A review of the perceptual effects of hearing loss for frequencies above 3 kHz

Moore, Brian C. J.

doi:10.1080/14992027.2016.1204565

Cited by 42 publications

(35 citation statements)

References 67 publications

(76 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To our knowledge, this is direct, sample-based evidence that EHFs enhance speech hearing ability. It adds to previous studies that have combined EHF with lower-frequency stimuli (46), used only lower-frequency stimuli (4 to 8 kHz) (47,48), or presented clinical reports on individual cases (16).…”

Section: Discussionmentioning

confidence: 99%

Extended high-frequency hearing enhances speech perception in noise

Zadeh

Silbert

Sternasty

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

141

View full text Add to dashboard Cite

Young healthy adults can hear tones up to at least 20 kHz. However, clinical audiometry, by which hearing loss is diagnosed, is limited at high frequencies to 8 kHz. Evidence suggests there is salient information at extended high frequencies (EHFs; 8 to 20 kHz) that may influence speech intelligibility, but whether that information is used in challenging listening conditions remains unknown. Difficulty understanding speech in noisy environments is the most common concern people have about their hearing and usually the first sign of age-related hearing loss. Digits-in-noise (DIN), a widely used test of speech-in-noise perception, can be sensitized for detection of high-frequency hearing loss by low-pass filtering the broadband masking noise. Here, we used standard and EHF audiometry, self-report, and successively higher cutoff frequency filters (2 to 8 kHz) in a DIN test to investigate contributions of higher-frequency hearing to speech-in-noise perception. Three surprising results were found. First, 74 of 116 “normally hearing,” mostly younger adults had some hearing loss at frequencies above 8 kHz. Early EHF hearing loss may thus be an easily measured, preventive warning to protect hearing. Second, EHF hearing loss correlated with self-reported difficulty hearing in noise. Finally, even with the broadest filtered noise (≤8 kHz), DIN hearing thresholds were significantly better (P < 0.0001) than those using broadband noise. Sound energy above 8 kHz thus contributes to speech perception in noise. People with “normal hearing” frequently report difficulty hearing in challenging environments. Our results suggest that one contribution to this difficulty is EHF hearing loss.

show abstract

Section: Discussionmentioning

confidence: 99%

Extended high-frequency hearing enhances speech perception in noise

Zadeh

Silbert

Sternasty

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

141

View full text Add to dashboard Cite

show abstract

“…The intelligibility of speech in background babble was assessed for six of the participants. Increasing the audible frequency range of speech improves sentence intelligibility for frequency ranges up to at least 7.5 kHz ( Baer et al., 2002 ; Moore, 2016 ), especially for speech in babble noise that is spatially separated from the target voice ( Levy, Freed, Nilsson, Moore, & Puria, 2015 ; Moore, Füllgrabe, & Stone, 2010 ). Thus, we expected that the improved audibility provided by Fcomp might improve performance, at least for the spatially separated configuration.…”

Section: Discussionmentioning

confidence: 99%

“…For people with hearing loss, the intelligibility of speech in noise is correlated with the average hearing loss at 2 and 4 kHz ( Smoorenburg, 1992 ) or 2, 3, 4, and 6 kHz ( Amos & Humes, 2007 ). For a review, see Moore (2016) . In addition, the audibility of high-frequency components is important for sound quality ( Brennan et al., 2014 ; Moore, Füllgrabe, & Stone, 2011 ; Plyler & Fleck, 2006 ; Ricketts, Dittberner, & Johnson, 2008 ), detection of word-final /s, z/ ( Füllgrabe, Baer, Stone, & Moore, 2010 ), and identification of speech in noise ( Moore, 2016 ; Plyler & Fleck, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

“…For a review, see Moore (2016) . In addition, the audibility of high-frequency components is important for sound quality ( Brennan et al., 2014 ; Moore, Füllgrabe, & Stone, 2011 ; Plyler & Fleck, 2006 ; Ricketts, Dittberner, & Johnson, 2008 ), detection of word-final /s, z/ ( Füllgrabe, Baer, Stone, & Moore, 2010 ), and identification of speech in noise ( Moore, 2016 ; Plyler & Fleck, 2006 ). A bandwidth of 5 kHz or more is required to discriminate /s/ from other high-frequency consonants in the speech of female and child talkers ( Stelmachowicz, Pittman, Hoover, & Lewis, 2001 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of a Frequency-Lowering Algorithm for Adults With High-Frequency Hearing Loss

