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Thoughts on the potential to compensate a hearing loss in noise [version 1; peer review: 2 approved]
Autor:
Marc René Schädler
Publikováno v:
F1000Research, Vol 10 (2021)
Background: The effect of hearing impairment on speech perception was described by Plomp (1978) as a sum of a loss of class A, due to signal attenuation, and a loss of class D, due to signal distortion. While a loss of class A can be compensated by l
Externí odkaz:
https://doaj.org/article/1f3f43e6896a4063a74346f6b975fb5b
Publikováno v:
Trends in Hearing, Vol 20 (2016)
To characterize the individual patient’s hearing impairment as obtained with the matrix sentence recognition test, a simulation Framework for Auditory Discrimination Experiments (FADE) is extended here using the Attenuation and Distortion (A+D) app
Externí odkaz:
https://doaj.org/article/6db94412c77e4daabc1fd6d367c68ae9
Autor:
Anna Warzybok, Birger Kollmeier, Marc René Schädler, Mareike Buhl, Nina Wardenga, David Hülsmeier
Publikováno v:
International Journal of Audiology. 61:205-219
A model-based determination of the average supra-threshold (���distortion���) component of hearing impairment which limits the benefit of hearing aid amplification. Published speech recognition thresholds (SRTs) were predicted with the fr
Publikováno v:
International Journal of Audiology. 60:16-26
As a step towards the development of an audiological diagnostic supporting tool employing machine learning methods, this article aims at evaluating the classification performance of different audiological measures as well as Common Audiological Funct
Publikováno v:
International Journal of Audiology. 59:534-547
Objective: Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiologica
Publikováno v:
Trends in Hearing
The benefit in speech-recognition performance due to the compensation of a hearing loss can vary between listeners, even if unaided performance and hearing thresholds are similar. To accurately predict the individual performance benefit due to a spec
Publikováno v:
Hearing research. 395
Listeners with hearing impairment show sub-optimal processing of acoustic signals which affects their ability to recognize speech. In this contribution, three effective signal processing deficits are proposed to simulate sensorineural hearing impairm
Publikováno v:
The Journal of the Acoustical Society of America. 146(6)
Sound onsets provide particularly valuable cues for musical instrument identification by human listeners. It has remained unclear whether this onset advantage is due to enhanced perceptual encoding or the richness of acoustical information during ons
Developing and selecting hearing aids is a time consuming process which is simplified by using objective models. Previously, the framework for auditory discrimination experiments (FADE) accurately simulated benefits of hearing aid algorithms with roo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad6d5a30a57da17973b480ac464a47d
Autor:
Marc René Schädler
Publikováno v:
Acta Acustica. 6:31
In their everyday life, the speech recognition performance of human listeners is influenced by diverse factors, such as the acoustic environment, the talker and listener positions, possibly impaired hearing, and optional hearing devices. Prediction m