National Acoustic Laboratories, Macquarie University, Sydney, NSW, Australia.
Department of Linguistics, Macquarie University, Sydney, NSW, Australia.
Int J Audiol. 2020 Apr;59(4):263-271. doi: 10.1080/14992027.2019.1689431. Epub 2019 Nov 13.
To create a language independent version of the Listening in Spatialised Noise - Sentences test (LiSN-S) and evaluate it in an English-speaking population. Test development and normative data collection. LiSN-Universal (LiSN-U) targets consisted of CVCV pseudo-words (e.g. /mupa/). Two looped distracter tracks consisted of CVCVCVCV pseudo-words. The listener's task was to repeat back the target pseudo-words. Stimuli were presented over headphones using an iPad. Speech reception thresholds were measured adaptively. In the co-located condition all stimuli came from directly in front. In the spatially-separated condition the distracters emanated from +90° and -90° azimuth. Perceived location was manipulated using head-related transfer functions. Spatial advantage was calculated as the difference in dB between the co-located and spatially separated conditions. Stimulus intelligibility data were collected from 20 adults. Normative data were collected from native English speakers (23 adults and 127 children). Children's spatially separated, co-located, and spatial advantage results improved significantly with age. Spatial advantage was 4-6 dB larger in the LiSN-U than LiSN-S depending on age group. Whereas additional research in non-native English populations is required, the LiSN-U appears to be an effective tool for measuring spatial processing ability.
创建一种与语言无关的 Listening in Spatialised Noise - Sentences test (LiSN-S) 版本,并在英语人群中对其进行评估。测试开发和规范数据收集。LiSN-Universal (LiSN-U) 目标由 CVCV 假词组成(例如 /mupa/)。两个循环干扰轨道由 CVCVCVCV 假词组成。听众的任务是重复目标假词。刺激通过 iPad 上的耳机呈现。使用自适应方法测量语音接收阈值。在共定位条件下,所有刺激都来自正前方。在空间分离条件下,干扰来自+90°和-90°方位。使用头部相关传递函数来操纵感知位置。空间优势计算为共定位和空间分离条件之间的 dB 差异。从 20 名成年人那里收集了可懂度数据。从以英语为母语的人(23 名成年人和 127 名儿童)那里收集了规范数据。随着年龄的增长,儿童的空间分离、共定位和空间优势结果显著提高。根据年龄组的不同,LiSN-U 的空间优势比 LiSN-S 大 4-6dB。虽然需要在非以英语为母语的人群中进行更多的研究,但 LiSN-U 似乎是一种测量空间处理能力的有效工具。