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1
A Randomized Control Trial: Supplementing Hearing Aid Use with Listening and Communication Enhancement (LACE) Auditory Training
In: ETSU Faculty Works (2016)
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2
The Homogeneity With Respect to Intelligibility of Recorded Word-Recognition Materials
In: ETSU Faculty Works (2015)
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3
Learning to Listen Again: The Role of Compliance in Auditory Training for Adults With Hearing Loss
In: ETSU Faculty Works (2013)
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4
Style Preference Survey: A Report on the Psychometric Properties and a Cross-Validation Experiment
In: ETSU Faculty Works (2013)
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5
Learning to Listen Again: The Role of Compliance in Auditory Training for Adults With Hearing Loss
In: ETSU Faculty Works (2013)
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6
Style Preference Survey: A Report on the Psychometric Properties and a Cross-Validation Experiment
In: ETSU Faculty Works (2013)
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7
The Revised Speech Perception in Noise Test (R-Spin) in a Multiple Signal-to-Noise Ratio Paradigm
In: ETSU Faculty Works (2012)
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8
Speech-in-Noise Measures: Variable Versus Fixed Speech and Noise Levels
In: ETSU Faculty Works (2012)
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9
Word-Recognition Performance in Interrupted Noise by Young Listeners With Normal Hearing and Older Listeners With Hearing Loss
In: ETSU Faculty Works (2010)
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10
Predicting Word-Recognition Performance in Noise by Young Listeners With Normal Hearing Using Acoustic, Phonetic, and Lexical Variables
In: ETSU Faculty Works (2008)
Abstract: Purpose: To analyze the 50% correct recognition data that were from the Wilson et al (this issue) study and that were obtained from 24 listeners with normal hearing; also to examine whether acoustic, phonetic, or lexical variables can predict recognition performance for monosyllabic words presented in speech-spectrum noise. Research Design: The specific variables are as follows: (a) acoustic variables (i.e., effective root-mean-square sound pressure level, duration), (b) phonetic variables (i.e., consonant features such as manner, place, and voicing for initial and final phonemes; vowel phonemes), and (c) lexical variables (i.e., word frequency, word familiarity, neighborhood density, neighborhood frequency). Data Collection and Analysis: The descriptive, correlational study will examine the influence of acoustic, phonetic, and lexical variables on speech recognition in noise performance. Results: Regression analysis demonstrated that 45% of the variance in the 50% point was accounted for by acoustic and phonetic variables whereas only 3% of the variance was accounted for by lexical variables. These findings suggest that monosyllabic word-recognition-in-noise is more dependent on bottom-up processing than on top-down processing. Conclusions: The results suggest that when speech-in-noise testing is used in a pre- and post-hearing-aid-fitting format, the use of monosyllabic words may be sensitive to changes in audibility resulting from amplification.
Keyword: auditory perception; hearing loss; speech perception; word recognition in multitalker babble
URL: https://dc.etsu.edu/etsu-works/17616
https://doi.org/10.3766/jaaa.19.6.6
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11
A Comparison of Recognition Performances in Speech-Spectrum Noise by Listeners With Normal Hearing on PB-50, CID W-22, Nu-6, W-1 Spondaic Words, and Monosyllabic Digits Spoken by the Same Speaker
In: ETSU Faculty Works (2008)
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12
Hearing - Articles and Reports - An Evaluation of the BKB-SIN, HINT, QuickSIN, and WIN Materials on Listeners With Normal Hearing and Listeners With Hearing Loss
In: Journal of speech, language, and hearing research. - Rockville, Md. : American Speech-Language-Hearing Association 50 (2007) 4, 844
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13
An Evaluation of the BKB-SIN, HINT, QuickSIN, and WIN Materials on Listeners With Normal Hearing and Listeners With Hearing Loss
In: ETSU Faculty Works (2007)
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14
Intra- and Inter-Session Test, Retest Reliability of the Words-in-Noise (WIN) Test
In: ETSU Faculty Works (2007)
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15
Speech Signals Used to Evaluate Functional Status of the Auditory System
In: ETSU Faculty Works (2005)
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