Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation

Raul Sanchez Lopez*, Michal Fereczkowski, Tobias Neher, Sébastien Santurette, Torsten Dau

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Currently, the clinical characterization of hearing deficits for hearing-aid fitting is based on the pure-tone audiogram only. This relies on the assumption that the audiogram can predict performance in complex, supra-threshold tasks. Sanchez-Lopez et al. (2018) hypothesized that the hearing deficits of a given listener, both at threshold and supra-threshold levels, result from two independent types of auditory distortions. The authors performed a datadriven analysis of two large datasets with results from several tests, which led to the identification of four auditory profiles. However, the definition of the two types of distortion was challenged by differences between the two datasets in terms of the tests and listeners considered. In the Better hEAring Rehabilitation (BEAR) project, a new dataset was generated with the aim of overcoming these limitations. A heterogeneous group of listeners was tested using measures of speech intelligibility, loudness perception, binaural processing abilities and spectro-temporal resolution. As a consequence, the auditory profiles of Sanchez-Lopez et al. (2018) were refined. The updated auditory profiles, together with the investigation of optimal hearing-aid compensation strategies, are expected to form a solid basis for improved hearing-aid fitting.
Original languageEnglish
Title of host publicationProceedings of the International Symposium on Auditory and Audiological Research : Auditory Learning in Biological and Artificial Systems
Volume7
PublisherThe Danavox Jubilee Foundation
Publication date2020
Pages281-288
Publication statusPublished - 2020
EventInternational Symposium on Auditory and Audiological Research: Auditory Learning in Biological and Artificial Systems - Nyborg, Denmark
Duration: 21 Aug 201923 Aug 2019
http://isaar.eu

Conference

ConferenceInternational Symposium on Auditory and Audiological Research
CountryDenmark
CityNyborg
Period21/08/201923/08/2019
Internet address
SeriesProceedings of the International Symposium on Audiological and Auditory Research
Volume7
ISSN2596-5522

Keywords

  • Hearing loss
  • Data-driven profiling
  • Hearing rehabilitation
  • Hearing deficits
  • Supra-threshold distortion

Cite this

Sanchez Lopez, R., Fereczkowski, M., Neher, T., Santurette, S., & Dau, T. (2020). Robust auditory profiling: Improved data-driven method and profile definitions for better hearing rehabilitation. In Proceedings of the International Symposium on Auditory and Audiological Research: Auditory Learning in Biological and Artificial Systems (Vol. 7, pp. 281-288). The Danavox Jubilee Foundation. Proceedings of the International Symposium on Audiological and Auditory Research, Vol.. 7