'Soundscapes' are an increasingly active topic in Human-Computer Interaction (HCI) and
interaction design. From map** acoustic environments through sound recordings to …

This paper provides a review of various machine learning approaches that have appeared
in the literature aimed at individualizing or personalizing the amplification settings of hearing …

This study investigated a method to adjust hearing-aid gain by use of a machine-learning
algorithm that estimates the optimal setting of gain parameters based on user preference …

Objective We investigated whether contrasts between situations of good and difficult
listening experiences could be identified in objective hearing aid (HA) data, with the aim to …

Adjusting the settings of hearing aids in a clinic is challenging as the measured thresholds of
audibility do not reflect many aspects of cognitive perception or the resulting differences in …

Individuals have different preferences for setting hearing aid (HA) algorithms that reduce
ambient noise but introduce signal distortions.“Noise haters” prefer greater noise reduction …

Introduction: By means of adding more sensor technology, modern hearing aids (HAs) strive
to become better, more personalized, and self-adaptive devices that can handle …

Sensors in our phones and wearables, leave digital traces of our activities. With active user
participation, these devices serve as personal sensing devices, giving insights to human …

With the recent rise of smartphone ownership, more applications have been created that
connect user's hearing aids to their smartphone. One type of application that has become …

Despite having different audiological preferences, hearing aid users are usually provided
with default settings. This lack of personalization is due to a scarcity of audiological …