The learning hearing aid: common-sense reasoning in hearing aid circuits

T.M.H. Dijkstra, A. Ypma, B. Vries, de, J.R.G.M. Leenen

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This article discusses how hearing aid engineers have applied the Bayesian probability theory approach to the problem of hearing aid fitting. Currently more an art than a science, it is likely that probability theory will play a large role in future generations of fitting software used by dispensing professionals. We will show that probability theory is consistent with common-sense reasoning, a feature that is not shared by alternative mathematical frameworks for intelligent reasoning. While probability theory gets to the same answers as a consistently reasoning human expert, it can deal with larger problems than a typical human is capable of handling. Since human expertise cannot be replaced by a mathematical system, we expect that mathematical reasoning systems, like the one described here, will serve as an assistant to the dispenser in difficult fitting tasks.
Original languageEnglish
Number of pages11
JournalHearing Review
Issue numberOctober
Publication statusPublished - 2007

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  • Cite this

    Dijkstra, T. M. H., Ypma, A., Vries, de, B., & Leenen, J. R. G. M. (2007). The learning hearing aid: common-sense reasoning in hearing aid circuits. Hearing Review, (October).