How does linguistic complexity influence intelligibility in a German audiometric sentence intelligibility test?

How does linguistic complexity influence intelligibility in a German audiometric sentence intelligibility test?
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DOI:
10.3109/14992027.2011.582166
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发表时间:
2011-09-01
影响因子:
2.7
通讯作者:
Kollmeier, Birger
Kollmeier, Birger
中科院分区:
医学3区
文献类型:
--
作者:
Uslar, Verena;Ruigendijk, Esther;Kollmeier, Birger

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目的:我们调查了语言的复杂性是否有助于噪声中的言语接收阈值(SRTN)的变化,因此应该作为一个额外的设计标准,用于测听的句子测试。设计:使用Gottingen句子测试(Kollmeier & Wesselkamp,1997)中的句子建立三个测试列表。一个列表包含语言简单的句子,另外两个列表包含两种语言复杂性的句子。对于每个监听器,确定每个列表的SRTN。研究样本:听力正常的年轻和老年听众和听力受损的老年听众进行了测试。结果:听力正常的年轻听众在复杂列表上的SRTNs比在简单列表上显着更差。在两个老年组中均未发现这种差异。结论:语言复杂性对语音识别的影响似乎取决于年龄和/或听力状况。因此,有待进一步研究,语言复杂性似乎不太相关的句子测试设计标准的临床听力学的目的,但我们认为,测试语言复杂性的变化较大的句子可能会显示语言复杂性和语音识别之间的关系,即使在临床人群。
Objective: We investigated if linguistic complexity contributes to the variation of the speech reception threshold in noise (SRTN) and thus should be employed as an additional design criterion in sentence tests used for audiometry. Design: Three test lists were established with sentences from the Gottingen sentence test (Kollmeier & Wesselkamp, 1997). One list contained linguistically simple sentences, the other two lists contained sentences with two types of linguistic complexity. For each listener the SRTN was determined for each list. Study Sample: Younger and older listeners with normal hearing and older listeners with hearing impairment were tested. Results: Younger listeners with normal hearing showed significantly worse SRTNs on the complex lists than on the simple list. This difference could not be found for either of the older groups. Conclusions: The effect of linguistic complexity on speech recognition seems to depend on age and/or hearing status. Hence, pending further research, linguistic complexity seems less relevant as a sentence test design criterion for clinical-audiological purposes, but we argue that a test with larger variation in linguistic complexity across sentences might show a relation between linguistic complexity and speech recognition even in a clinical population.