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Glimpsing keywords across sentences in noise: A microstructural analysis of acoustic lexical and listener factors

机译:噪声中句子中的关键词一瞥:声学、词汇和听众因素的微观结构分析

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摘要

This study investigated how acoustic and lexical word-level factors and listener-level factors of auditory thresholds and cognitive-linguistic processing contribute to the microstructure of sentence recognition in unmodulated and speech-modulated noise. The modulation depth of the modulated masker was changed by expanding and compressing the temporal envelope to control glimpsing opportunities. Younger adults with normal hearing (YNH) and older adults with normal and impaired hearing were tested. A second group of YNH was tested under acoustically identical conditions to the hearing-impaired group, who received spectral shaping. For all of the groups, speech recognition declined and masking release increased for later keywords in the sentence, which is consistent with the word position decreases in the signal-to-noise ratio. The acoustic glimpse proportion and lexical word frequency of individual keywords predicted recognition under different noise conditions. For the older adults, better auditory thresholds and better working memory abilities facilitated sentence recognition. Vocabulary knowledge contributed more to sentence recognition for younger than for older adults. These results demonstrate that acoustic and lexical factors contribute to the recognition of individual words within a sentence, but relative contributions vary based on the noise modulation characteristics. Taken together, acoustic, lexical, and listener factors contribute to how individuals recognize keywords during sentences.
机译:本研究调查了听觉阈值和认知语言处理的声学和词汇词级因素以及听众级因素如何影响未调制和语音调制噪声中句子识别的微观结构。通过扩展和压缩时间包络来控制瞥见机会,从而改变调制掩码的调制深度。对听力正常的年轻人 (YNH) 和听力正常和受损的老年人进行了测试。第二组 YNH 在与听力受损组相同的声学条件下进行测试,后者接受了频谱整形。对于所有组,句子中后面的关键词的语音识别能力下降,掩蔽释放增加,这与信噪比中单词位置的减少一致。单个关键词的声学瞥见比例和词汇词频预测了不同噪声条件下的识别。对于老年人来说,更好的听觉阈值和更好的工作记忆能力促进了句子识别。词汇知识对年轻人的句子识别的贡献大于老年人。这些结果表明,声学和词汇因素有助于识别句子中的单个单词,但相对贡献根据噪声调制特性而变化。综上所述,声学、词汇和听众因素共同影响了个人在句子中识别关键词的方式。

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