Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component

Hülsmeier, David; Buhl, Mareike; Wardenga, Nina; Warzybok, Anna; Schädler, Marc René; Kollmeier, Birger

doi:10.1080/14992027.2021.1929515

Cited by 4 publications

(4 citation statements)

References 60 publications

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“…Clinical data and modelling work show that the SRT (measured with the German Matrix Test) increases with increasing average hearing loss (approximately < 1 dB SRT loss per 10 dB hearing loss- independent of age [ 21 , 22 ]. By eliminating the factor of hearing loss in an ageing society (by eliminating hearing loss > 20 dB) a single age-dependent factor can be demonstrated (also see Appendix 1 for full statistical analysis).…”

Section: Discussionmentioning

confidence: 99%

Age standardization and time-of-day performance for the Oldenburg Sentence Test (OLSA): results from the population-based Gutenberg Health Study

O’Brien,

Hackenberg,

Döge

et al. 2023

Eur Arch Otorhinolaryngol

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Purpose The Oldenburg Sentence Test (OLSA) is a German matrix test designed to determine speech recognition thresholds (SRT). It is widely used for hearing-aids and cochlear implant fitting, but an age-adjusted standard is still lacking. In addition, knowing that the ability to concentrate is an important factor in OLSA performance, we hypothesized that OLSA performance would depend on the time of day it was administered. The aim of this study was to propose an age standardization for the OLSA and to determine its diurnal performance. Methods The Gutenberg Health Study is an ongoing population-based study and designed as a single-centre observational, prospective cohort study. Participants were interviewed about common otologic symptoms and tested with pure-tone audiometry and OLSA. Two groups—subjects with and without hearing loss—were established. The OLSA was performed in two runs. The SRT was evaluated for each participant. Results were characterized by age in 5-year cohorts, gender and speech recognition threshold (SRT). A time stamp with an hourly interval was also implemented. Results The mean OLSA SRT was − 6.9 ± 1.0 dB (group 1 male) and − 7.1 ± 0.8 dB (group 1 female) showing an inverse relationship with age in the whole cohort, whereas a linear increase was observed in those without hearing loss. OLSA-SRT values increased more in males than in females with increasing age. No statistical significance was found for the diurnal performance. Conclusions A study with 2900 evaluable Oldenburg Sentence Tests is a novelty and representative for the population of Mainz and its surroundings. We postulate an age- and gender-standardized scale for the evaluation of the OLSA. In fact, with an intergroup standard deviation (of about 1.5 dB) compared to the age dependence of 0.7 dB/10 years, this age normalization should be considered as clinically relevant.

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Section: Discussionmentioning

confidence: 99%

Age standardization and time-of-day performance for the Oldenburg Sentence Test (OLSA): results from the population-based Gutenberg Health Study

O’Brien,

Hackenberg,

Döge

et al. 2023

Eur Arch Otorhinolaryngol

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“… Kidd et al (2019 ) hence argued that the performance of the relatively poor subjects “appears to be a reflection of a more general problem affecting multiple abilities rather than being strongly related to reduced resolution of any specific cue per se.” This is in line with the notion that no specific and distinct binaural impairment factor can be singled out—as discussed in the introduction—but instead a general suprathreshold processing deficit causes variations across hearing-impaired subjects, such as the “D-component” (for “distortion”) proposed by Plomp (1978 ). Such a “D-component” was employed in recent modelling approaches by Kollmeier et al (2016 ) and Hülsmeier et al (2021 ) as an individual jitter of the internal stimulus representation, which could be interpreted as an individual factor to describe the capacity to process the available information (beyond what is lost by limited or only partly restored audibility). Again, it should be emphasized that the present sample size is too small to draw conclusions about the general HI population, especially since many individual traits and basic psychoacoustic performance metrics were not measured.…”

Section: General Discussion and Conclusionmentioning

confidence: 99%

Spatio-temporal Integration of Speech Reflections in Hearing-Impaired Listeners

et al. 2022

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Speech recognition in rooms requires the temporal integration of reflections which arrive with a certain delay after the direct sound. It is commonly assumed that there is a certain temporal window of about 50–100 ms, during which reflections can be integrated with the direct sound, while later reflections are detrimental to speech intelligibility. This concept was challenged in a recent study by employing binaural room impulse responses (RIRs) with systematically varied interaural phase differences (IPDs) and amplitude of the direct sound and a variable number of reflections delayed by up to 200 ms. When amplitude or IPD favored late RIR components, normal-hearing (NH) listeners appeared to be capable of focusing on these components rather than on the precedent direct sound, which contrasted with the common concept of considering early RIR components as useful and late components as detrimental. The present study investigated speech intelligibility in the same conditions in hearing-impaired (HI) listeners. The data indicate that HI listeners were generally less able to “ignore” the direct sound than NH listeners, when the most useful information was confined to late RIR components. Some HI listeners showed a remarkable inability to integrate across multiple reflections and to optimally “shift” their temporal integration window, which was quite dissimilar to NH listeners. This effect was most pronounced in conditions requiring spatial and temporal integration and could provide new challenges for individual prediction models of binaural speech intelligibility.

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“…In order to simulate the hearing loss, the hearing threshold corresponding to the hearing loss was determined by adding the hearing loss level in dB HL to the hearing loss threshold defined in the ISO 226 (2003) standard loudness curves in dB SPL. The hearing loss values were calibrated to ear drum values as done in Hülsmeier et al. (2021) .…”

Section: Methodsmentioning

confidence: 99%

“…In combination with a physiologically plausible CI front-end feature extraction ( Fredelake and Hohmann, 2012 ), FADE was able to predict the unilateral SRTs of CI users ( Jürgens et al., 2018 ) and SRTs of monaural combinations of electric and acoustic listening that occur when CI users have retained acoustic hearing in the implanted ear ( Zamaninezhad et al., 2017 ). FADE also successfully predicts the effects of noise reduction algorithms on SRTs of moderately hearing-impaired listeners on group averages ( Schädler et al., 2018 ) and more recently also for individual hearing-impaired listeners ( Hülsmeier, Buhl, Wardenga, Warzybok, Schädler, Kollmeier, 2021 , Schädler, Hülsmeier, Warzybok, Kollmeier, 2020 ). However, being a monaural model, FADE has not yet been applied to model bimodal speech intelligibility, i.e., a combination of electric and acoustic listening across ears.…”

Section: Introductionmentioning

confidence: 97%

Modelling speech reception thresholds and their improvements due to spatial noise reduction algorithms in bimodal cochlear implant users

et al. 2022

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Inference of the distortion component of hearing impairment from speech recognition by predicting the effect of the attenuation component

Cited by 4 publications

References 60 publications

Age standardization and time-of-day performance for the Oldenburg Sentence Test (OLSA): results from the population-based Gutenberg Health Study

Age standardization and time-of-day performance for the Oldenburg Sentence Test (OLSA): results from the population-based Gutenberg Health Study

Spatio-temporal Integration of Speech Reflections in Hearing-Impaired Listeners

Modelling speech reception thresholds and their improvements due to spatial noise reduction algorithms in bimodal cochlear implant users

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