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词汇提取方面与年龄相关的差异与噪声环境下的语音识别有关。

Age-Related Differences in Lexical Access Relate to Speech Recognition in Noise.

作者信息

Carroll Rebecca, Warzybok Anna, Kollmeier Birger, Ruigendijk Esther

机构信息

Cluster of Excellence 'Hearing4all', University of OldenburgOldenburg, Germany; Institute of Dutch Studies, University of OldenburgOldenburg, Germany.

Cluster of Excellence 'Hearing4all', University of OldenburgOldenburg, Germany; Medizinische Physik, University of OldenburgOldenburg, Germany.

出版信息

Front Psychol. 2016 Jul 4;7:990. doi: 10.3389/fpsyg.2016.00990. eCollection 2016.

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.

摘要

词汇量已被认为是衡量“语言能力”的一个有用指标,它与语音识别分数相关。掌握更多单词与更好的语音识别能力相关。然而,词汇知识如何转化为一般的语音识别机制,这些机制如何与离线语音识别分数相关,以及它们如何受到声学失真或年龄的影响,目前尚不清楚。语言测量中与年龄相关的差异可能预示着噪声环境下语音识别中与年龄相关的差异。我们假设语音识别表现可以通过词汇提取效率来预测,词汇提取效率是指相对于心理词典的大小,搜索和获取给定单词的速度。我们在临床德语噪声句子测试中,以两种信噪比(SNR)对22名年轻(18 - 35岁)和22名年长(60 - 78岁)听力正常的听众进行了语音识别测试。我们还评估了接受性词汇、词汇提取时间、言语工作记忆和听力阈值,作为个体差异的指标。年龄组、SNR水平、词汇量和词汇提取时间是个体语音识别分数的显著预测因素,但工作记忆和听力阈值不是。有趣的是,更长的提取时间与更好的语音识别分数相关。针对年龄组和SNR的每个子集的分层回归模型显示出非常相似的模式:词汇量和词汇提取时间的组合对语音识别表现的贡献最大;只有在较好SNR水平下的年轻组(语音识别正确率约为85%),仅词汇量就能预测表现。我们的数据表明,噪声环境下成功的语音识别主要受词汇提取效率的调节。这表明老年人在语音识别任务中表现较差可能是由于词汇提取效率降低;尽管他们的平均词汇量与年轻人相似,但在词汇提取方面仍然较慢。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5188/4930932/d7d384853756/fpsyg-07-00990-g001.jpg

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