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      Speech recognition with hearing aids for 10 standard audiograms : English version Translated title: Sprachverstehen mit Hörgeräten für 10 Standardaudiogramme

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          Abstract

          Background

          Improvement of speech perception in quiet is an important goal of hearing aid provision. In practice, results are highly variable. The aim of this study was to investigate the relationship between type and extent of hearing loss (audiogram type), maximum word recognition score, and aided speech perception.

          Materials and methods

          Pure tone and speech audiometric data of 740 ears in 370 patients were reviewed. All subjects visited our hearing center for hearing aid evaluation between 2012 and 2017. The maximum word recognition score (WRS max) and the monosyllabic speech recognition score with hearing aids, WRS 65(HA) were analyzed for 10 different standard audiogram types.

          Results

          The WRS 65(HA) with hearing aids for different degrees of hearing loss is, within error boundaries, comparable to previous investigations and shows a difference of 10–20 percentage points to the WRS max. This difference tends to be larger for flat and moderately sloping audiograms compared to steep-sloping audiograms. The ratio WRS 65(HA)/WRS max can be interpreted as an efficiency factor for hearing aid provision, since it relates speech recognition with hearing aids to the maximally achievable information carrying capacity of the hearing impaired.

          Conclusion

          The expectation regarding hearing aid provision has to be adjusted according to maximum word recognition score, the derived quality measures, degree of hearing loss, and audiogram type.

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          Most cited references22

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          Standard audiograms for the IEC 60118-15 measurement procedure.

          For the characterization of hearing aids, a new test method has been defined in the new International Electrotechnical Commission (IEC) standard 60118-15. For this characterization, the hearing aid will be set to actual user settings as programmed by standard fitting software from the hearing aid manufacturer. To limit the variation of programming outcomes, 10 standard audiograms, which cover the entire range of audiograms met in clinical practice, have been defined. This article describes how the set of standard audiograms has been developed. This set of standard audiogram has been derived by a vector quantization analysis method on a database of 28,244 audiograms. Using this analysis method, sets of typical audiograms have been obtained of sizes 12 and 60. It turned out that the smaller set could not be used for selecting audiograms as sloping audiograms were absent. Therefore, the larger set has been analyzed to provide seven standard audiograms for flat and moderately sloping hearing loss and three standard audiograms for steep hearing loss.
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            Why Do Hearing Aids Fail to Restore Normal Auditory Perception?

            Hearing loss is a widespread condition that is linked to declines in quality of life and mental health. Hearing aids remain the treatment of choice, but, unfortunately, even state-of-the-art devices provide only limited benefit for the perception of speech in noisy environments. While traditionally viewed primarily a loss of sensitivity, it is now clear that hearing loss has additional effects that cause complex distortions of sound-evoked neural activity that cannot be corrected by amplification alone. Here we describe the effects of hearing loss on neural activity in order to illustrate the reasons why current hearing aids are insufficient and to motivate the use of new technologies to explore directions for improving the next generation of devices.
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              Amplification options for patients with mixed hearing loss.

              To compare amplification options for patients with mixed hearing loss. Devices tested include percutaneous and transcutaneous bone conductors (BCDs) and middle ear implants with their actuator directly coupled to the cochlea.
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                Author and article information

                Contributors
                Ulrich.Hoppe@uk-erlangen.de
                Journal
                HNO
                HNO
                Hno
                Springer Medizin (Heidelberg )
                0017-6192
                1433-0458
                24 March 2020
                24 March 2020
                2020
                : 68
                : Suppl 2
                : 93-99
                Affiliations
                [1 ]GRID grid.411668.c, ISNI 0000 0000 9935 6525, Audiology Department and CI Centre CICERO Ear, Nose and Throat Clinic, , University Hospital Erlangen, ; Waldstraße 1, 91054 Erlangen, Germany
                [2 ]Cochlear Deutschland GmbH & Co. KG, Hannover, Germany
                Article
                843
                10.1007/s00106-020-00843-y
                7403172
                32211930
                f4fa6715-c76b-4ea8-85d9-82c68c57f2e0
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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                Funding
                Funded by: Universitätsklinikum Erlangen (8546)
                Categories
                Original Article
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                © Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2020

                maximum word recognition score,speech audiometry,tone audiometry,speech comprehensibility,iec 60118-15

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