2017

Self Cite

View full text Add to dashboard Cite

The objective was to determine the effects of a frequency-lowering algorithm (frequency composition, Fcomp) on consonant identification, word-final /s, z/ detection, the intelligibility of sentences in noise, and subjective benefit, for people with high-frequency hearing loss, including people with dead regions (DRs) in the cochlea. A single-blind randomized crossover design was used. Performance with Bernafon Acriva 9 hearing aids was compared with Fcomp off and Fcomp on. Participants wore the hearing aids in each condition in a counterbalanced order. Data were collected after at least 8 weeks of experience with a condition. Outcome measures were audibility, scores from the speech perception tests, and scores from a questionnaire comparing self-perceived hearing ability with Fcomp off and Fcomp on. Ten adults with mild to severe high-frequency hearing loss (seven with extensive DRs, one with patchy or restricted DRs, and two with no DR) were tested. Fcomp improved the audibility of high-frequency sounds for 6 out of 10 participants. There was no overall effect of Fcomp on consonant identification, but the pattern of consonant confusions varied across conditions and participants. For word-final /s, z/ detection, performance was significantly better with Fcomp on than with Fcomp off. Questionnaire scores showed no differences between conditions. In summary, Fcomp improved word-final /s, z/ detection. No benefit was found for the other measures.

show abstract

“…457Although Plomp's attenuation and distortion components are often assumed to be 458 independent, some impairment mechanisms may, in fact, affect both speech-in-noise 459 perception and audiometric thresholds, especially at high frequencies(Moore, 2016), 460 which is consistent with distortion type I. Schädler, Hülsmeier, Warzybok, & Kollmeier 461 (2020) attempted to model supra-threshold auditory deficits that are independent of 462 audibility loss. Their results suggested that reduced speech intelligibility represents an 463 auditory perceptual deficit that may be associated with reduced tone-in-noise detection 464 which is in agreement with the results from the current study.…”

mentioning

confidence: 99%

Robust data-driven auditory profiling towards precision audiology

Sanchez-Lopez

Fereczkowski

Neher

et al. 2020

Preprint

View full text Add to dashboard Cite

Data-driven profiling allows uncovering complex hidden structures in a dataset and has been used as a diagnostic tool in various fields of work. In audiology, the clinical characterization of hearing deficits for hearing-aid fitting is typically based on the pure-tone audiogram only. Implicitly, this relies on the assumption that the audiogram can predict a listener's supra-threshold hearing abilities. Sanchez-Lopez et al. [Trends in hearing vol. 22 (2018)] hypothesized that the hearing deficits of a given listener, both at hearing threshold and at supra-threshold sound levels, result from two independent types of "auditory distortions". The authors performed a data-driven analysis of two large datasets with results from numerous tests, which led to the identification of four distinct "auditory profiles". However, the definition of the two types of distortion was challenged by differences between the two datasets in terms of the selected tests and type of listeners included in the datasets. Here, a new dataset was generated with the aim of overcoming those limitations. A heterogeneous group of listeners (N = 75) was tested using measures of speech intelligibility, loudness perception, binaural processing abilities and spectro-temporal resolution. The subsequent data analysis allowed refining the auditory profiles proposed by Sanchez-Lopez et al. (2018). Besides, a robust iterative data-driven method is proposed here to reduce the influence of the individual data in the definition of the auditory profiles. The updated auditory profiles may provide a useful basis for improved hearing rehabilitation, e.g. through profile-based hearing-aid fitting.

show abstract

A review of the perceptual effects of hearing loss for frequencies above 3 kHz

Cited by 42 publications

References 67 publications

Extended high-frequency hearing enhances speech perception in noise

Extended high-frequency hearing enhances speech perception in noise

Evaluation of a Frequency-Lowering Algorithm for Adults With High-Frequency Hearing Loss

Robust data-driven auditory profiling towards precision audiology

Contact Info

Product

Resources

About