JOURNAL ARTICLE

Clear versus casual consonant identification by hearing-impaired and normal-hearing listeners

Matthew J. MakashayNancy Pearl Solomon

Year: 2019 Journal:   Clinical Linguistics & Phonetics Vol: 34 (8)Pages: 734-755   Publisher: Taylor & Francis

Abstract

Hearing-impaired (HI) listeners who benefit from hearing-aid use in quiet often continue to have difficulty understanding speech in noise. Requesting talkers to speak clearly is one strategy to overcome this deficit. Paradoxically, one feature of clear speech is a shift to higher frequencies, which may move speech energy into a frequency range that is inaudible or more distorted for some HI listeners. Casual (or conversational) speech, on the other hand, may shift speech energy into a lower frequency range that is more audible or less distorted. This study examined the intelligibility of 21 amplified, casually- and clearly-spoken, US English coda consonants in nonsense syllables for 10 normal-hearing (NH) and 17 HI listeners. Most clear-speech consonants yielded higher recognition scores as expected. However, certain phonological processes common in casual speech, such as palatalization of higher frequency alveolar into lower frequency postalveolar consonants, generated significantly higher scores than their clear counterparts for some HI listeners in noise. These results have implications for coaching conversational partners of aided HI listeners. For the military, talkers can be instructed how to speak to Service members with hearing loss or in noisy environments.

Keywords:
Psychology QUIET Audiology Intelligibility (philosophy) Consonant Casual Linguistics Speech recognition Computer science Vowel

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
32
Refs
0.19
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology
Hearing Loss and Rehabilitation
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing

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