Hearing Aid Personalization

Jens Brehm Nielsen, Jakob Nielsen, Bjørn Sand Jensen, Jan Larsen

AbstractModern digital hearing aids require and offer a great level of personalization. Today, this personalization is not performed based directly on what the user actually perceives, but on a hearing-care professional’s interpretation of what the user explains about what is perceived. In this paper, an interactive personalization system based on Gaussian process regression and active learning is proposed, which personalize the hearing aids based directly on what the user perceives. Preliminary results demonstrate a significant difference between a truly personalized setting obtained with the proposed system and a setting obtained by the current practice.
TypeConference paper [With referee]
ConferenceNIPS 2013 Workshop on Personalization
Year2013    Month December
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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