performance was monitored using the Speech Spatial and Qualities of Hearing Scale questionnaire.
In our study, the effects of different presentation methods (live sound, recorded sound, etc.) of stimuli on performance in free-field speech tests performed on individuals using bilateral hearing aids were examined, and significant data were observed in some groups among the presentation methods.
Tiresias is an open, low-power, and wearable-ready platform that enables the development and deployment of hearing aid algorithms using consumer hardware, visual programming, and open-source tools—bridging the gap between clinical needs and embedded system development.
A novel direct-drive hearing device actuator (DHDA) was developed to enhance low-frequency compensation and sound fidelity while providing a non-invasive alternative for treating sensorineural hearing loss.
This talk will be on potentials and challenges in future hearing aid technology, including application of artificial intelligence
How the World Health Organization (WHO) is supporting countries of Eastern Europe and Central Asia in improving access to hearing assistive technology
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.
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.
Ecological Momentary Assessments can provide an accurate prognostic prediction (over 93%, on average) of hearing-aid preference if contextual features, such as the ambient sound level and signal-to-noise ratio, are included.
Studying listeners with moderate hearing impairments, we observed a general hearing aid benefit for music perception and differential effects of fast and slow hearing aid compression on selective musical listening and sound quality ratings.
This presentation will explore the between and within music genre variability on acoustical descriptors and its application to hearing aid evaluation.
The verification and validation methods used in hearing aid centers in Turkiye were examined and it was noticed that hearing aid practitioners in Turkiye don’t use verification tools on a daily basis and prefer validation methods, although many devices are easily accessible in centers.
Receiver-in-ear hearing aid comparison on music perception for hearing-impaired listeners
Method for continuous reporting on hearing aid user key situations using ecological momentary assessment and data logging
We evaluate a measure of individual preferences for noise vs. distortion toward more personalized fine-tuning of hearing aids
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…
We used a multiplicity of measures to evaluate on-demand hearing-aid processing benefits for speech understanding and effort.