Older adult recognition error patterns when listening to interrupted speech and speech in steady-state noise
Older adult recognition error patterns when listening to interrupted speech and speech in steady-state noise
复制标题
DOI：
10.1121/10.0006975
复制
发表时间：
2021-11-01
影响因子：
2.4
通讯作者：
Fogerty, Daniel
中科院分区：
文献类型：
--
作者：
Smith, Kimberly G.;Fogerty, Daniel
本研究探讨了句子识别错误的老年人在退化的听力条件下相比，以前的年轻人的样本。我们研究了听力正常的老年人重复被稳态噪声（SSN）破坏的句子或定期被噪声打断的句子，以保留33%，50%或66%的句子所犯的语音识别错误。反应转录和编码的数量和类型的关键字错误。错误随着句子保存的减少而增加。SSN和最大数量的中断（33%）之间观察到类似的句子识别。错误主要是在词的水平，而不是在音素的水平，包括省略或替换的关键字。与年轻的听众相比，老年人的听众作出更多的总错误和遗漏更多的整个词时，语音高度退化。当语音被更好地保留时，他们也会做更多的整词替换。此外，替换错误与句子语境的语义相关性随失真条件的不同而不同，在SSN中的语境效应大于中断。总体而言，年龄较大的听众反映较差的语音表征的错误。错误分析提供了一个更详细的说明语音识别的变化，在类型的错误，在不同的听力条件和听众群体。(C)2021年美国声学学会。
This study examined sentence recognition errors made by older adults in degraded listening conditions compared to a previous sample of younger adults. We examined speech recognition errors made by older normal-hearing adults who repeated sentences that were corrupted by steady-state noise (SSN) or periodically interrupted by noise to preserve 33%, 50%, or 66% of the sentence. Responses were transcribed and coded for the number and type of keyword errors. Errors increased with decreasing preservation of the sentence. Similar sentence recognition was observed between SSN and the greatest amount of interruption (33%). Errors were predominately at the word level rather than at the phoneme level and consisted of omission or substitution of keywords. Compared to younger listeners, older listeners made more total errors and omitted more whole words when speech was highly degraded. They also made more whole word substitutions when speech was more preserved. In addition, the semantic relatedness of the substitution errors to the sentence context varied according to the distortion condition, with greater context effects in SSN than interruption. Overall, older listeners made errors reflecting poorer speech representations. Error analyses provide a more detailed account of speech recognition by identifying changes in the type of errors made across listening conditions and listener groups. (C) 2021 Acoustical Society of America.