Audiology Incorporated, Arden Hills, Minnesota.
Division of Speech and Hearing Science, College of Health Solutions, Arizona State University, Tempe, Arizona.
J Am Acad Audiol. 2021 Oct;32(9):606-615. doi: 10.1055/s-0041-1733964. Epub 2022 Feb 17.
This project was undertaken to develop automated tests of speech recognition, including speech-recognition threshold (SRT) and word-recognition test, using forced-choice responses and computerized scoring of responses. Specific aims were (1) to develop an automated method for measuring SRT for spondaic words that produces scores that are in close agreement with average pure-tone thresholds and (2) to develop an automated test of word recognition that distinguishes listeners with normal hearing from those with sensorineural hearing loss and which informs the hearing aid evaluation process.
An automated SRT protocol was designed to converge on the lowest level at which the listener responds correctly to two out of two spondees presented monaurally. A word-recognition test was conducted with monosyllabic words (female speaker) presented monaurally at a fixed level. For each word, there were three rhyming foils, displayed on a touchscreen with the test word. The listeners touched the word they thought they heard. Participants were young listeners with normal hearing and listeners with sensorineural hearing loss. Words were also presented with nonrhyming foils and in an open-set paradigm. The open-set responses were scored by a graduate student research assistant.
The SRT results agreed closely with the pure-tone average (PTA) obtained by automated audiometry. The agreement was similar to results obtained with the conventional SRT scoring method. Word-recognition scores were highest for the closed-set, nonrhyming lists and lowest for open-set responses. For the hearing loss participants, the scores varied widely. There was a moderate correlation between word-recognition scores and pure-tone thresholds which increased as more high frequencies were brought into the PTA. Based on the findings of this study, a clinical protocol was designed that determines if a listener's performance was in the normal range and if the listener benefited from increasing the level of the stimuli.
SRTs obtained using the automated procedure are comparable to the results obtained by the conventional clinical method that is in common use. The automated closed-set word-recognition test results show clear differentiation between scores for the normal and hearing loss groups. These procedures provide clinical test results that are not dependent on the availability of an audiologist to perform the tests.
本项目旨在开发一种使用强制选择反应和计算机化反应评分的语音识别自动测试,包括语音识别阈值(SRT)和单词识别测试。具体目标是:(1)开发一种用于测量重读音节词 SRT 的自动方法,该方法产生的分数与平均纯音阈值非常吻合;(2)开发一种用于区分正常听力和感音神经性听力损失患者的自动单词识别测试,并为助听器评估过程提供信息。
设计了一种自动 SRT 协议,以收敛到最低水平,在此水平下,听众可以正确地对两个单声道呈现的重读音节中的两个做出反应。使用单声道呈现的单音节词(女性说话者)进行单词识别测试,固定水平。对于每个单词,有三个押韵的干扰词,显示在触摸屏上与测试词一起。听众触摸他们认为听到的单词。参与者是年轻的听力正常的听众和感音神经性听力损失的听众。单词也呈现非押韵干扰词和开放式测试。开放式测试反应由一名研究生研究助理进行评分。
SRT 结果与自动测听获得的纯音平均(PTA)非常吻合。与传统 SRT 评分方法的结果相似。对于封闭式、非押韵列表,单词识别得分最高;对于开放式测试,得分最低。对于听力损失参与者,分数差异很大。单词识别得分与纯音阈值之间存在中度相关性,随着更多高频纳入 PTA,相关性增加。基于本研究的结果,设计了一种临床方案,以确定听众的表现是否在正常范围内,以及听众是否受益于增加刺激水平。
使用自动程序获得的 SRT 与常规临床方法的结果相当,常规临床方法在实际中应用广泛。自动封闭式单词识别测试结果清楚地区分了正常组和听力损失组的分数。这些程序提供了不依赖听力学家进行测试的临床测试结果。