Development and validation of Portable Automated Rapid Testing (PART) measures for auditory research

Gallun, Frederick J.; Seitz, Aaron R.; Eddins, David A.; Molis, Michelle R.; Stavropoulos, Trevor; Jakien, Kasey M.; Kampel, Sean D.; Diedesch, Anna C.; Hoover, Eric C.; Bell, Karen L.; Souza, Pamela E.; Sherman, Melissa; Calandruccio, Lauren; Xue, Gretchen; Taleb, Nardine M; Sebena, Rene; Srinivasan, Nirmal Kumar

doi:10.1121/2.0000878

Cited by 38 publications

(33 citation statements)

References 6 publications

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“…In the Separated condition, 2 cases were rejected as outliers (Repeatability condition 1; Noise condition 1). Separated thresholds (M = -4.47 dB, SD = 3.31) closely resembled those reported by Gallun et al (2018) across two testing sites (-4.33 & -4.62 dB), all of which were higher on average than the predictions of the equation of , which predicts a threshold of -6.7 dB, which is still within 1 SD of those observed.…”

Section: Target Identification In Competitionsupporting

confidence: 78%

“…Interestingly, these cases are mainly due to performance that was better than average for more than 3 SD (see Supplemental Materials Fig S1), which has been observed previously for the occasional younger listener with normal hearing. Colocated thresholds (M = 1.94 dB, SD = 2.03) closely resemble those reported by Gallun et al (2018) across two testing sites (1.85 & 1.96 dB). Performance was slightly worse than predicted by the normative functions of , which are based on linear regression to the data from a variety of listeners varying in age and hearing loss.…”

Section: Target Identification In Competitionsupporting

confidence: 76%

“…STM thresholds obtained (M = 0.95 (M) dB, SD = 0.51) were converted using equation 1 to (M = -20.003 20log(m) dB, SD = 3.63) and closely resembled those previously reported in the literature. They were within a SD from those reported by Gallun et al (2018) for five different testing sites (range -21.74 to -18.42 dB) and for Chi et al (1999) (-22 dB). The obtained thresholds for STM are about 2 SD better than those reported by Bernstein et al (2013) (-14 dB).…”

Section: Assessmentsupporting

confidence: 74%

“…All procedures were conducted using standard iPad tablets (Apple, Inc., Cupertino, CA) running the PART Portable Automatic Rapid Testing (PART) application with stimuli delivered via either Sennheiser 280 Pro headphones (Sennheiser electronic GmbH & Co. KG, Wedemark, Germany), which are rated to have a 32 dB passive noise attenuation with an 8 Hz to 25 kHz frequency response, or Bose (active) noise cancelling Quiet Comfort 35 wireless headphones (Bose Corporation, Framingham, MA) set to the high noise cancelling setting. Output levels were calibrated for the Sennheiser headphones using an iBoundary microphone (MicW Audio, Beijing, China) connected to another iPad running the NIOSH Sound Level Meter App (SLM app; https://www.cdc.gov/niosh/topics/noise/ app.html), as described in Gallun et al, 2018). The SLM app and iBoundary microphone system were calibrated with reference to measurements made with a Head and Torso Simulator with Artificial Ears (Brüel & Kjaer Sound & Vibration Measurement A/S, Naerum, Denmark) in the anechoic chamber located at the VA RR&D National Center for Rehabilitative Auditory Research (NCRAR).…”

Section: B Materialsmentioning

confidence: 99%

“…To accomplish these goals, data were collected from young normal-hearing students from the University of California, Riverside campus under similar conditions to previous validation work from our group (Gallun et al, 2018) with repeated tests using circumaural headphones (Repeatability condition), with using both passive and active noiseattenuating headphones in a silent environment (Headphone condition), and in the presence of recorded cafeteria noise (Noise condition). First, the results addressing measurement reliability (test-retest) are presented.…”

Section: Introductionmentioning

confidence: 99%

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Portable Automated Rapid Testing (PART) for auditory assessment: Validation in a young adult normal-hearing population

