Predicting the effect of hearing loss and audibility on amplified speech reception in a multi-talker listening scenario

Woods, William S.; Kalluri, Sridhar; Pentony, Shareka; Nooraei, Nazanin

doi:10.1121/1.4803859

Cited by 33 publications

(31 citation statements)

References 52 publications

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“…Given that the glimpsed conditions essentially measure performance for the target alone, these limits are unlikely to reflect a listener's ability to segregate competing sounds. A similar conclusion was reached by Woods et al (2013) in their recent study using a rather different approach. Woods et al used a speech corpus specifically designed for the application of the SII, but presented it in the context of a spatialized multitalker situation.…”

Section: Discussionsupporting

confidence: 83%

Use of a glimpsing model to understand the performance of listeners with and without hearing loss in spatialized speech mixtures

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Mason

Swaminathan

et al. 2017

The Journal of the Acoustical Society of America

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In many situations, listeners with sensorineural hearing loss demonstrate reduced spatial release from masking compared to listeners with normal hearing. This deficit is particularly evident in the "symmetric masker" paradigm in which competing talkers are located to either side of a central target talker. However, there is some evidence that reduced target audibility (rather than a spatial deficit per se) under conditions of spatial separation may contribute to the observed deficit. In this study a simple "glimpsing" model (applied separately to each ear) was used to isolate the target information that is potentially available in binaural speech mixtures. Intelligibility of these glimpsed stimuli was then measured directly. Differences between normally hearing and hearingimpaired listeners observed in the natural binaural condition persisted for the glimpsed condition, despite the fact that the task no longer required segregation or spatial processing. This result is consistent with the idea that the performance of listeners with hearing loss in the spatialized mixture was limited by their ability to identify the target speech based on sparse glimpses, possibly as a result of some of those glimpses being inaudible.

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Section: Discussionsupporting

confidence: 83%

Use of a glimpsing model to understand the performance of listeners with and without hearing loss in spatialized speech mixtures

Best

Mason

Swaminathan

et al. 2017

The Journal of the Acoustical Society of America

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“…Each participant completed standard pure-tone audiometric testing, tympanometry, and a battery of tests that measured cognitive skills that may play a role in speech understanding (e.g., Akeroyd, 2008;Anderson et al, 2013;Helfer et al, 2013;Helfer and Freyman, 2014;Humes et al, 2006;Tun and Wingfield, 1999;Tun et al, 2002;Desjardins and Dougherty 2013;Woods et al, 2013). The older and middle-aged participants completed these initial tests in one visit and the speech recognition assessment in a second visit.…”

Section: Methodsmentioning

confidence: 99%

Lexical influences on competing speech perception in younger, middle-aged, and older adults

Helfer

Jesse

2015

The Journal of the Acoustical Society of America

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The influence of lexical characteristics of words in to-be-attended and to-be-ignored speech streams was examined in a competing speech task. Older, middle-aged, and younger adults heard pairs of low-cloze probability sentences in which the frequency or neighborhood density of words was manipulated in either the target speech stream or the masking speech stream. All participants also completed a battery of cognitive measures. As expected, for all groups, target words that occur frequently or that are from sparse lexical neighborhoods were easier to recognize than words that are infrequent or from dense neighborhoods. Compared to other groups, these neighborhood density effects were largest for older adults; the frequency effect was largest for middle-aged adults. Lexical characteristics of words in the to-be-ignored speech stream also affected recognition of tobe-attended words, but only when overall performance was relatively good (that is, when younger participants listened to the speech streams at a more advantageous signal-to-noise ratio). For these listeners, to-be-ignored masker words from sparse neighborhoods interfered with recognition of target speech more than masker words from dense neighborhoods. Amount of hearing loss and cognitive abilities relating to attentional control modulated overall performance as well as the strength of lexical influences.

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“…However, Woods et al (2013) found that, once the effects of age and hearing loss had been partialled out, TMT scores predicted speech recognition in a background of speech shaped noise and multi-talker babble, yet not when speech was presented in quiet or in a background of only speech shaped noise.…”

Section: Introductionmentioning

confidence: 95%

Predicting Speech-in-Noise Recognition From Performance on the Trail Making Test

et al. 2016

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Short summary (100 words)The purpose of the study was to investigate the relation between performance on the Trail Making Test and speech-in-noise recognition. All tests were administered over the internet and a sample of 1509 adults aged between 18 and 91 years old was recruited. The results of the study indicate that better performance in the TMT is associated with better speech-innoise recognition scores. This association was not limited to the higher order processes indexed in the TMT-B test but was also observed in relation to performance in the simple TMT-A test, thought to index processing speed. 3 ABSTRACT (250 words)Objective: The aim of the study was to investigate the utility of an internet-based version of the trail making test to predict performance on a speech in noise perception task Design: Data were taken from a sample of 1509 listeners aged between 18 and 91 years old.Participants completed computerized versions of the Trail Making Test and an adaptive speech-in-noise recognition test. All testing was conducted via the internet. Results:The results indicate that better performance on both the simple and complex subtests of the TMT are associated with better speech-in-noise recognition scores. 38 percent of the participants had scores on the speech in noise test that indicated the presence of a hearing loss. Conclusions:The findings suggest that the TMT may be a useful tool in the assessment, and possibly the treatment, of speech-recognition difficulties. The results indicate that the relation between speech-in-noise recognition and TMT performance relates both to the capacity of the TMT to index processing speed and to the more complex cognitive abilities also implicated in TMT performance.

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Predicting the effect of hearing loss and audibility on amplified speech reception in a multi-talker listening scenario

Cited by 33 publications

References 52 publications

Use of a glimpsing model to understand the performance of listeners with and without hearing loss in spatialized speech mixtures

Use of a glimpsing model to understand the performance of listeners with and without hearing loss in spatialized speech mixtures

Lexical influences on competing speech perception in younger, middle-aged, and older adults

Predicting Speech-in-Noise Recognition From Performance on the Trail Making Test

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