Learning user volume control preferences in hearing aids
Keywords:
Adaptive algorithms, Behavioral research, Data acquisition, Learning algorithms, Optimal systems, Volume measurement, Learning user volume control, Real data, Self-learning, Time constantAbstract
The advancements in the learning of user control preferences to minimize the amount of adjustments being made to the hearing aids over time are discussed. The concept of self-learning hearing aids address the issues of fine tuning and optimal adjustment by learning the settings a user prefers in environments that are presented on a daily basis. The learning algorithm learn different user behaviors and behaviors were simulated to supplement any real data. The performance error measures are the average over all phases in a user profile of the difference between the learned value for a phase. The parameters for the three adaptive algorithms are tuned to the best values for the profile and compared to the optimum fixed time constant for the profile. The optimum parameters of hearing aids perform as good as the best fixed time constant on a profile-by-profile basis of a user control.Published
How to Cite
Issue
Section
Copyright on articles is held by the author(s). The corresponding author has the right to grant on behalf of all authors and does grant on behalf of all authors, a worldwide exclusive licence (or non-exclusive license for government employees) to the Publishers and its licensees in perpetuity, in all forms, formats and media (whether known now or created in the future)
i) to publish, reproduce, distribute, display and store the Contribution;
ii) to translate the Contribution into other languages, create adaptations, reprints, include within collections and create summaries, extracts and/or, abstracts of the Contribution;
iii) to exploit all subsidiary rights in the Contribution,
iv) to provide the inclusion of electronic links from the Contribution to third party material where-ever it may be located;
v) to licence any third party to do any or all of the above.