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Lombard Effect for Bilingual Speakers in Cantonese and English: importance of spectro-temporal features ...
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Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners
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In: Trends Hear (2020)
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Modeling Binaural Unmasking of Speech Using a Blind Binaural Processing Stage
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In: Trends Hear (2020)
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Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise
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Are Experienced Hearing Aid Users Faster at Grasping the Meaning of a Sentence Than Inexperienced Users? An Eye-Tracking Study
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Age-related differences in lexical access relate to speech recognition in noise
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Abstract:
Vocabulary size has been suggested as a useful measure of “verbal abilities” that correlates with speech recognition scores. Knowing more words is linked to better speech recognition. How vocabulary knowledge translates to general speech recognition mechanisms, how these mechanisms relate to offline speech recognition scores, and how they may be modulated by acoustical distortion or age, is less clear. Age-related differences in linguistic measures may predict age-related differences in speech recognition in noise performance. We hypothesized that speech recognition performance can be predicted by the efficiency of lexical access, which refers to the speed with which a given word can be searched and accessed relative to the size of the mental lexicon. We tested speech recognition in a clinical German sentence-in-noise test at two signal-to-noise ratios (SNRs), in 22 younger (18–35 years) and 22 older (60–78 years) listeners with normal hearing. We also assessed receptive vocabulary, lexical access time, verbal working memory, and hearing thresholds as measures of individual differences. Age group, SNR level, vocabulary size, and lexical access time were significant predictors of individual speech recognition scores, but working memory and hearing threshold were not. Interestingly, longer accessing times were correlated with better speech recognition scores. Hierarchical regression models for each subset of age group and SNR showed very similar patterns: the combination of vocabulary size and lexical access time contributed most to speech recognition performance; only for the younger group at the better SNR (yielding about 85% correct speech recognition) did vocabulary size alone predict performance. Our data suggest that successful speech recognition in noise is mainly modulated by the efficiency of lexical access. This suggests that older adults’ poorer performance in the speech recognition task may have arisen from reduced efficiency in lexical access; with an average vocabulary size similar to that of younger adults, they were still slower in lexical access.
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Keyword:
Language; Other Germanic languages
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URL: http://oops.uni-oldenburg.de/3250/1/2016-42_carroll_article_fpsyg-07-00990.pdf http://oops.uni-oldenburg.de/3250/
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Are experienced hearing aid ssers faster at grasping the meaning of a sentence than inexperienced ssers? An eye-tracking study
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International Collegium of Rehabilitative Audiology (ICRA) recommendations for the construction of multilingual speech tests ...
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How Hearing Impairment Affects Sentence Comprehension: Using Eye Fixations to Investigate the Duration of Speech Processing
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Influence of vocabulary knowledge & lexical access times on speech intelligibility in different acoustic conditions
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An Eye-Tracking Paradigm for Analyzing the Processing Time of Sentences with Different Linguistic Complexities
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International kompatible und multilingual einsetzbare Sprachtests im Störschall ...
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