Schell-Majoor, Lena and Kollmeier, Birger
Mapping aided speech recognition thresholds for model-based hearing aid fitting.
In:
Tagungsband, DAGA 2023 - 49. Jahrestagung für Akustik.
Deutsche Gesellschaft für Akustik e.V., Berlin, pp. 184-187.
ISBN 978-3-939296-21-8
Abstract
In common practice, mainly the audiogram is used to apply standard prescription rules for hearing aid fitting focusing on an optimized speech recognition performance. Model approaches simulating the results of listening experiments measuring. e.g., speech recognition thresholds (SRTs) are well suited to simulate and compare different hearing aid settings, if they appropriately model hearing impairment and aided hearing. For practical applications, performance predictions covering reasonable ranges of systematically varied hearing aid settings should therefore be employed. However, in order to include further dimensions influencing the individual hearing aid benefit, combined prediction maps from different models simulating different dimensions for optimizing hearing aid fitting (e.g., loudness perception, binaural hearing, and perceived audio quality) should be used.
In this proof-of-concept-study the simulation framework for auditory discrimination experiments (FADE) is employed to compute SRT-maps by modeling aided SRTs for systematically varied gain-frequency-curves. FADE uses an automatic speech recognition system which can be used to predict SRTs of listeners with normal and impaired hearing with or without hearing-aid processing. First simulation results and their analyses will be shown and discussed including a comparison to standard prescription rules.
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