A Hearing-Model-Based Active-Learning Test for the Determination of Dead Regions
This article describes a Bayesian active-learning procedure for estimating the edge frequency, f e , of a dead region, that is, a region in the cochlea with no or very few functioning inner hair cells or neurons. The method is based on the psychophysical tuning curve (PTC) but estimates the shape of...
Main Authors: | Josef Schlittenlacher, Richard E. Turner, Brian C. J. Moore |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2018-07-01
|
Series: | Trends in Hearing |
Online Access: | https://doi.org/10.1177/2331216518788215 |
Similar Items
-
A Loudness Model for Time-Varying Sounds Incorporating Binaural Inhibition
by: Brian C. J. Moore, et al.
Published: (2016-12-01) -
Brainstem Encoding of Aided Speech in Hearing Aid Users with Cochlear Dead Region(s)
by: Mohammad Ramadan Hassaan, et al.
Published: (2016-02-01) -
Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study.
by: Young-Soo Chang, et al.
Published: (2019-01-01) -
An introduction to the psychology of hearing /
by: 443978 Moore, Brian C. J.
Published: (1982) -
Global use and outcomes of the hearWHO mHealth hearing test
by: Karina C De Sousa, et al.
Published: (2022-07-01)