Preference based Personalization of Hearing Aids | Jens Brehm Nielsen
| | Abstract | The procedure involved in fitting hearing aids has become highly extensive, due to the vast number of parameters in modern hearing aids. An interactive system that automatically optimizes the hearing aid setting for individual users is an interesting alternative in comparison with manual hearing aid fitting procedures. In this thesis, an iterative interactive framework for personalization of hearing aids based on user preferences is presented. For a particular user, the framework models a preference function over hearing aid settings with a Gaussian process based on a minimum of observations. An observation is a subjective rating of the overall preference of the processed sound resulting from a particular hearing aid setting. New observations are suggested based a novel active learning criterion developed in this project. With the novel active learning criterion the next subjectively rated setting becomes the setting for which the preference has the highest probability of being larger than the preference for the currently preferred setting given a Gaussian process estimated preference function. Simulations and a pilot experiment show that the framework discovers a personalized setting in few iterations compared with the number of possible settings. Furthermore, the framework has the capability to model complex preference functions, although an improved interactive experimental paradigm is required to account for inconsistent subjective preference assessments. | | Keywords | Gaussiana Processes, Preference Learning, Bayesian Modeling, Active Learning, Hearing Aid Personalization | | Type | Master's thesis [Academic thesis] | | Year | 2010 | | Publisher | IMM-M.Sc.-2010-61, 2010, Technical University of Denmark (DTU), Kgs. Lyngby, Denmark | | Electronic version(s) | [pdf] | | Publication link | http://www.imm.dtu.dk/English/Research/ISP/Publications.aspx?lg=showcommon&id=266193 | | BibTeX data | [bibtex] | | IMM Group(s) | Other |
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