Raul Sanchez-Lopez
Robust Data-Driven Auditory Profiling Towards Precision Audiology
Sanchez-Lopez, Raul; Fereczkowski, Michal; Neher, Tobias; Santurette, S�bastien; Dau, Torsten
Authors
Michal Fereczkowski
Tobias Neher
S�bastien Santurette
Torsten Dau
Abstract
The sources and consequences of a sensorineural hearing loss are diverse. While several approaches have aimed at disentangling the physiological and perceptual consequences of different etiologies, hearing deficit characterization and rehabilitation have been dominated by the results from pure-tone audiometry. Here, we present a novel approach based on data-driven profiling of perceptual auditory deficits that attempts to represent auditory phenomena that are usually hidden by, or entangled with, audibility loss. We hypothesize that the hearing deficits of a given listener, both at hearing threshold and at suprathreshold sound levels, result from two independent types of “auditory distortions.” In this two-dimensional space, four distinct “auditory profiles” can be identified. To test this hypothesis, we gathered a data set consisting of a heterogeneous group of listeners that were evaluated using measures of speech intelligibility, loudness perception, binaural processing abilities, and spectrotemporal resolution. The subsequent analysis revealed that distortion type-I was associated with elevated hearing thresholds at high frequencies and reduced temporal masking release and was significantly correlated with elevated speech reception thresholds in noise. Distortion type-II was associated with low-frequency hearing loss and abnormally steep loudness functions. The auditory profiles represent four robust subpopulations of hearing-impaired listeners that exhibit different degrees of perceptual distortions. The four auditory profiles may provide a valuable basis for improved hearing rehabilitation, for example, through profile-based hearing-aid fitting.
Citation
Sanchez-Lopez, R., Fereczkowski, M., Neher, T., Santurette, S., & Dau, T. (2020). Robust Data-Driven Auditory Profiling Towards Precision Audiology. Trends in Hearing, 24, https://doi.org/10.1177/2331216520973539
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 15, 2020 |
Online Publication Date | Dec 3, 2020 |
Publication Date | 2020-01 |
Deposit Date | Jul 28, 2022 |
Publicly Available Date | Jul 29, 2022 |
Journal | Trends in Hearing |
Electronic ISSN | 2331-2165 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 24 |
DOI | https://doi.org/10.1177/2331216520973539 |
Keywords | Speech and Hearing; Otorhinolaryngology |
Public URL | https://nottingham-repository.worktribe.com/output/7477830 |
Publisher URL | https://journals.sagepub.com/doi/10.1177/2331216520973539 |
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