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无语言依赖的噪声和混响环境下言语测试(LISiNaR)的开发及在以英语为第二语言的听众中的评估。

The development of the Language-Independent Speech in Noise and Reverberation test (LISiNaR) and evaluation in listeners with English as a second language.

作者信息

Cameron Sharon, Boyle Christian, Dillon Harvey

机构信息

Department of Linguistics, Macquarie University, Sydney, Australia.

Division of Human Communication, Development and Hearing, University of Manchester, Manchester, United Kingdom.

出版信息

Int J Audiol. 2023 Aug;62(8):756-766. doi: 10.1080/14992027.2022.2078432. Epub 2022 Jun 2.

Abstract

OBJECTIVE

Create a language-independent, ecologically valid auditory processing assessment and evaluate relative stimuli intelligibility in native and non-native English speakers.

DESIGN

The Language-Independent Speech in Noise and Reverberation Test (LISiNaR) targets comprised consonant-vowel (CVCV) pseudo-words. Distractors comprised CVCVCVCV pseudo-words. Stimuli were presented over headphones using an iPad either face-to-face or remotely. Scoring occurred adaptively to establish a participant's speech reception threshold in noise (SRT). The listening environment was simulated using reverberant and anechoic head-related transfer functions. In four test conditions, targets originated from 0°. Distractors originated from either ±90°, ±67.5° and ±45° (spatially separated) or 0° azimuth (co-located). Reverberation impact (RI) was calculated as the difference in SRTs between the anechoic and reverberant conditions and spatial advantage (SA) as the difference between the spatially separated and co-located conditions.

STUDY SAMPLE

Young adult native speakers of Australian ( = 24) and Canadian (25) and non-native English speakers (34).

RESULTS

No significant effects of language occurred for the test conditions, RI or SA. A small but significant effect of delivery mode occurred for RI. Reverberation impacted SRT by 5 dB relative to anechoic conditions.

CONCLUSION

Performance on LISiNaR is not affected by the native language or accent of groups tested in this study.

摘要

目的

创建一种与语言无关、具有生态效度的听觉处理评估方法,并评估以英语为母语者和非英语母语者对相关刺激的可懂度。

设计

“与语言无关的噪声和混响中的语音测试”(LISiNaR)的目标刺激由辅音-元音(CVCV)假词组成。干扰刺激由CVCVCVCV假词组成。刺激通过iPad使用头戴式耳机面对面或远程呈现。评分采用自适应方式以确定参与者在噪声中的言语接受阈值(SRT)。使用混响和消声头部相关传递函数模拟聆听环境。在四种测试条件下,目标刺激来自0°。干扰刺激来自±90°、±67.5°和±45°(空间分离)或0°方位角(共定位)。混响影响(RI)计算为消声条件和混响条件下SRT的差值,空间优势(SA)计算为空间分离条件和共定位条件下的差值。

研究样本

24名澳大利亚年轻成年母语者、25名加拿大年轻成年母语者和34名非英语母语者。

结果

测试条件、RI或SA方面未出现语言的显著影响。RI在传递模式方面出现了一个小但显著的影响。相对于消声条件,混响使SRT提高了5dB。

结论

本研究中测试的群体在LISiNaR上的表现不受母语或口音的影响。

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