Adaptive environmental classification system for hearing aids
Keywords:Cluster analysis, Feature extraction, Hearing aids, Learning systems, Merging, Adaptive environment, Adaptive learning process, Classification system, Merging environment
AbstractAn adaptive environmental classification system for hearing aids is introduced in which classes can be split and merged based on changes in the environment that the hearing aid is likely to encounter. The classification steps include information that distinguish different types of environments and the classification accuracy depending on the selection of features. The system stores the features in a buffer which is periodically processed to provide a single representative feature vector for the adaptive learning process. The adaptive learning phase begins when user fits the hearing aid and modifies the initial classification system to adapt to the user-specific environments. The general behavior of the adaptive classifier and the process of splitting and merging environment classes is represented by the squares in the center of each cluster represent the class centers.
How to Cite
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.