Hearing Aid Personalization

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2013Researchpeer-review

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Modern 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.
Original languageEnglish
Title of host publicationProceedings of the 3rd NIPS Workshop on Machine Learning and Interpretation in Neuroimaging 2013
Number of pages4
Publication date2013
Publication statusPublished - 2013
Event27th Annual Conference on Neural Information Processing Systems (NIPS 2013) - Lake Tahoe, Nevada, United States
Duration: 5 Dec 201310 Dec 2013


Conference27th Annual Conference on Neural Information Processing Systems (NIPS 2013)
CountryUnited States
CityLake Tahoe, Nevada
Internet address

ID: 74170518