一种用于人工耳蜗使用者的频谱-时间处理测量方法的在线实现。

An online implementation of a measure of spectro-temporal processing by cochlear-implant listeners.

作者信息

Archer-Boyd Alan W, Harland Andrew, Goehring Tobias, Carlyon Robert P

机构信息

Cambridge Hearing Group, MRC Cognition and Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF, United Kingdom

出版信息

JASA Express Lett. 2023 Jan;3(1):014402. doi: 10.1121/10.0016838.

DOI:10.1121/10.0016838

PMID:36725534

Abstract

The spectro-temporal ripple for investigating processor effectiveness (STRIPES) test is a psychophysical measure of spectro-temporal resolution in cochlear-implant (CI) listeners. It has been validated using direct-line input and loudspeaker presentation with listeners of the Advanced Bionics CI. This article investigates the suitability of an online application using wireless streaming (webSTRIPES) as a remote test. It reports a strong across-listener correlation between STRIPES thresholds obtained using laboratory testing with loudspeaker presentation vs remote testing with streaming presentation, with no significant difference in STRIPES thresholds between the two measures. WebSTRIPES also produced comparable and robust thresholds with users of the Cochlear CI.

摘要

用于研究处理器效能的频谱-时间纹波（STRIPES）测试是一种用于测量人工耳蜗（CI）使用者频谱-时间分辨率的心理物理学方法。它已通过直接线路输入和使用先进仿生学人工耳蜗使用者的扬声器呈现进行了验证。本文研究了使用无线流技术的在线应用程序（网络STRIPES）作为远程测试的适用性。报告显示，在使用扬声器呈现的实验室测试与使用流呈现的远程测试中获得的STRIPES阈值之间，听众之间存在很强的相关性，两种测量方法的STRIPES阈值没有显著差异。网络STRIPES在科利耳人工耳蜗使用者中也产生了可比且稳健的阈值。