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Hits 1 – 8 of 8
1
Serial span predicts vocoded sentence recognition (Bosen & Barry, 2020) ...
Bosen, Adam K.
;
Barry, Michael F.
. - : ASHA journals, 2022
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2
Serial span predicts vocoded sentence recognition (Bosen & Barry, 2020) ...
Bosen, Adam K.
;
Barry, Michael F.
. - : ASHA journals, 2022
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3
Forward Digit Span and Word Familiarity Do Not Correlate With Differences in Speech Recognition in Individuals With Cochlear Implants After Accounting for Auditory Resolution
Bosen, Adam K.
;
Sevich, Victoria A.
;
Cannon, Shauntelle A.
In: J Speech Lang Hear Res (2021)
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4
Serial span predicts vocoded sentence recognition (Bosen & Barry, 2020) ...
Bosen, Adam K.
;
Barry, Michael F.
. - : ASHA journals, 2020
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5
Serial Recall Predicts Vocoded Sentence Recognition Across Spectral Resolutions
Bosen, Adam K.
;
Barry, Michael F.
In: J Speech Lang Hear Res (2020)
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6
Acoustic-Phonetic Mismatches Impair Serial Recall of Degraded Words
Bosen, Adam K.
;
Monzingo, Elizabeth
;
AuBuchon, Angela M.
In: Audit Percept Cogn (2020)
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7
Interactions Between Item Set and Vocoding in Serial Recall
Bosen, Adam K.
;
Luckasen, Mary C.
In: Ear Hear (2019)
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8
Individualized Frequency Importance Functions for Listeners with Sensorineural Hearing Loss
Bosen, Adam K.
;
Yoho Leopold, Sarah E.
In: Communicative Disorders and Deaf Education Faculty Publications (2019)
Abstract:
The Speech Intelligibility Index includes a series of frequency importance functions for calculating the estimated intelligibility of speech under various conditions. Until recently, techniques to derive frequency importance required averaging data over a group of listeners, thus hindering the ability to observe individual differences due to factors such as hearing loss. In the current study, the “random combination strategy” [Bosen and Chatterjee (2016). J. Acoust. Soc. Am. 140, 3718–3727] was used to derive frequency importance functions for individual hearing-impaired listeners, and normal-hearing participants for comparison. Functions were measured by filtering sentences to contain only random subsets of frequency bands on each trial, and regressing speech recognition against the presence or absence of bands across trials. Results show that the contribution of each band to speech recognition was inversely proportional to audiometric threshold in that frequency region, likely due to reduced audibility, even though stimuli were shaped to compensate for each individual's hearing loss. The results presented in this paper demonstrate that this method is sensitive to factors that alter the shape of frequency importance functions within individuals with hearing loss, which could be used to characterize the impact of audibility or other factors related to suprathreshold deficits or hearing aid processing strategies.
Keyword:
Audiometers
;
Audiometry
;
Auditory Perception
;
Auditory System
;
Communication Sciences and Disorders
;
Hearing Aids
;
Hearing Impairment
;
Regression Analysis
;
Speech Communication
;
Speech Pathology and Audiology
;
Speech Perception
;
Speech Recognition
URL:
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1506&context=comd_facpub
https://digitalcommons.usu.edu/comd_facpub/507
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