Document Detail


Relationship between Consonant Recognition in Noise and Hearing Threshold.
MedLine Citation:
PMID:  22199184     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: Although poorer understanding of speech in noise by hearing-impaired (HI) listeners is known not to be directly related to audiometric threshold [HT (f)], grouping HI listeners with HT (f) is widely practiced. In this study, the relationship between consonant recognition and HT (f) was considered over a range of signal-to-noise ratios (SNRs). METHOD: Confusion matrices (CMs) from 25 HI ears were generated in response to 16 consonant-vowel syllables presented at 6 different SNRs. Individual Differences SCALing (INDSCAL) was applied to both feature-based matrices and CMs in order to evaluate the relationship between HT (f) and consonant recognition among HI listeners. RESULTS: The results showed no predictive relationship between the percent error scores [Pe] and HT (f) across SNRs. The multiple regression models showed that the HT (f) accounted for 39% of the total variance of the slopes of the Pe. Feature-based INDSCAL analysis showed consistent grouping of listeners across SNRs, but not in terms of HT (f). Systematic relationship between measures was also not defined by CM-based INDSCAL analysis across SNRs. CONCLUSIONS: HT (f) did not account for the majority of the variance (39%) in consonant recognition in noise when the complete body of the CM was considered.
Authors:
Yang-Soo Yoon; Jont B Allen; David M Gooler
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-12-22
Journal Detail:
Title:  Journal of speech, language, and hearing research : JSLHR     Volume:  -     ISSN:  1558-9102     ISO Abbreviation:  -     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-12-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9705610     Medline TA:  J Speech Lang Hear Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Communication and Neuroscience Division, House Ear Institute, Los Angeles, CA.
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