Journal article
Across- and Within-Consonant Errors for Isolated Syllables in Noise
Journal of speech, language, and hearing research, Vol.57(6), pp.2293-2307
12/01/2014
DOI: 10.1044/2014_JSLHR-H-13-0244
PMID: 25087617
Abstract
Purpose: A critical issue in assessing speech recognition involves understanding the factors that cause listeners to make errors. Models like the articulation index show that average error decreases logarithmically with increases in signal-to-noise ratio (SNR). The authors investigated (a) whether this log-linear relationship holds across consonants and for individual tokens and (b) what accounts for differences in error rates at the across-and within-consonant levels.
Method: Listeners with normal hearing heard CV syllables (16 consonants and 4 vowels) spoken by 14 talkers, presented at 6 SNRs. Stimuli were presented randomly, and listeners indicated which syllable they heard.
Results: The log-linear relationship between error and SNR holds across consonants but breaks down at the token level. These 2 sources of variability (across-and withinconsonant factors) explain the majority of listeners' errors. Moreover, simply adjusting for differences in token-level error thresholds explains 62% of the variability in listeners' responses.
Conclusions: These results demonstrate that speech tests must control for the large variability among tokens, not average across them, as is commonly done in clinical practice. Accounting for token-level differences in error thresholds with listeners with normal hearing provides a basis for tests designed to diagnostically evaluate individual differences with listeners with hearing impairment.
Details
- Title: Subtitle
- Across- and Within-Consonant Errors for Isolated Syllables in Noise
- Creators
- Joseph C. Toscano - University of Illinois Urbana-ChampaignJont. B. Allen - University of Illinois Urbana-Champaign
- Resource Type
- Journal article
- Publication Details
- Journal of speech, language, and hearing research, Vol.57(6), pp.2293-2307
- Publisher
- Amer Speech-Language-Hearing Assoc
- DOI
- 10.1044/2014_JSLHR-H-13-0244
- PMID
- 25087617
- ISSN
- 1092-4388
- eISSN
- 1558-9102
- Number of pages
- 15
- Grant note
- Beckman Postdoctoral Fellowship
- Language
- English
- Date published
- 12/01/2014
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984627309002771
Metrics
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