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美国国家聋人及其他交流障碍者技术学院语音识别测试:NSRT(®)。

The NTID speech recognition test: NSRT(®).

作者信息

Bochner Joseph H, Garrison Wayne M, Doherty Karen A

机构信息

* National Technical Institute for the Deaf at Rochester Institute of Technology , Rochester , USA.

出版信息

Int J Audiol. 2015 Jul;54(7):490-8. doi: 10.3109/14992027.2014.991976. Epub 2015 Jan 30.

DOI:10.3109/14992027.2014.991976
PMID:25634775
Abstract

OBJECTIVE

The purpose of this study was to collect and analyse data necessary for expansion of the NSRT item pool and to evaluate the NSRT adaptive testing software.

DESIGN

Participants were administered pure-tone and speech recognition tests including W-22 and QuickSIN, as well as a set of 323 new NSRT items and NSRT adaptive tests in quiet and background noise. Performance on the adaptive tests was compared to pure-tone thresholds and performance on other speech recognition measures. The 323 new items were subjected to Rasch scaling analysis.

STUDY SAMPLE

Seventy adults with mild to moderately severe hearing loss participated in this study. Their mean age was 62.4 years (sd = 20.8).

RESULTS

The 323 new NSRT items fit very well with the original item bank, enabling the item pool to be more than doubled in size. Data indicate high reliability coefficients for the NSRT and moderate correlations with pure-tone thresholds (PTA and HFPTA) and other speech recognition measures (W-22, QuickSIN, and SRT).

CONCLUSION

The adaptive NSRT is an efficient and effective measure of speech recognition, providing valid and reliable information concerning respondents' speech perception abilities.

摘要

目的

本研究旨在收集和分析扩展噪声下言语识别测试(NSRT)项目库所需的数据,并评估NSRT自适应测试软件。

设计

对参与者进行纯音和言语识别测试,包括W-22和QuickSIN,以及一组323个新的NSRT项目和在安静和背景噪声环境下的NSRT自适应测试。将自适应测试的表现与纯音阈值以及其他言语识别测量的表现进行比较。对这323个新项目进行拉施标度分析。

研究样本

70名轻度至中度重度听力损失的成年人参与了本研究。他们的平均年龄为62.4岁(标准差=20.8)。

结果

323个新的NSRT项目与原始项目库拟合得非常好,使项目库的规模扩大了一倍多。数据表明NSRT具有较高的信度系数,与纯音阈值(PTA和HFPTA)以及其他言语识别测量(W-22、QuickSIN和SRT)具有中等相关性。

结论

自适应NSRT是一种高效且有效的言语识别测量方法,能提供有关受试者言语感知能力的有效且可靠的信息。

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