Larrea-Mancera

Stavropoulos

Hoover

et al. 2020

Preprint

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AbstractThis study aims to determine the degree to which Portable Automated Rapid Testing (PART), a freely-available program running on a tablet computer, is capable of reproducing standard laboratory results. Undergraduate students were assigned to one of three within-subject conditions that examined repeatability of performance on a battery of psychoacoustical tests of temporal fine structure processing, spectro-temporal amplitude modulation, and targets in competition. The Repeatability condition examined test/retest with the same system, the Headphones condition examined the effects of varying headphones (passive and active noise-attenuating), and the Noise condition examined repeatability in the presence of recorded cafeteria noise. In general, performance on the test battery showed high repeatability, even across manipulated conditions, and was similar to that reported in the literature. These data serve as validation that suprathreshold psychoacoustical tests can be made accessible to run on consumer-grade hardware and performed in less controlled settings. This dataset also provides a distribution of thresholds that can be used as a normative baseline against which auditory dysfunction can be identified in future work.

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Section: Target Identification In Competitionsupporting

confidence: 78%

Section: Target Identification In Competitionsupporting

confidence: 76%

Section: Assessmentsupporting

confidence: 74%

Section: B Materialsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Portable Automated Rapid Testing (PART) for auditory assessment: Validation in a young adult normal-hearing population

Larrea-Mancera

Stavropoulos

Hoover

et al. 2020

Preprint

Self Cite

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Training with an auditory perceptual learning game transfers to speech in competition

et al. 2021

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Understanding speech in the presence of acoustical competition is a major complaint of those with hearing difficulties. Here, a novel perceptual learning game was tested for its effectiveness in reducing difficulties with hearing speech in competition. The game was designed to train a mixture of auditory processing skills thought to underlie speech in competition, such as spectral-temporal processing, sound localization, and auditory working memory. Training on these skills occurred both in quiet and in competition with noise. Thirty college-aged participants without any known hearing difficulties were assigned either to this mixed-training condition or an active control consisting of frequency discrimination training within the same gamified setting. To assess training effectiveness, tests of speech in competition (primary outcome), as well as basic supra-threshold auditory processing and cognitive processing abilities (secondary outcomes) were administered before and after training. Results suggest modest improvements on speech in competition tests in the mixed-training compared to the frequency-discrimination control condition (Cohen’s d = 0.68). While the sample is small, and in normally hearing individuals, these data suggest promise of future study in populations with hearing difficulties.

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Contributions to Speech-Cue Weighting in Older Adults With Impaired Hearing

Souza

Gallun

Wright

2020

J Speech Lang Hear Res

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Purpose In a previous paper ( Souza, Wright, Blackburn, Tatman, & Gallun, 2015 ), we explored the extent to which individuals with sensorineural hearing loss used different cues for speech identification when multiple cues were available. Specifically, some listeners placed the greatest weight on spectral cues (spectral shape and/or formant transition), whereas others relied on the temporal envelope. In the current study, we aimed to determine whether listeners who relied on temporal envelope did so because they were unable to discriminate the formant information at a level sufficient to use it for identification and the extent to which a brief discrimination test could predict cue weighting patterns. Method Participants were 30 older adults with bilateral sensorineural hearing loss. The first task was to label synthetic speech tokens based on the combined percept of temporal envelope rise time and formant transitions. An individual profile was derived from linear discriminant analysis of the identification responses. The second task was to discriminate differences in either temporal envelope rise time or formant transitions. The third task was to discriminate spectrotemporal modulation in a nonspeech stimulus. Results All listeners were able to discriminate temporal envelope rise time at levels sufficient for the identification task. There was wide variability in the ability to discriminate formant transitions, and that ability predicted approximately one third of the variance in the identification task. There was no relationship between performance in the identification task and either amount of hearing loss or ability to discriminate nonspeech spectrotemporal modulation. Conclusions The data suggest that listeners who rely to a greater extent on temporal cues lack the ability to discriminate fine-grained spectral information. The fact that the amount of hearing loss was not associated with the cue profile underscores the need to characterize individual abilities in a more nuanced way than can be captured by the pure-tone audiogram.

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Development and validation of Portable Automated Rapid Testing (PART) measures for auditory research

Cited by 38 publications

References 6 publications

Portable Automated Rapid Testing (PART) for auditory assessment: Validation in a young adult normal-hearing population

Portable Automated Rapid Testing (PART) for auditory assessment: Validation in a young adult normal-hearing population

Training with an auditory perceptual learning game transfers to speech in competition

Contributions to Speech-Cue Weighting in Older Adults With Impaired Hearing

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